{ "aboutHtml": "

Whisper 1 ialah model API pengecaman pertuturan serba guna OpenAI, yang didokumenkan sebagai dikuasakan oleh model sumber terbuka Whisper V2. Ia menerima fail audio dan mengembalikan teks. Pengeluar menerangkan pengecaman berbilang bahasa, pengenalpastian bahasa dan tugas terjemahan pertuturan yang berasingan. Transkripsi mengekalkan bahasa yang dituturkan; antara muka terjemahan berasingan pengeluar mengembalikan teks bahasa Inggeris.

Aplikasi yang berguna ialah menyediakan temu bual, nota suara atau rakaman perbualan untuk carian dan penyuntingan kemudian. Berikan rakaman lengkap dan, jika diketahui, bahasa inputnya. OpenAI mendokumenkan 98 bahasa yang disokong dan menyatakan bahawa ketepatan pengecaman berbeza mengikut bahasa. Petunjuk satu bahasa menggunakan kod ISO 639-1; medan berbilang bahasa dan kata kunci yang lebih baharu pada model transkripsi lain ialah kawalan berasingan.

Aliran transkripsi fail pengeluar menerima fail sehingga 25 MB dalam format MP3, MP4, MPEG, MPGA, M4A, WAV atau WebM. Untuk rakaman yang lebih besar, gunakan format termampat atau bahagikannya kepada cebisan dalam had tersebut. Kekalkan sempadan ayat dan susunan cebisan supaya transkrip yang dicantumkan terus berkait dengan rakaman asal. Bekas video membekalkan audionya untuk tugas ini dan bukannya input penerangan visual.

Prompt boleh membekalkan nama, akronim atau kosa kata khusus rakaman serta konteks daripada segmen terdahulu. Had prompt Whisper ialah 224 token, dan prompt patut sepadan dengan bahasa audio. Pengeluar menyatakan bahawa Whisper tidak mengikuti arahan seperti model teks serba guna. Gunakan prompt sebagai konteks transkripsi yang berkaitan, kemudian semak ejaan penting berbanding rakaman dan bukannya menganggap senarai istilah sebagai perkataan yang semestinya dituturkan oleh penutur.

Pengeluar mendokumenkan format transkripsi JSON, teks biasa, SRT, VTT dan JSON terperinci. Cap masa perkataan dan segmen memerlukan JSON terperinci; satu atau kedua-dua tahap perincian boleh diminta. Rujukan API menyatakan bahawa cap masa segmen tidak menambah kependaman, manakala cap masa perkataan memerlukan pemprosesan tambahan. Output ini menyokong penyediaan kapsyen dan pencarian petikan semasa penyuntingan; anotasi diarisasi penutur adalah untuk model khusus yang berbeza.

Whisper 1 tidak menyokong penstriman transkripsi fail. Rujukannya turut mendokumenkan suhu pensampelan antara sifar dan satu; pada sifar, model boleh menaikkan suhu secara automatik apabila ambang penyahkodannya memerlukannya. Ini menerangkan kawalan pemprosesan pengeluar dan bukannya janji bahawa setiap rakaman menghasilkan transkrip yang serupa tepat atau tepat sepenuhnya.

Tentukan artifak akhir: transkrip untuk carian, fail sari kata atau teks dengan pemasaan perkataan atau segmen. Simpan rakaman asal, susunan cebisan dan rujukan masa sumber yang berkaitan bersama hasil. Langkah penyuntingan teks kemudian boleh membetulkan salah ejaan atau menyediakan ringkasan, tetapi bandingkan perubahan dengan audio supaya makna penutur dikekalkan. Teks yang dikenal pasti menjadi bukti untuk tugas seterusnya dan bukannya jawapan yang dijana kepada soalan yang dituturkan.

", "aboutText": "Whisper 1 ialah model API pengecaman pertuturan serba guna OpenAI, yang didokumenkan sebagai dikuasakan oleh model sumber terbuka Whisper V2. Ia menerima fail audio dan mengembalikan teks. Pengeluar menerangkan pengecaman berbilang bahasa, pengenalpastian bahasa dan tugas terjemahan pertuturan yang berasingan. Transkripsi mengekalkan bahasa yang dituturkan; antara muka terjemahan berasingan pengeluar mengembalikan teks bahasa Inggeris.\n\nAplikasi yang berguna ialah menyediakan temu bual, nota suara atau rakaman perbualan untuk carian dan penyuntingan kemudian. Berikan rakaman lengkap dan, jika diketahui, bahasa inputnya. OpenAI mendokumenkan 98 bahasa yang disokong dan menyatakan bahawa ketepatan pengecaman berbeza mengikut bahasa. Petunjuk satu bahasa menggunakan kod ISO 639-1; medan berbilang bahasa dan kata kunci yang lebih baharu pada model transkripsi lain ialah kawalan berasingan.\n\nAliran transkripsi fail pengeluar menerima fail sehingga 25 MB dalam format MP3, MP4, MPEG, MPGA, M4A, WAV atau WebM. Untuk rakaman yang lebih besar, gunakan format termampat atau bahagikannya kepada cebisan dalam had tersebut. Kekalkan sempadan ayat dan susunan cebisan supaya transkrip yang dicantumkan terus berkait dengan rakaman asal. Bekas video membekalkan audionya untuk tugas ini dan bukannya input penerangan visual.\n\nPrompt boleh membekalkan nama, akronim atau kosa kata khusus rakaman serta konteks daripada segmen terdahulu. Had prompt Whisper ialah 224 token, dan prompt patut sepadan dengan bahasa audio. Pengeluar menyatakan bahawa Whisper tidak mengikuti arahan seperti model teks serba guna. Gunakan prompt sebagai konteks transkripsi yang berkaitan, kemudian semak ejaan penting berbanding rakaman dan bukannya menganggap senarai istilah sebagai perkataan yang semestinya dituturkan oleh penutur.\n\nPengeluar mendokumenkan format transkripsi JSON, teks biasa, SRT, VTT dan JSON terperinci. Cap masa perkataan dan segmen memerlukan JSON terperinci; satu atau kedua-dua tahap perincian boleh diminta. Rujukan API menyatakan bahawa cap masa segmen tidak menambah kependaman, manakala cap masa perkataan memerlukan pemprosesan tambahan. Output ini menyokong penyediaan kapsyen dan pencarian petikan semasa penyuntingan; anotasi diarisasi penutur adalah untuk model khusus yang berbeza.\n\nWhisper 1 tidak menyokong penstriman transkripsi fail. Rujukannya turut mendokumenkan suhu pensampelan antara sifar dan satu; pada sifar, model boleh menaikkan suhu secara automatik apabila ambang penyahkodannya memerlukannya. Ini menerangkan kawalan pemprosesan pengeluar dan bukannya janji bahawa setiap rakaman menghasilkan transkrip yang serupa tepat atau tepat sepenuhnya.\n\nTentukan artifak akhir: transkrip untuk carian, fail sari kata atau teks dengan pemasaan perkataan atau segmen. Simpan rakaman asal, susunan cebisan dan rujukan masa sumber yang berkaitan bersama hasil. Langkah penyuntingan teks kemudian boleh membetulkan salah ejaan atau menyediakan ringkasan, tetapi bandingkan perubahan dengan audio supaya makna penutur dikekalkan. Teks yang dikenal pasti menjadi bukti untuk tugas seterusnya dan bukannya jawapan yang dijana kepada soalan yang dituturkan.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "13290b6c6d73e65987373ba0a6278d24d11b9e67c642439a802722c09a44c3f7", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "ms", "methods": [ { "html": "
O

