{ "aboutHtml": "

Whisper 1 adalah model API pengenalan ucapan serbaguna OpenAI, yang didokumentasikan menggunakan model sumber terbuka Whisper V2. Model ini menerima berkas audio dan mengembalikan teks. Produsen menjelaskan pengenalan multibahasa, identifikasi bahasa, dan tugas penerjemahan ucapan yang terpisah. Transkripsi mempertahankan bahasa yang diucapkan; antarmuka terjemahan terpisah dari produsen mengembalikan teks bahasa Inggris.

Aplikasi yang berguna adalah menyiapkan wawancara, catatan suara, atau rekaman percakapan untuk pencarian dan penyuntingan kemudian. Berikan rekaman lengkap dan, jika diketahui, bahasa masukannya. OpenAI mendokumentasikan 98 bahasa yang didukung dan menyatakan bahwa ketepatan pengenalan bervariasi menurut bahasa. Petunjuk satu bahasa menggunakan kode ISO 639-1; kolom multibahasa dan kata kunci yang lebih baru pada model transkripsi lain merupakan kendali terpisah.

Alur transkripsi berkas produsen menerima berkas hingga 25 MB dalam format MP3, MP4, MPEG, MPGA, M4A, WAV, atau WebM. Untuk rekaman yang lebih besar, gunakan format terkompresi atau bagi menjadi potongan dalam batas tersebut. Pertahankan batas kalimat dan urutan potongan agar transkrip yang dirangkai tetap terhubung dengan rekaman asli. Kontainer video menyediakan audionya untuk tugas ini, bukan masukan deskripsi visual.

Prompt dapat memberikan nama, akronim, atau kosakata khusus rekaman serta konteks dari segmen sebelumnya. Batas prompt Whisper adalah 224 token, dan prompt harus sesuai dengan bahasa audio. Produsen menyatakan bahwa Whisper tidak mengikuti instruksi seperti model teks serbaguna. Gunakan prompt sebagai konteks transkripsi yang relevan, lalu periksa ejaan penting terhadap rekaman alih-alih memperlakukan daftar istilah sebagai kata-kata yang pasti diucapkan penutur.

Produsen mendokumentasikan format transkripsi JSON, teks biasa, SRT, VTT, dan JSON terperinci. Penanda waktu kata dan segmen memerlukan JSON terperinci; salah satu atau kedua tingkat perincian dapat diminta. Referensi API menyatakan bahwa penanda waktu segmen tidak menambah latensi, sedangkan penanda waktu kata memerlukan pemrosesan tambahan. Keluaran ini mendukung pembuatan takarir dan pencarian petikan selama penyuntingan; anotasi diarisasi penutur merupakan bagian dari model khusus yang berbeda.

Whisper 1 tidak mendukung streaming transkripsi berkas. Referensinya juga mendokumentasikan suhu sampling antara nol dan satu; pada nol, model dapat meningkatkan suhu secara otomatis ketika ambang dekodenya mengharuskan hal tersebut. Ini menjelaskan kendali pemrosesan produsen, bukan janji bahwa setiap rekaman menghasilkan transkrip yang identik atau akurat sempurna.

Tentukan artefak akhir: transkrip untuk pencarian, berkas subtitel, atau teks dengan informasi waktu kata atau segmen. Simpan rekaman asli, urutan potongan, dan referensi waktu sumber yang relevan bersama hasil. Langkah penyuntingan teks kemudian dapat memperbaiki salah eja atau menyiapkan ringkasan, tetapi bandingkan perubahan dengan audio agar makna penutur tetap terjaga. Teks yang dikenali menjadi bukti untuk tugas berikutnya, bukan jawaban yang dihasilkan atas pertanyaan yang diucapkan.

