Dža ko lil

ElevenLabs Speech to Text - Scribe V2

Integriruj

Modelosko id elevenlabs/speech-to-text/scribe-v2
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/elevenlabs/speech-to-text/scribe-v2?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"

Fajlo sar o misalo: $0.008 8 API krediti · ≈ ₽0.86 tire fajlo si merime angl-o phiripen Phir les kate

Lel API klidin
ElevenLabs Lav ko Teksto #speech-to-text

Transkribijarel audio vakeripnaske džanenipnasa, audio-eventoske tagenca thaj keyterm biasing-esa

ElevenLabs · Teksto

Tiro prvo rezultato si kate

Ker tele jekh mangipen thaj phir les tire API klidinosa. E rezultatur si kopirime amare arakhipneste, vično vaj 7 dives bilačhes.

Ker jekh mangipen

O kontrolura kerde si katar e schemaske. O kodo thaj e cena menjinen sar tu len menjines.

•trubul audio_url
Čhiv jekh fajl, vaj

URL kaj si audio vaš transkripcija.

standardno []

Del dži 100 keyterms, sajekh na buter 50 karaktera, te skierel e transkripcija ko kodola lava vaj sentence.

Lučhe language_code · tag_audio_events · diarize

Kodo savo identifikujel e audioski čhib.

POST /run/elevenlabs/speech-to-text/scribe-v2?wait=20 hesab → $0.008
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/elevenlabs/speech-to-text/scribe-v2?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"

Phandel kava mangipen

Tiro kluč ačhel kadale browsereste: bičhalel pes numa ko Doitong API thaj šuvav pes (localStorage) numa te tiknes Remember. Le jekh API ključ

Palal ElevenLabs Speech to Text - Scribe V2

Bičhal `audio_url` thaj le pherdo tekstos, alavoske detalja, thaj pindžardi čhib probabilitetoske skorosa. `diarize` sikavel kon vakerel thaj `tag_audio_events` labelijarel šunda sar asavipen. `language_code` šaj te avel dino, thaj `keyterms` lel dži 100 alava vaj fraze vaś te vodil o pindžaripen.

Parametra

Bičhalav vaj e kanonikano nav vaj e native nav, na duj. Kanonikane nava

NavTip standardnoMuklo Vakeripe
audio_urltrubul audio
Tipurl · audio
URL kaj si audio vaš transkripcija.
language_codeopcionalno
Tipstring | null
Kodo savo identifikujel e audioski čhib.
tag_audio_eventsopcionalno
Tipboolean
standardnotrue
Kontrolinel tagipen e audioske eventonge, sar asavipen vaj aplauzo.
diarizeopcionalno
Tipboolean
standardnotrue
Kontrolinel whether vakerutne identitetura si anotime.
keytermsopcionalno
Tipstring[]
standardno[]
≤ 100 artiklura
Del dži 100 keyterms, sajekh na buter 50 karaktera, te skierel e transkripcija ko kodola lava vaj sentence.
trubul Kanonikano nav, vi akceptime

Fajloske parametra lel jekh publikano https:// URL, jekh data: URI dži 10 MB, vaj e file_url uploadoski. Fajlura

Rezultato

GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t
{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "elevenlabs/speech-to-text/scribe-v2",
  "status": "succeeded",
  "created_at": "2026-10-20T12:00:00Z",
  "started_at": "2026-10-20T12:00:02Z",
  "completed_at": "2026-10-20T12:00:09Z",
  "queue_position": null,
  "cost": {
    "credits": 8,
    "usd": "0.008",
    "charged": 8,
    "refunded": 0
  },
  "input": {
    "audio_url": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
  },
  "output": {
    "text": "string",
    "language_code": "eng",
    "language_probability": 1,
    "words": [
      {
        "text": "string",
        "start": 1.0,
        "end": 1.0,
        "type": "string",
        "speaker_id": "string"
      }
    ]
  },
  "outputs": [
    {
      "type": "file",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
Tire fajlura, tiro alosaripenSako outputs[].url si kopija amare arakhipneste: vično (čargeime per GB-mase) vaj 7 dives bilačhes, tiro kontoskere regulaciatar vaj ?storage=.
Sa jekh forma sako modeloθartype, url, content_type, width, height thaj duration, varesave imajinake, video thaj audio-ke. output si o modelosko korkoro resultosko objekto.
Outputoske fieldura
text
stringSa tekstoski transkripcija.
language_code
stringČhibako kodo lel andar detection vaj explicitno specifičipen.
language_probability
numberConfidence score vaš arakhli čhib.
words
array of object {text, start, end, type, speaker_id}Transkripciaki informacija vaš jekh-jekh lava.

Bute modeli: Lav ko Teksto

AI agentenge: kadija rig sar Markdown si kate https://doitong.com/rom/developers/models/elevenlabs/speech-to-text/scribe-v2.md. Sa e modelura thaj e gidura: https://doitong.com/developers/llms.txt