OpenAI: Whisper 1

OpenAI /openai/whisper-1

Pengenalan

Whisper 1 mentranskripsikan fail audio yang lengkap kepada teks, dengan pengecaman berbilang bahasa dan cap masa perkataan atau segmen. Pengeluar menyokong format sari kata serta aliran terjemahan bahasa Inggeris yang berasingan; hasil transkripsi mengekalkan bahasa rakaman.

Input yang diterima
Audio
Hasil
transcription
Tentang model

Huraian ini merangkumi keupayaan model. Input, output dan pilihan yang tersedia di Ailoot disenaraikan di bawah untuk kaedah yang dipilih.

Whisper 1 ialah model API pengecaman pertuturan serba guna OpenAI, yang didokumenkan sebagai dikuasakan oleh model sumber terbuka Whisper V2. Ia menerima fail audio dan mengembalikan teks. Pengeluar menerangkan pengecaman berbilang bahasa, pengenalpastian bahasa dan tugas terjemahan pertuturan yang berasingan. Transkripsi mengekalkan bahasa yang dituturkan; antara muka terjemahan berasingan pengeluar mengembalikan teks bahasa Inggeris.

Aplikasi yang berguna ialah menyediakan temu bual, nota suara atau rakaman perbualan untuk carian dan penyuntingan kemudian. Berikan rakaman lengkap dan, jika diketahui, bahasa inputnya. OpenAI mendokumenkan 98 bahasa yang disokong dan menyatakan bahawa ketepatan pengecaman berbeza mengikut bahasa. Petunjuk satu bahasa menggunakan kod ISO 639-1; medan berbilang bahasa dan kata kunci yang lebih baharu pada model transkripsi lain ialah kawalan berasingan.

Aliran transkripsi fail pengeluar menerima fail sehingga 25 MB dalam format MP3, MP4, MPEG, MPGA, M4A, WAV atau WebM. Untuk rakaman yang lebih besar, gunakan format termampat atau bahagikannya kepada cebisan dalam had tersebut. Kekalkan sempadan ayat dan susunan cebisan supaya transkrip yang dicantumkan terus berkait dengan rakaman asal. Bekas video membekalkan audionya untuk tugas ini dan bukannya input penerangan visual.

Prompt boleh membekalkan nama, akronim atau kosa kata khusus rakaman serta konteks daripada segmen terdahulu. Had prompt Whisper ialah 224 token, dan prompt patut sepadan dengan bahasa audio. Pengeluar menyatakan bahawa Whisper tidak mengikuti arahan seperti model teks serba guna. Gunakan prompt sebagai konteks transkripsi yang berkaitan, kemudian semak ejaan penting berbanding rakaman dan bukannya menganggap senarai istilah sebagai perkataan yang semestinya dituturkan oleh penutur.

Pengeluar mendokumenkan format transkripsi JSON, teks biasa, SRT, VTT dan JSON terperinci. Cap masa perkataan dan segmen memerlukan JSON terperinci; satu atau kedua-dua tahap perincian boleh diminta. Rujukan API menyatakan bahawa cap masa segmen tidak menambah kependaman, manakala cap masa perkataan memerlukan pemprosesan tambahan. Output ini menyokong penyediaan kapsyen dan pencarian petikan semasa penyuntingan; anotasi diarisasi penutur adalah untuk model khusus yang berbeza.

Whisper 1 tidak menyokong penstriman transkripsi fail. Rujukannya turut mendokumenkan suhu pensampelan antara sifar dan satu; pada sifar, model boleh menaikkan suhu secara automatik apabila ambang penyahkodannya memerlukannya. Ini menerangkan kawalan pemprosesan pengeluar dan bukannya janji bahawa setiap rakaman menghasilkan transkrip yang serupa tepat atau tepat sepenuhnya.

Tentukan artifak akhir: transkrip untuk carian, fail sari kata atau teks dengan pemasaan perkataan atau segmen. Simpan rakaman asal, susunan cebisan dan rujukan masa sumber yang berkaitan bersama hasil. Langkah penyuntingan teks kemudian boleh membetulkan salah ejaan atau menyediakan ringkasan, tetapi bandingkan perubahan dengan audio supaya makna penutur dikekalkan. Teks yang dikenal pasti menjadi bukti untuk tugas seterusnya dan bukannya jawapan yang dijana kepada soalan yang dituturkan.