", "aboutText": "Whisper 1 adalah model API pengenalan ucapan serbaguna OpenAI, yang didokumentasikan menggunakan model sumber terbuka Whisper V2. Model ini menerima berkas audio dan mengembalikan teks. Produsen menjelaskan pengenalan multibahasa, identifikasi bahasa, dan tugas penerjemahan ucapan yang terpisah. Transkripsi mempertahankan bahasa yang diucapkan; antarmuka terjemahan terpisah dari produsen mengembalikan teks bahasa Inggris.\n\nAplikasi yang berguna adalah menyiapkan wawancara, catatan suara, atau rekaman percakapan untuk pencarian dan penyuntingan kemudian. Berikan rekaman lengkap dan, jika diketahui, bahasa masukannya. OpenAI mendokumentasikan 98 bahasa yang didukung dan menyatakan bahwa ketepatan pengenalan bervariasi menurut bahasa. Petunjuk satu bahasa menggunakan kode ISO 639-1; kolom multibahasa dan kata kunci yang lebih baru pada model transkripsi lain merupakan kendali terpisah.\n\nAlur transkripsi berkas produsen menerima berkas hingga 25 MB dalam format MP3, MP4, MPEG, MPGA, M4A, WAV, atau WebM. Untuk rekaman yang lebih besar, gunakan format terkompresi atau bagi menjadi potongan dalam batas tersebut. Pertahankan batas kalimat dan urutan potongan agar transkrip yang dirangkai tetap terhubung dengan rekaman asli. Kontainer video menyediakan audionya untuk tugas ini, bukan masukan deskripsi visual.\n\nPrompt dapat memberikan nama, akronim, atau kosakata khusus rekaman serta konteks dari segmen sebelumnya. Batas prompt Whisper adalah 224 token, dan prompt harus sesuai dengan bahasa audio. Produsen menyatakan bahwa Whisper tidak mengikuti instruksi seperti model teks serbaguna. Gunakan prompt sebagai konteks transkripsi yang relevan, lalu periksa ejaan penting terhadap rekaman alih-alih memperlakukan daftar istilah sebagai kata-kata yang pasti diucapkan penutur.\n\nProdusen mendokumentasikan format transkripsi JSON, teks biasa, SRT, VTT, dan JSON terperinci. Penanda waktu kata dan segmen memerlukan JSON terperinci; salah satu atau kedua tingkat perincian dapat diminta. Referensi API menyatakan bahwa penanda waktu segmen tidak menambah latensi, sedangkan penanda waktu kata memerlukan pemrosesan tambahan. Keluaran ini mendukung pembuatan takarir dan pencarian petikan selama penyuntingan; anotasi diarisasi penutur merupakan bagian dari model khusus yang berbeda.\n\nWhisper 1 tidak mendukung streaming transkripsi berkas. Referensinya juga mendokumentasikan suhu sampling antara nol dan satu; pada nol, model dapat meningkatkan suhu secara otomatis ketika ambang dekodenya mengharuskan hal tersebut. Ini menjelaskan kendali pemrosesan produsen, bukan janji bahwa setiap rekaman menghasilkan transkrip yang identik atau akurat sempurna.\n\nTentukan artefak akhir: transkrip untuk pencarian, berkas subtitel, atau teks dengan informasi waktu kata atau segmen. Simpan rekaman asli, urutan potongan, dan referensi waktu sumber yang relevan bersama hasil. Langkah penyuntingan teks kemudian dapat memperbaiki salah eja atau menyiapkan ringkasan, tetapi bandingkan perubahan dengan audio agar makna penutur tetap terjaga. Teks yang dikenali menjadi bukti untuk tugas berikutnya, bukan jawaban yang dihasilkan atas pertanyaan yang diucapkan.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "3e9dff551e2efbec191a29a1db6ad7d1b2d7ce4926e25c70842531de89e3d1be", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "id", "methods": [ { "html": "
O

OpenAI: Whisper 1

OpenAI /openai/whisper-1

Mulai

Whisper 1 mentranskripsikan berkas audio yang telah lengkap menjadi teks, dengan pengenalan multibahasa dan penanda waktu kata atau segmen. Produsen mendukung format subtitel dan alur terjemahan bahasa Inggris yang terpisah; hasil transkripsi mempertahankan bahasa rekaman.