Tersedia di Ailoot · input & kaedah

Ailoot Ultra · Pengecaman pertuturan POST /v1/audio/transcriptions
Input
audio
Output
transcription
Format output
json
MedanJenisKeperluanNilai & hadLalai
MedanmodelJenisstringKeperluanDiperlukanNilai & had
openai/whisper-1
Lalai—
MedanfileJenisfileKeperluanDiperlukanNilai & had
Jenis kandungan: multipart/form-data
Lalai—
Medanresponse_formatJenisstringKeperluanPilihanNilai & had
json
Lalai—
Medaninput_audio.dataJenisbase64_stringKeperluanDiperlukanNilai & had
Terpakai apabila: Input JSON WhisperOR
Lalai—
Medaninput_audio.formatJenisstringKeperluanDiperlukanNilai & had
wav, mp3, flac, ogg, m4a, webm
Terpakai apabila: Input JSON WhisperOR
Lalai—
Gabungan bahan input

· Diperlukan: model, file

Parameter kaedah dan kitar hayat
ParameterKontrak
ParametercontoursKontrak{"content_types":["application/json","multipart/form-data"],"required_json":["model","input_audio.data","input_audio.format"],"required_multipart":["model","file"],"file_formats":["wav","mp3","flac","ogg","m4a","webm"],"response_format_optional":["json"]}, {"content_types":["multipart/form-data"],"required":["model","file"],"file_formats":["mp3"],"response_format_option":false}
Parametermax_bytesKontrak26214400
Parametermaterial_typesKontrakaudio

Kitar hayat: synchronous_result_then_owned_library

GET /v1/media/tasks/{task_id} · task_id sebenar yang dikembalikan atau rekod pustaka media

GET /v1/media/assets/{asset_id}/content

GET /v1/media/assets

GET /v1/media/assets/{asset_id}

Gunakan rakaman sebenar dan format yang sepadan.

Simpan transkrip penuh, segmen, ID penutur dan maklumat masa.

Pelan harga

Rujukan tarif tidak menambah pilihan permintaan. Parameter yang disokong disenaraikan untuk kaedah yang dipilih.

Mod pantas
Tidak dinyatakan Apabila mod pantas dipilih
Mod flex
Tidak dinyatakan Apabila mod flex dipilih
Usaha penaakulan maksimum
Tidak dinyatakan Apabila usaha penaakulan maksimum menggunakan pelarasan default

Kadar Ailoot

Harga mengikut konfigurasi

Padankan setiap caj dengan syarat yang dipaparkan. Gunakan satu kadar bagi setiap set konfigurasi alternatif.

KonfigurasiJadual kadarUnit pengebilanCaj
KonfigurasiKadar asas tokenJadual kadarKadar asasUnit pengebilan—Caj
Input · Token input — / 1K token
Output · Token output — / 1K token
Input · Bacaan cache — / 1K token
Input · Penulisan cache — / 1K token
Input · Penulisan cache, 1 jam — / 1K token
Konfigurasisaat audio inputJadual kadar—Unit pengebilanbagi setiap saat audio masukanCaj
Input · saat audio input $0.0002 bagi setiap saat audio masukan

Butiran tarif rujukan

Jadual rujukan peringkat model tidak mengubah pemilihan kaedah, sebut harga atau caj. Caj aktif menggunakan kadar kaedah Ailoot yang dipilih.

OpenAI: Whisper 1

Harga mengikut konfigurasi

KonfigurasiSyarat pengebilanCaj
KonfigurasiOpenAI: Whisper 1 · Konfigurasi lalaiSyarat pengebilanKonfigurasi lalaiCaj
Input · Saat audio input USD 0.0002 bagi setiap saat audio masukan

Ailoot merizabkan anggaran amaun sebelum permintaan. Selepas hasil diterima, caj akhir diselesaikan berdasarkan penggunaan terukur. Penyelesaian caj penstriman menggunakan rekod penggunaan akhir. Cara rizab dan penyelesaian caj berfungsi →

Contoh permintaan

Ailoot Ultra · Pengecaman pertuturan

set -eu\n: "${AILOOT_API_KEY:?Set your Ailoot API key}"\n: "${AILOOT_AUDIO_FILE:?Set the path to your actual MP3 recording}"\nexport AILOOT_AUDIO_FILE\npython3 - <<'PY_REQUEST'\nimport os\nfrom pathlib import Path\np=Path(os.environ["AILOOT_AUDIO_FILE"])\nif not p.is_file() or p.suffix.lower()!=".mp3":raise SystemExit("Choose an existing MP3 recording")\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/transcriptions \\\n  -H "Authorization: Bearer $AILOOT_API_KEY" \\\n  --form-string model=openai/whisper-1 -F "file=@$AILOOT_AUDIO_FILE" \\\n  -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path("result.json").read_text())))\nPY_RESULT\n

Terima dan simpan hasil

Ailoot Ultra · Pengecaman pertuturan

json

Pembacaan kandungan lain
set -eu\n: "${AILOOT_API_KEY:?Set your Ailoot API key}"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H "Authorization: Bearer $AILOOT_API_KEY" -o media-assets.json\n
Simpan semua hasil yang selesai

Simpan setiap respons lengkap, fail dan bahagian kandungan yang dikembalikan.

Simpan JSON lengkap, bukan teks sahaja; kekalkan setiap segmen/penutur/cap masa yang tersedia dan identiti tugas/aset sebenar.

Jika respons asal perlu disemak

Simpan operation_id/X-Client-Request-ID asal untuk penyelarasan rekod tanpa penghantaran semula; tiada laluan khusus untuk meninjau status audio.

Medan respons
MedanJenis
MedantextJenisstring
Medansegments[]Jenisobject
Medantask_idJenisstring
Medanasset_urlJenisstring
MedanusageJenisobject
Ralat dan langkah seterusnya
ResponsSyaratLangkah seterusnya
Respons400 · invalid_request_errorSyaratMedan wajib, perwakilan bahan atau nilai parameter tidak sahLangkah seterusnyaBetulkan medan yang ditunjukkan sebelum permintaan penciptaan baharu.
Responsserver_errorSyaratRespons yang dikembalikan menyatakan bahawa operasi atau hasil memerlukan semakanLangkah seterusnyaSimpan ID operasi/tugas asal yang dikembalikan, pengepala permintaan dan respons; teruskan pembacaan yang disokong bagi operasi asal tersebut. Jangan hantar semula permintaan penciptaan.

Alias

Alias model

Ailoot Ultra openai/whisper-1

Alias laluan kaedah

Gunakan laluan kaedah yang dipaparkan di atas.

ID pemanggil berkaitan

openai/whisper-1

", "method_identity": { "effective_request_model_id": "openai/whisper-1", "fmt": "transcriptions", "http": "POST", "path": "/v1/audio/transcriptions", "request_model_id": "openai/whisper-1", "route_label": "Ultra" }, "method_key": "Ultra|transcriptions|/v1/audio/transcriptions|openai%2Fwhisper-1", "ordinal": 0, "rawMethod": { "available": null, "cache_read": null, "cache_write": null, "cache_write_1h": null, "contract": { "data": { "all_results": "Retain complete JSON, not only text; preserve every available segment/speaker/timestamp and actual task/asset identity.", "errors": [ { "code": null, "condition": "Medan wajib, perwakilan bahan atau nilai parameter tidak sah", "http_status": 400, "recovery": "Betulkan medan yang ditunjukkan sebelum permintaan penciptaan baharu.", "type": "invalid_request_error" }, { "code": null, "condition": "Respons yang dikembalikan menyatakan bahawa operasi atau hasil memerlukan semakan", "http_status": null, "recovery": "Simpan ID operasi/tugas asal yang dikembalikan, pengepala permintaan dan respons; teruskan pembacaan yang disokong bagi operasi asal tersebut. Jangan hantar semula permintaan penciptaan.", "type": "server_error" } ], "hints": [], "ignored_fields": [], "lifecycle": { "all_results": "Follow everyactualreturnedoutputandownedasset; no result is discardedbecauseindex0orcontent_urlalreadyexists.", "assets": [ { "http": "GET", "path": "/v1/media/assets" }, { "http": "GET", "path": "/v1/media/assets/{asset_id}" } ], "content": [ { "http": "GET", "path": "/v1/media/assets/{asset_id}/content", "url_source": "exact returned signed URL; never construct token" } ], "mode": "synchronous_result_then_owned_library", "operation_id_is_not_task_id": true, "status": [ { "http": "GET", "id_source": "actual returned task_id or media library record", "path": "/v1/media/tasks/{task_id}" } ], "unknown": "Simpan operation_id/X-Client-Request-ID asal untuk penyelarasan rekod tanpa penghantaran semula; tiada laluan khusus untuk meninjau status audio." }, "limits": { "decoded_audio_max_bytes": 26214400 }, "material_combinations": [ { "content_types": [ "application/json", "multipart/form-data" ], "file_formats": [ "wav", "mp3", "flac", "ogg", "m4a", "webm" ], "required_json": [ "model", "input_audio.data", "input_audio.format" ], "required_multipart": [ "model", "file" ], "response_format_optional": [ "json" ] }, { "content_types": [ "multipart/form-data" ], "file_formats": [ "mp3" ], "required": [ "model", "file" ], "response_format_option": false } ], "media_library": { "asset": { "fields": [ { "description": null, "name": "asset_id", "type": "string" }, { "description": null, "name": "task_id", "type": "string" }, { "description": null, "name": "output_key", "type": "string" }, { "description": null, "name": "family", "type": "string" }, { "description": null, "name": "model", "type": "string" }, { "description": null, "name": "method", "type": "string" }, { "description": null, "name": "status", "type": "string" }, { "description": null, "name": "content_type", "type": "string" }, { "description": null, "name": "sha256", "type": "string" }, { "description": null, "name": "size_bytes", "type": "integer" }, { "description": null, "name": "content_url", "type": "string" } ], "http": "GET", "id_source": "actual returned asset_id", "path": "/v1/media/assets/{asset_id}" }, "content": { "http": "GET", "path": "/v1/media/assets/{asset_id}/content", "range_header_supported": true, "url_source": "Use exact returned signed content_url including its token; do not construct a token." }, "expired_link": { "code": "link_expired", "http_status": 404, "recovery": "Read the asset again to obtain its refreshed signed content_url, then fetch that URL. Do not regenerate." }, "list": { "all_pages": "Follow every returned next_cursor, then select records by their actual task_id/output_key.", "http": "GET", "output_fields": [ { "description": null, "name": "object", "type": "string" }, { "description": null, "name": "data", "type": "asset[]" }, { "description": null, "name": "next_cursor", "type": "string|null" } ], "parameters": [ { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "family", "required": false, "type": "string" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "cursor", "required": false, "type": "string" }, { "availability": "source_interface", "default": 20, "default_known": true, "enum": null, "enum_known": false, "maximum": 100, "minimum": 1, "name": "limit", "required": false, "type": "integer" } ], "path": "/v1/media/assets" }, "revoke": { "http": "DELETE", "meaning": "Revokes/deletes the existing owned file; this is not generation cancellation.", "path": "/v1/media/assets/{asset_id}", "pending_status": "revoking", "success_statuses": [ 202, 204 ] }, "task": { "http": "GET", "id_source": "actual returned task_id or media library record; operation_id is not task_id", "path": "/v1/media/tasks/{task_id}" } }, "operation_modes": [ "speech_to_text" ], "outputs": { "all_results": "Simpan JSON lengkap, bukan teks sahaja; kekalkan setiap segmen/penutur/cap masa yang tersedia dan identiti tugas/aset sebenar.", "family": "transcription", "fields": [ { "description": null, "name": "text", "type": "string" }, { "description": null, "name": "segments[]", "type": "object" }, { "description": null, "name": "task_id", "type": "string" }, { "description": null, "name": "asset_url", "type": "string" }, { "description": null, "name": "usage", "type": "object" } ], "format": "json" }, "parameters": [ { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "openai/whisper-1" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "availability": "source_interface", "content_type": "multipart/form-data", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "file", "required": true, "type": "file" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "json" ], "enum_known": true, "name": "response_format", "required": false, "type": "string" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "input_audio.data", "required": true, "type": "base64_string", "when": "Input JSON WhisperOR" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "wav", "mp3", "flac", "ogg", "m4a", "webm" ], "enum_known": true, "name": "input_audio.format", "required": true, "type": "string", "when": "Input JSON WhisperOR" } ], "profile_binding": "Exact existing Ailoot model and method; interface