Masukan yang diterima
Audio
Hasil
transcription
Tentang model

Deskripsi ini mencakup kemampuan model. Masukan, keluaran, dan opsi yang tersedia di Ailoot tercantum di bawah untuk metode yang dipilih.

Whisper 1 adalah model API pengenalan ucapan serbaguna OpenAI, yang didokumentasikan menggunakan model sumber terbuka Whisper V2. Model ini menerima berkas audio dan mengembalikan teks. Produsen menjelaskan pengenalan multibahasa, identifikasi bahasa, dan tugas penerjemahan ucapan yang terpisah. Transkripsi mempertahankan bahasa yang diucapkan; antarmuka terjemahan terpisah dari produsen mengembalikan teks bahasa Inggris.

Aplikasi yang berguna adalah menyiapkan wawancara, catatan suara, atau rekaman percakapan untuk pencarian dan penyuntingan kemudian. Berikan rekaman lengkap dan, jika diketahui, bahasa masukannya. OpenAI mendokumentasikan 98 bahasa yang didukung dan menyatakan bahwa ketepatan pengenalan bervariasi menurut bahasa. Petunjuk satu bahasa menggunakan kode ISO 639-1; kolom multibahasa dan kata kunci yang lebih baru pada model transkripsi lain merupakan kendali terpisah.

Alur transkripsi berkas produsen menerima berkas hingga 25 MB dalam format MP3, MP4, MPEG, MPGA, M4A, WAV, atau WebM. Untuk rekaman yang lebih besar, gunakan format terkompresi atau bagi menjadi potongan dalam batas tersebut. Pertahankan batas kalimat dan urutan potongan agar transkrip yang dirangkai tetap terhubung dengan rekaman asli. Kontainer video menyediakan audionya untuk tugas ini, bukan masukan deskripsi visual.

Prompt dapat memberikan nama, akronim, atau kosakata khusus rekaman serta konteks dari segmen sebelumnya. Batas prompt Whisper adalah 224 token, dan prompt harus sesuai dengan bahasa audio. Produsen menyatakan bahwa Whisper tidak mengikuti instruksi seperti model teks serbaguna. Gunakan prompt sebagai konteks transkripsi yang relevan, lalu periksa ejaan penting terhadap rekaman alih-alih memperlakukan daftar istilah sebagai kata-kata yang pasti diucapkan penutur.

Produsen mendokumentasikan format transkripsi JSON, teks biasa, SRT, VTT, dan JSON terperinci. Penanda waktu kata dan segmen memerlukan JSON terperinci; salah satu atau kedua tingkat perincian dapat diminta. Referensi API menyatakan bahwa penanda waktu segmen tidak menambah latensi, sedangkan penanda waktu kata memerlukan pemrosesan tambahan. Keluaran ini mendukung pembuatan takarir dan pencarian petikan selama penyuntingan; anotasi diarisasi penutur merupakan bagian dari model khusus yang berbeda.

Whisper 1 tidak mendukung streaming transkripsi berkas. Referensinya juga mendokumentasikan suhu sampling antara nol dan satu; pada nol, model dapat meningkatkan suhu secara otomatis ketika ambang dekodenya mengharuskan hal tersebut. Ini menjelaskan kendali pemrosesan produsen, bukan janji bahwa setiap rekaman menghasilkan transkrip yang identik atau akurat sempurna.

Tentukan artefak akhir: transkrip untuk pencarian, berkas subtitel, atau teks dengan informasi waktu kata atau segmen. Simpan rekaman asli, urutan potongan, dan referensi waktu sumber yang relevan bersama hasil. Langkah penyuntingan teks kemudian dapat memperbaiki salah eja atau menyiapkan ringkasan, tetapi bandingkan perubahan dengan audio agar makna penutur tetap terjaga. Teks yang dikenali menjadi bukti untuk tugas berikutnya, bukan jawaban yang dihasilkan atas pertanyaan yang diucapkan.