constraints below do not assert provider qualification.", "unsupported": [ "unlistedtranscriptionoptions", "formatlabelthatdiffersfromactualbytes" ] }, "hints": [ "Gunakan rakaman sebenar dan format yang sepadan.", "Simpan transkrip penuh, segmen, ID penutur dan maklumat masa." ], "input": { "contours": [ { "content_types": [ "application/json", "multipart/form-data" ], "file_formats": [ "wav", "mp3", "flac", "ogg", "m4a", "webm" ], "required_json": [ "model", "input_audio.data", "input_audio.format" ], "required_multipart": [ "model", "file" ], "response_format_optional": [ "json" ] }, { "content_types": [ "multipart/form-data" ], "file_formats": [ "mp3" ], "required": [ "model", "file" ], "response_format_option": false } ], "material_types": [ "audio" ], "max_bytes": 26214400 }, "lifecycle": { "assets": [ { "http": "GET", "path": "/v1/media/assets" }, { "http": "GET", "path": "/v1/media/assets/{asset_id}" } ], "content": [ { "http": "GET", "path": "/v1/media/assets/{asset_id}/content", "url_source": "exact returned signed URL; never construct token" } ], "mode": "synchronous_result_then_owned_library", "operation_id_is_not_task_id": true, "status": [ { "http": "GET", "id_source": "task_id sebenar yang dikembalikan atau rekod pustaka media", "path": "/v1/media/tasks/{task_id}" } ], "unknown": "Retain original operation_id/X-Client-Request-ID for reconciliation without resubmission; no dedicated audio poll route." }, "manufacturer_capability": null, "method": { "http": "POST", "path": "/v1/audio/transcriptions" }, "method_aliases": [], "operation_modes": [ "speech_to_text" ], "output": { "family": "transcription", "format": "json", "http_success": 200, "owned_result_fields_302": [ "task_id", "asset_url" ], "result": "owned complete JSON transcript" } }, "ctx": null, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] }, { "dimensions": { "quoted_unit": "per input audio second" }, "label": "input audio second", "units": [ { "amount": "0.0002", "amount_unit": "usd_per_exact_native_unit", "billing_input": true, "estimate_only": false, "key": "audio_input_second", "label": "input audio second", "native_amount_usd_per_unit": "0.0002", "native_quantity": 1, "public_unit_label": "per input audio second", "quantity": 1, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "audio_input_second" } ] } ], "declared_tariff_references": [ { "client_selectable": false, "key": "9f485f9d704ef2cd14f1", "label": "OpenAI: Whisper 1", "profiles": [ { "basis": "", "dimensions": { "conditions": "Konfigurasi lalai" }, "label": "OpenAI: Whisper 1 · Konfigurasi lalai", "units": [ { "amount": "0.0002", "amount_unit": "usd_per_exact_physical_unit", "billing_input": false, "key": "d4e53ea51572a9d8f9fcc8e4", "label": "Input audio seconds", "public_unit_label": "per input audio second", "quantity": "1", "rate_role": "declared_tariff_rate", "side": "in", "unit": "input_audio_second" } ] } ] } ], "examples": [ { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_AUDIO_FILE:?Set the path to your actual MP3 recording}\"\nexport AILOOT_AUDIO_FILE\npython3 - <<'PY_REQUEST'\nimport os\nfrom pathlib import Path\np=Path(os.environ[\"AILOOT_AUDIO_FILE\"])\nif not p.is_file() or p.suffix.lower()!=\".mp3\":raise SystemExit(\"Choose an existing MP3 recording\")\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/transcriptions \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" \\\n --form-string model=openai/whisper-1 -F \"file=@$AILOOT_AUDIO_FILE\" \\\n -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"result.json\").read_text())))\nPY_RESULT\n", "label": "curl", "language": "bash" }, { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-assets.json\n", "label": "List actual media assets", "language": "bash" }, { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_MEDIA_TASK_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_MEDIA_TASK_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_MEDIA_TASK_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/tasks/$resource_id\" \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-task.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-task.json\").read_text())))\nPY_RESULT\n", "label": "Read actual media task", "language": "bash" }, { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_ASSET_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_ASSET_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_ASSET_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/assets/$resource_id\" \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-asset.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-asset.json\").read_text())))\nPY_RESULT\n", "label": "Read actual asset metadata", "language": "bash" } ], "family": "openai", "fast_multiplier": null, "flex_multiplier": null, "fmt": "transcriptions", "hints": [ "Use actual recording and matching format.", "Preserve full transcript, segments, speaker IDs and timing." ], "http": "POST", "in": null, "input": [ "audio" ], "label": "Распознавание речи", "max_out": null, "max_reasoning_effort_multiplier": null, "method_aliases": [], "out": null, "output": [ "transcription" ], "path": "/v1/audio/transcriptions", "price_conditions": [ { "label": "Fast mode", "value": "Not specified", "when": "When fast mode is selected" }, { "label": "Flex mode", "value": "Not specified", "when": "When flex mode is selected" }, { "label": "Maximum reasoning effort", "value": "Not specified", "when": "When maximum reasoning effort uses the default adjustment" } ], "pricing": { "billing_mode": "per_request", "image_input_price": null, "image_output_price": null, "per_request_price": null, "unit_prices": { "audio_input_second": 0.0002 } }, "pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] }, { "dimensions": { "quoted_unit": "per input audio second" }, "label": "input audio second", "units": [ { "amount": "0.0002", "amount_unit": "usd_per_exact_native_unit", "billing_input": true, "estimate_only": false, "key": "audio_input_second", "label": "input audio second", "native_amount_usd_per_unit": "0.0002", "native_quantity": 1, "public_unit_label": "per input audio second", "quantity": 1, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "audio_input_second" } ] } ], "request_model_id": "openai/whisper-1", "route_label": "Ultra", "status_reads": [ "GET /v1/media/tasks/{task_id}", "GET /v1/media/assets/{asset_id}/content" ], "tiers": [], "units": [ { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" }, { "amount": "0.0002", "amount_unit": "usd_per_exact_native_unit", "billing_input": true, "estimate_only": false, "key": "audio_input_second", "label": "input audio second", "native_amount_usd_per_unit": "0.0002", "native_quantity": 1, "public_unit_label": "per input audio second", "quantity": 1, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "audio_input_second" } ] } } ], "model_id": "openai/whisper-1", "nativeProvenance": { "input_facts_canonical_sha256": "8c4bfc2b38fb909062fd18e3af70b2618ceb76e859db9d1ab38f4d6566e0ca14", "input_html_sha256": "34aac8c03f2fc8dbd7daef321266fa750618c25c357b9085974ae50b2eb862b3", "private_audit_sha256": "a8e96bf3fa38ed592357c9ae5ee1daf5a202c7659316c6a7d6bb717f5c2cab5d", "role": "historical-normalized-input-audit-hashes", "schema": "ailoot-native-model-provenance-v2" }, "page": { "canonical": "https://ailoot.ai/models/ms/openai-whisper-1/", "description": "Whisper 1 mentranskripsikan fail audio yang lengkap kepada teks, dengan pengecaman berbilang bahasa dan cap masa perkataan atau segmen. Pengeluar menyokong format sari kata serta aliran terjemahan bahasa Inggeris yang berasingan; hasil transkripsi mengekalkan bahasa rakaman.", "locale": "ms", "md_url": "https://ailoot.ai/models/ms/openai-whisper-1/index.md", "title": "OpenAI: Whisper 1 — Ailoot", "url": "https://ailoot.ai/models/ms/openai-whisper-1/" }, "rawModel": { "about": "Whisper 1 ialah model API pengecaman pertuturan serba guna OpenAI, yang didokumenkan sebagai dikuasakan oleh model sumber terbuka Whisper V2. Ia menerima fail audio dan mengembalikan teks. Pengeluar menerangkan pengecaman berbilang bahasa, pengenalpastian bahasa dan tugas terjemahan pertuturan yang berasingan. Transkripsi mengekalkan bahasa yang dituturkan; antara muka terjemahan berasingan pengeluar mengembalikan teks bahasa Inggeris.\n\nAplikasi yang berguna ialah menyediakan temu bual, nota suara atau rakaman perbualan untuk carian dan penyuntingan kemudian. Berikan rakaman lengkap dan, jika diketahui, bahasa inputnya. OpenAI mendokumenkan 98 bahasa yang disokong dan menyatakan bahawa ketepatan pengecaman berbeza mengikut bahasa. Petunjuk satu bahasa menggunakan kod ISO 639-1; medan berbilang bahasa dan kata kunci yang lebih baharu pada model transkripsi lain ialah kawalan berasingan.\n\nAliran transkripsi fail pengeluar menerima fail sehingga 25 MB dalam format MP3, MP4, MPEG, MPGA, M4A, WAV atau WebM. Untuk rakaman yang lebih besar, gunakan format termampat atau bahagikannya kepada cebisan dalam had tersebut. Kekalkan sempadan ayat dan susunan cebisan supaya transkrip yang dicantumkan terus berkait dengan rakaman asal. Bekas video membekalkan audionya untuk tugas ini dan bukannya input penerangan visual.\n\nPrompt boleh membekalkan nama, akronim atau kosa kata khusus rakaman serta konteks daripada segmen terdahulu. Had prompt Whisper ialah 224 token, dan prompt patut sepadan dengan bahasa audio. Pengeluar menyatakan bahawa Whisper tidak mengikuti arahan seperti model teks serba guna. Gunakan prompt sebagai konteks transkripsi yang berkaitan, kemudian semak ejaan penting berbanding rakaman dan bukannya menganggap senarai istilah sebagai perkataan yang semestinya dituturkan oleh penutur.\n\nPengeluar mendokumenkan format transkripsi JSON, teks biasa, SRT, VTT dan JSON terperinci. Cap masa perkataan dan segmen memerlukan JSON terperinci; satu atau kedua-dua tahap perincian boleh diminta. Rujukan API menyatakan bahawa cap masa segmen tidak menambah kependaman, manakala cap masa perkataan memerlukan pemprosesan tambahan. Output ini menyokong penyediaan kapsyen dan pencarian petikan semasa penyuntingan; anotasi diarisasi penutur adalah untuk model khusus yang berbeza.\n\nWhisper 1 tidak menyokong penstriman transkripsi fail. Rujukannya turut mendokumenkan suhu pensampelan antara sifar dan satu; pada sifar, model boleh menaikkan suhu secara automatik apabila ambang penyahkodannya memerlukannya. Ini menerangkan kawalan pemprosesan pengeluar dan bukannya janji bahawa setiap rakaman menghasilkan transkrip yang serupa tepat atau tepat sepenuhnya.\n\nTentukan artifak akhir: transkrip untuk carian, fail sari kata atau teks dengan pemasaan perkataan atau segmen. Simpan rakaman asal, susunan cebisan dan rujukan masa sumber yang berkaitan bersama hasil. Langkah penyuntingan teks kemudian boleh membetulkan salah ejaan atau menyediakan ringkasan, tetapi bandingkan perubahan dengan audio supaya makna penutur dikekalkan. Teks yang dikenal pasti menjadi bukti untuk tugas seterusnya dan bukannya jawapan yang dijana kepada soalan yang dituturkan.", "alias_of": null, "aliases": [], "author": "OpenAI", "available": null, "canonical_model": "openai/whisper-1", "capabilities": { "context_length": 0, "manufacturer_input": [ "audio" ], "manufacturer_output": [ "transcription" ] }, "card_routes": [ { "label": "Ultra", "rates": [ { "amount": "0.0002", "amount_unit": "usd_per_exact_native_unit", "billing_input": true, "estimate_only": false, "key": "audio_input_second", "label": "input audio second", "native_amount_usd_per_unit": "0.0002", "native_quantity": 1, "public_unit_label": "per input audio second", "quantity": 1, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "audio_input_second" } ], "summary": "Maklumat lengkap tentang harga konfigurasi terdapat dalam butiran." } ], "ctx": null, "entity_type": "model", "formats": [ "transcriptions" ], "id": "openai/whisper-1", "input": [ "audio" ], "kind": "transcription", "max_out": null, "methods": [ { "available": null, "cache_read": null, "cache_write": null, "cache_write_1h": null, "contract": { "data": { "all_results": "Retain complete JSON, not only text; preserve every available segment/speaker/timestamp and actual task/asset identity.", "errors": [ { "code": null, "condition": "Medan wajib, perwakilan bahan atau nilai parameter tidak sah", "http_status": 400, "recovery": "Betulkan medan yang ditunjukkan sebelum permintaan penciptaan baharu.", "type": "invalid_request_error" }, { "code": null, "condition": "Respons yang dikembalikan menyatakan bahawa operasi atau hasil memerlukan semakan", "http_status": null, "recovery": "Simpan ID operasi/tugas asal yang dikembalikan, pengepala permintaan dan respons; teruskan pembacaan yang disokong bagi operasi asal tersebut. Jangan hantar semula permintaan penciptaan.", "type": "server_error" } ], "hints": [], "ignored_fields": [], "lifecycle": { "all_results": "Follow