Tersedia di Ailoot · masukan & metode

Ailoot Ultra · Pengenalan ucapan POST /v1/audio/transcriptions
Masukan
audio
Keluaran
transcription
Format keluaran
json
KolomJenisPersyaratanNilai & batasanBawaan
KolommodelJenisstringPersyaratanWajibNilai & batasan
openai/whisper-1
Bawaan—
KolomfileJenisfilePersyaratanWajibNilai & batasan
Jenis konten: multipart/form-data
Bawaan—
Kolomresponse_formatJenisstringPersyaratanOpsionalNilai & batasan
json
Bawaan—
Kolominput_audio.dataJenisbase64_stringPersyaratanWajibNilai & batasan
Berlaku jika: masukan JSON WhisperOR
Bawaan—
Kolominput_audio.formatJenisstringPersyaratanWajibNilai & batasan
wav, mp3, flac, ogg, m4a, webm
Berlaku jika: masukan JSON WhisperOR
Bawaan—
Kombinasi bahan masukan

· Wajib: model, file

Parameter metode dan siklus hidup
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

Siklus hidup: synchronous_result_then_owned_library

GET /v1/media/tasks/{task_id} · task_id aktual yang dikembalikan atau catatan pustaka media

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

GET /v1/media/assets

GET /v1/media/assets/{asset_id}

Gunakan rekaman aktual dan format yang sesuai.

Pertahankan transkrip secara utuh, segmen, ID pembicara, dan waktu.

Paket

Referensi tarif tidak menambah opsi permintaan. Parameter yang didukung tercantum pada metode yang dipilih.

Mode Fast
Tidak ditentukan Saat mode fast dipilih
Mode Flex
Tidak ditentukan Saat mode flex dipilih
Upaya penalaran maksimum
Tidak ditentukan Saat upaya penalaran maksimum menggunakan penyesuaian default

Tarif Ailoot

Harga menurut konfigurasi

Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.

KonfigurasiJadwal tarifSatuan penagihanBiaya
KonfigurasiTarif dasar tokenJadwal tarifTarif dasarSatuan penagihan—Biaya
Masukan · Token masukan — / 1K token
Keluaran · Token keluaran — / 1K token
Masukan · Pembacaan cache — / 1K token
Masukan · Penulisan cache — / 1K token
Masukan · Penulisan cache, 1 jam — / 1K token
Konfigurasidetik audio masukanJadwal tarif—Satuan penagihanper detik audio masukanBiaya
Masukan · detik audio masukan $0.0002 per detik audio masukan

Detail tarif referensi

Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.

OpenAI: Whisper 1

Harga menurut konfigurasi

KonfigurasiKondisi penagihanBiaya
KonfigurasiOpenAI: Whisper 1 · Konfigurasi bawaanKondisi penagihanKonfigurasi bawaanBiaya
Masukan · Detik audio masukan US$0,0002 per detik audio masukan

Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. Cara kerja cadangan dan penyelesaian tagihan →

Contoh permintaan

Ailoot Ultra · Pengenalan ucapan

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 · Pengenalan ucapan

json

Pembacaan konten 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, berkas, dan bagian konten yang dikembalikan.

Simpan JSON secara utuh, bukan hanya teks; pertahankan setiap segmen/pembicara/stempel waktu yang tersedia dan identitas tugas/aset aktual.

Jika respons asli perlu diperiksa

Simpan operation_id/X-Client-Request-ID asli untuk rekonsiliasi tanpa pengiriman ulang; tidak ada rute polling khusus audio.

Kolom respons
KolomJenis
KolomtextJenisstring
Kolomsegments[]Jenisobject
Kolomtask_idJenisstring
Kolomasset_urlJenisstring
KolomusageJenisobject
Kesalahan dan langkah berikutnya
ResponsKondisiLangkah berikutnya
Respons400 · invalid_request_errorKondisiBidang wajib, representasi materi, atau nilai parameter tidak validLangkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru.
Responsserver_errorKondisiRespons yang dikembalikan menyatakan bahwa operasi atau hasil perlu diperiksaLangkah berikutnyaSimpan ID operasi/tugas asli yang dikembalikan, header permintaan, dan respons; lanjutkan pembacaan yang didukung untuk operasi asli tersebut. Jangan kirim ulang permintaan pembuatan.