everyactualreturnedoutputandownedasset; no result is discardedbecauseindex0orcontent_urlalreadyexists.", "assets": [ { "http": "GET", "path": "/v1/media/assets" }, { "http": "GET", "path": "/v1/media/assets/{asset_id}" } ], "content": [ { "http": "GET", "path": "/v1/media/assets/{asset_id}/content", "url_source": "exact returned signed URL; never construct token" } ], "mode": "synchronous_result_then_owned_library", "operation_id_is_not_task_id": true, "status": [ { "http": "GET", "id_source": "actual returned task_id or media library record", "path": "/v1/media/tasks/{task_id}" } ], "unknown": "Simpan operation_id/X-Client-Request-ID asal untuk penyelarasan rekod tanpa penghantaran semula; tiada laluan khusus untuk meninjau status audio." }, "limits": { "decoded_audio_max_bytes": 26214400 }, "material_combinations": [ { "content_types": [ "application/json", "multipart/form-data" ], "file_formats": [ "wav", "mp3", "flac", "ogg", "m4a", "webm" ], "required_json": [ "model", "input_audio.data", "input_audio.format" ], "required_multipart": [ "model", "file" ], "response_format_optional": [ "json" ] }, { "content_types": [ "multipart/form-data" ], "file_formats": [ "mp3" ], "required": [ "model", "file" ], "response_format_option": false } ], "media_library": { "asset": { "fields": [ { "description": null, "name": "asset_id", "type": "string" }, { "description": null, "name": "task_id", "type": "string" }, { "description": null, "name": "output_key", "type": "string" }, { "description": null, "name": "family", "type": "string" }, { "description": null, "name": "model", "type": "string" }, { "description": null, "name": "method", "type": "string" }, { "description": null, "name": "status", "type": "string" }, { "description": null, "name": "content_type", "type": "string" }, { "description": null, "name": "sha256", "type": "string" }, { "description": null, "name": "size_bytes", "type": "integer" }, { "description": null, "name": "content_url", "type": "string" } ], "http": "GET", "id_source": "actual returned asset_id", "path": "/v1/media/assets/{asset_id}" }, "content": { "http": "GET", "path": "/v1/media/assets/{asset_id}/content", "range_header_supported": true, "url_source": "Use exact returned signed content_url including its token; do not construct a token." }, "expired_link": { "code": "link_expired", "http_status": 404, "recovery": "Read the asset again to obtain its refreshed signed content_url, then fetch that URL. Do not regenerate." }, "list": { "all_pages": "Follow every returned next_cursor, then select records by their actual task_id/output_key.", "http": "GET", "output_fields": [ { "description": null, "name": "object", "type": "string" }, { "description": null, "name": "data", "type": "asset[]" }, { "description": null, "name": "next_cursor", "type": "string|null" } ], "parameters": [ { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "family", "required": false, "type": "string" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "cursor", "required": false, "type": "string" }, { "availability": "source_interface", "default": 20, "default_known": true, "enum": null, "enum_known": false, "maximum": 100, "minimum": 1, "name": "limit", "required": false, "type": "integer" } ], "path": "/v1/media/assets" }, "revoke": { "http": "DELETE", "meaning": "Revokes/deletes the existing owned file; this is not generation cancellation.", "path": "/v1/media/assets/{asset_id}", "pending_status": "revoking", "success_statuses": [ 202, 204 ] }, "task": { "http": "GET", "id_source": "actual returned task_id or media library record; operation_id is not task_id", "path": "/v1/media/tasks/{task_id}" } }, "operation_modes": [ "speech_to_text" ], "outputs": { "all_results": "Simpan JSON lengkap, bukan teks sahaja; kekalkan setiap segmen/penutur/cap masa yang tersedia dan identiti tugas/aset sebenar.", "family": "transcription", "fields": [ { "description": null, "name": "text", "type": "string" }, { "description": null, "name": "segments[]", "type": "object" }, { "description": null, "name": "task_id", "type": "string" }, { "description": null, "name": "asset_url", "type": "string" }, { "description": null, "name": "usage", "type": "object" } ], "format": "json" }, "parameters": [ { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "openai/whisper-1" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "availability": "source_interface", "content_type": "multipart/form-data", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "file", "required": true, "type": "file" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "json" ], "enum_known": true, "name": "response_format", "required": false, "type": "string" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "input_audio.data", "required": true, "type": "base64_string", "when": "Input JSON WhisperOR" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "wav", "mp3", "flac", "ogg", "m4a", "webm" ], "enum_known": true, "name": "input_audio.format", "required": true, "type": "string", "when": "Input JSON WhisperOR" } ], "profile_binding": "Exact existing Ailoot model and method; interface constraints below do not assert provider qualification.", "unsupported": [ "unlistedtranscriptionoptions", "formatlabelthatdiffersfromactualbytes" ] }, "hints": [ "Gunakan rakaman sebenar dan format yang sepadan.", "Simpan transkrip penuh, segmen, ID penutur dan maklumat masa." ], "input": { "contours": [ { "content_types": [ "application/json", "multipart/form-data" ], "file_formats": [ "wav", "mp3", "flac", "ogg", "m4a", "webm" ], "required_json": [ "model", "input_audio.data", "input_audio.format" ], "required_multipart": [ "model", "file" ], "response_format_optional": [ "json" ] }, { "content_types": [ "multipart/form-data" ], "file_formats": [ "mp3" ], "required": [ "model", "file" ], "response_format_option": false } ], "material_types": [ "audio" ], "max_bytes": 26214400 }, "lifecycle": { "assets": [ { "http": "GET", "path": "/v1/media/assets" }, { "http": "GET", "path": "/v1/media/assets/{asset_id}" } ], "content": [ { "http": "GET", "path": "/v1/media/assets/{asset_id}/content", "url_source": "exact returned signed URL; never construct token" } ], "mode": "synchronous_result_then_owned_library", "operation_id_is_not_task_id": true, "status": [ { "http": "GET", "id_source": "task_id sebenar yang dikembalikan atau rekod pustaka media", "path": "/v1/media/tasks/{task_id}" } ], "unknown": "Retain original operation_id/X-Client-Request-ID for reconciliation without resubmission; no dedicated audio poll route." }, "manufacturer_capability": null, "method": { "http": "POST", "path": "/v1/audio/transcriptions" }, "method_aliases": [], "operation_modes": [ "speech_to_text" ], "output": { "family": "transcription", "format": "json", "http_success": 200, "owned_result_fields_302": [ "task_id", "asset_url" ], "result": "owned complete JSON transcript" } }, "ctx": null, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] }, { "dimensions": { "quoted_unit": "per input audio second" }, "label": "input audio second", "units": [ { "amount": "0.0002", "amount_unit": "usd_per_exact_native_unit", "billing_input": true, "estimate_only": false, "key": "audio_input_second", "label": "input audio second", "native_amount_usd_per_unit": "0.0002", "native_quantity": 1, "public_unit_label": "per input audio second", "quantity": 1, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "audio_input_second" } ] } ], "declared_tariff_references": [ { "client_selectable": false, "key": "9f485f9d704ef2cd14f1", "label": "OpenAI: Whisper 1", "profiles": [ { "basis": "", "dimensions": { "conditions": "Konfigurasi lalai" }, "label": "OpenAI: Whisper 1 · Konfigurasi lalai", "units": [ { "amount": "0.0002", "amount_unit": "usd_per_exact_physical_unit", "billing_input": false, "key": "d4e53ea51572a9d8f9fcc8e4", "label": "Input audio seconds", "public_unit_label": "per input audio second", "quantity": "1", "rate_role": "declared_tariff_rate", "side": "in", "unit": "input_audio_second" } ] } ] } ], "examples": [ { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_AUDIO_FILE:?Set the path to your actual MP3 recording}\"\nexport AILOOT_AUDIO_FILE\npython3 - <<'PY_REQUEST'\nimport os\nfrom pathlib import Path\np=Path(os.environ[\"AILOOT_AUDIO_FILE\"])\nif not p.is_file() or p.suffix.lower()!=\".mp3\":raise SystemExit(\"Choose an existing MP3 recording\")\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/transcriptions \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" \\\n --form-string model=openai/whisper-1 -F \"file=@$AILOOT_AUDIO_FILE\" \\\n -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"result.json\").read_text())))\nPY_RESULT\n", "label": "curl", "language": "bash" }, { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-assets.json\n", "label": "List actual media assets", "language": "bash" }, { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_MEDIA_TASK_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_MEDIA_TASK_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_MEDIA_TASK_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/tasks/$resource_id\" \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-task.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-task.json\").read_text())))\nPY_RESULT\n", "label": "Read actual media task", "language": "bash" }, { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_ASSET_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_ASSET_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_ASSET_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/assets/$resource_id\" \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-asset.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-asset.json\").read_text())))\nPY_RESULT\n", "label": "Read actual asset metadata", "language": "bash" } ], "family": "openai", "fast_multiplier": null, "flex_multiplier": null, "fmt": "transcriptions", "hints": [ "Use actual recording and matching format.", "Preserve full transcript, segments, speaker IDs and timing." ], "http": "POST", "in": null, "input": [ "audio" ], "label": "Распознавание речи", "max_out": null, "max_reasoning_effort_multiplier": null, "method_aliases": [], "out": null, "output": [ "transcription" ], "path": "/v1/audio/transcriptions", "price_conditions": [ { "label": "Fast mode", "value": "Not specified", "when": "When fast mode is selected" }, { "label": "Flex mode", "value": "Not specified", "when": "When flex mode is selected" }, { "label": "Maximum reasoning effort", "value": "Not specified", "when": "When maximum reasoning effort uses the default adjustment" } ], "pricing": { "billing_mode": "per_request", "image_input_price": null, "image_output_price": null, "per_request_price": null, "unit_prices": { "audio_input_second": 0.0002 } }, "pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] }, { "dimensions": { "quoted_unit": "per input audio second" }, "label": "input audio second", "units": [ { "amount": "0.0002", "amount_unit": "usd_per_exact_native_unit", "billing_input": true, "estimate_only": false, "key": "audio_input_second", "label": "input audio second", "native_amount_usd_per_unit": "0.0002", "native_quantity": 1, "public_unit_label": "per input audio second", "quantity": 1, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "audio_input_second" } ] } ], "request_model_id": "openai/whisper-1", "route_label": "Ultra", "status_reads": [ "GET /v1/media/tasks/{task_id}", "GET /v1/media/assets/{asset_id}/content" ], "tiers": [], "units": [ { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" }, { "amount": "0.0002", "amount_unit": "usd_per_exact_native_unit", "billing_input": true, "estimate_only": false, "key": "audio_input_second", "label": "input audio second", "native_amount_usd_per_unit": "0.0002", "native_quantity": 1, "public_unit_label": "per input audio second", "quantity": 1, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "audio_input_second" } ] } ], "model_aliases": [ { "canonical_model_id": "openai/whisper-1", "request_model_id": "openai/whisper-1", "route_label": "Ultra" } ], "name": "OpenAI: Whisper 1", "price": { "in": null, "in_label": null, "out": null, "out_label": null, "sort_in": null, "sort_out": null, "varies": true }, "pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Ultra", "units": [ { "amount": "0.0002", "amount_unit": "usd_per_declared_unit", "conditions": {}, "key": "prompt", "label": "prompt", "quantity": "1", "rate_role": "typed_active_maker_rate", "side": "in", "unit": "input_audio_second" } ] } ], "public_id": "openai/whisper-1", "short": "Whisper 1 mentranskripsikan fail audio yang lengkap kepada teks, dengan pengecaman berbilang bahasa dan cap masa perkataan atau segmen. 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