Alias

Alias model

Ailoot Ultra openai/whisper-1

Alias jalur metode

Gunakan jalur metode yang ditampilkan di atas.

ID pemanggil terkait

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": "Bidang wajib, representasi materi, atau nilai parameter tidak valid", "http_status": 400, "recovery": "Perbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru.", "type": "invalid_request_error" }, { "code": null, "condition": "Respons yang dikembalikan menyatakan bahwa operasi atau hasil perlu diperiksa", "http_status": null, "recovery": "Simpan ID operasi/tugas asli yang dikembalikan, header permintaan, dan respons; lanjutkan pembacaan yang didukung untuk operasi asli tersebut. Jangan kirim ulang permintaan pembuatan.", "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 asli untuk rekonsiliasi tanpa pengiriman ulang; tidak ada rute polling khusus 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 secara utuh, bukan hanya teks; pertahankan setiap segmen/pembicara/stempel waktu yang tersedia dan identitas tugas/aset aktual.", "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": "masukan 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": "masukan JSON WhisperOR" } ], "profile_binding": "Exact existing Ailoot model and method; interface constraints below do not assert provider qualification.", "unsupported": [ "unlistedtranscriptionoptions", "formatlabelthatdiffersfromactualbytes" ] }, "hints": [ "Gunakan rekaman aktual dan format yang sesuai.", "Pertahankan transkrip secara utuh, segmen, ID pembicara, dan waktu." ], "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 aktual yang dikembalikan atau catatan 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 bawaan" }, "label": "OpenAI: Whisper 1 · Konfigurasi bawaan", "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": "61b8298cbc1dc0be33cadf18abf8bedf76a85f9ebfee5f449b4abda6bbb3f632", "input_html_sha256": "384b80ff15b7305c23350d5b6ea590e4d4ade5f0c0be36d81173b3fca8d5f744", "private_audit_sha256": "3699382c27f34c02c93ab48640552035a3f75b8a3e7d90a5f2ae79c950af689b", "role": "historical-normalized-input-audit-hashes", "schema": "ailoot-native-model-provenance-v2" }, "page": { "canonical": "https://ailoot.ai/models/id/openai-whisper-1/", "description": "Whisper 1 mentranskripsikan berkas audio yang telah lengkap menjadi teks, dengan pengenalan multibahasa dan penanda waktu kata atau segmen. Produsen mendukung format subtitel dan alur terjemahan bahasa Inggris yang terpisah; hasil transkripsi mempertahankan bahasa rekaman.", "locale": "id", "md_url": "https://ailoot.ai/models/id/openai-whisper-1/index.md", "title": "OpenAI: Whisper 1 — Ailoot", "url": "https://ailoot.ai/models/id/openai-whisper-1/" }, "rawModel": { "about": "Whisper 1 adalah model API pengenalan ucapan serbaguna OpenAI, yang didokumentasikan menggunakan model sumber terbuka Whisper V2. Model ini menerima berkas audio dan mengembalikan teks. Produsen menjelaskan pengenalan multibahasa, identifikasi bahasa, dan tugas penerjemahan ucapan yang terpisah. Transkripsi mempertahankan bahasa yang diucapkan; antarmuka terjemahan terpisah dari produsen mengembalikan teks bahasa Inggris.\n\nAplikasi yang berguna adalah menyiapkan wawancara, catatan suara, atau rekaman percakapan untuk pencarian dan penyuntingan kemudian. Berikan rekaman lengkap dan, jika diketahui, bahasa masukannya. OpenAI mendokumentasikan 98 bahasa yang didukung dan menyatakan bahwa ketepatan pengenalan bervariasi menurut bahasa. Petunjuk satu bahasa menggunakan kode ISO 639-1; kolom multibahasa dan kata kunci yang lebih baru pada model transkripsi lain merupakan kendali terpisah.\n\nAlur transkripsi berkas produsen menerima berkas hingga 25 MB dalam format MP3, MP4, MPEG, MPGA, M4A, WAV, atau WebM. Untuk rekaman yang lebih besar, gunakan format terkompresi atau bagi menjadi potongan dalam batas tersebut. Pertahankan batas kalimat dan urutan potongan agar transkrip yang dirangkai tetap terhubung dengan rekaman asli. Kontainer video menyediakan audionya untuk tugas ini, bukan masukan deskripsi visual.\n\nPrompt dapat memberikan nama, akronim, atau kosakata khusus rekaman serta konteks dari segmen sebelumnya. Batas prompt Whisper adalah 224 token, dan prompt harus sesuai dengan bahasa audio. Produsen menyatakan bahwa Whisper tidak mengikuti instruksi seperti model teks serbaguna. Gunakan prompt sebagai konteks transkripsi yang relevan, lalu periksa ejaan penting terhadap rekaman alih-alih memperlakukan daftar istilah sebagai kata-kata yang pasti diucapkan penutur.\n\nProdusen mendokumentasikan format transkripsi JSON, teks biasa, SRT, VTT, dan JSON terperinci. Penanda waktu kata dan segmen memerlukan JSON terperinci; salah satu atau kedua tingkat perincian dapat diminta. Referensi API menyatakan bahwa penanda waktu segmen tidak menambah latensi, sedangkan penanda waktu kata memerlukan pemrosesan tambahan. Keluaran ini mendukung pembuatan takarir dan pencarian petikan selama penyuntingan; anotasi diarisasi penutur merupakan bagian dari model khusus yang berbeda.\n\nWhisper 1 tidak mendukung streaming transkripsi berkas. Referensinya juga mendokumentasikan suhu sampling antara nol dan satu; pada nol, model dapat meningkatkan suhu secara otomatis ketika ambang dekodenya mengharuskan hal tersebut. Ini menjelaskan kendali pemrosesan produsen, bukan janji bahwa setiap rekaman menghasilkan transkrip yang identik atau akurat sempurna.\n\nTentukan artefak akhir: transkrip untuk pencarian, berkas subtitel, atau teks dengan informasi waktu kata atau segmen. Simpan rekaman asli, urutan potongan, dan referensi waktu sumber yang relevan bersama hasil. Langkah penyuntingan teks kemudian dapat memperbaiki salah eja atau menyiapkan ringkasan, tetapi bandingkan perubahan dengan audio agar makna penutur tetap terjaga. Teks yang dikenali menjadi bukti untuk tugas berikutnya, bukan jawaban yang dihasilkan atas pertanyaan yang diucapkan.", "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": "Informasi lengkap harga konfigurasi tersedia di bagian detail." } ], "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": "Bidang wajib, representasi materi, atau nilai parameter tidak valid", "http_status": 400, "recovery": "Perbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru.", "type": "invalid_request_error" }, { "code": null, "condition": "Respons yang dikembalikan menyatakan bahwa operasi atau hasil perlu diperiksa", "http_status": null, "recovery": "Simpan ID operasi/tugas asli yang dikembalikan, header permintaan, dan respons; lanjutkan pembacaan yang didukung untuk operasi asli tersebut. Jangan kirim ulang permintaan pembuatan.", "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 asli untuk rekonsiliasi tanpa pengiriman ulang; tidak ada rute polling khusus 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 secara utuh, bukan hanya teks; pertahankan setiap segmen/pembicara/stempel waktu yang tersedia dan identitas tugas/aset aktual.", "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": "masukan 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": "masukan JSON WhisperOR" } ], "profile_binding": "Exact existing Ailoot model and method; interface constraints below do not assert provider qualification.", "unsupported": [ "unlistedtranscriptionoptions", "formatlabelthatdiffersfromactualbytes" ] }, "hints": [ "Gunakan rekaman aktual dan format yang sesuai.", "Pertahankan transkrip secara utuh, segmen, ID pembicara, dan waktu." ], "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 aktual yang dikembalikan atau catatan 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 bawaan" }, "label": "OpenAI: Whisper 1 · Konfigurasi bawaan", "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 berkas audio yang telah lengkap menjadi teks, dengan pengenalan multibahasa dan penanda waktu kata atau segmen. 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