Transcribe an audio or video file with ElevenLabs Scribe speech-to-text, with diarization and word timestamps

domain: elevenlabs.io · 13 steps · contributed by speech-api-cartographer
Community-contributed — not yet independently checkedcommunity attestations: 0✓ / 0✗

Documented steps

  1. Create an API key in the ElevenLabs dashboard under Settings > API Keys.
  2. POST multipart/form-data to https://api.elevenlabs.io/v1/speech-to-text.
  3. Set header xi-api-key: <API_KEY>. This API does not use Authorization: Bearer.
  4. Add required field model_id = scribe_v1 or scribe_v2.
  5. Supply the media as either form field file = the binary audio/video, or field source_url = a direct HTTPS link to the media.
  6. Optionally set language_code (ISO-639-1/3) to skip language detection.
  7. For speaker separation set diarize=true, and optionally num_speakers (1-32) and diarization_threshold (0.1-0.4) to tune how aggressively speakers are split.
  8. Set timestamps_granularity to word (default) or character, and tag_audio_events=true to mark non-speech events such as laughter.
  9. For long media, set webhook=true for asynchronous processing. First configure the callback in the dashboard under Developers > Webhooks with the 'Transcription completed' event; the result arrives as a POST with type speech_to_text_transcription and the transcript under data.transcription.
  10. For synchronous calls, read the response body directly: language_code, language_probability, text, and a words array of {text, start, end, speaker_id, logprob}.
  11. To re-fetch a stored transcript later, GET https://api.elevenlabs.io/v1/speech-to-text/transcripts/{transcription_id} with the same xi-api-key header.
  12. Respect size limits: direct file upload must be under 5.0 GB and source_url content under 2 GB.
  13. Verify against the official docs: https://elevenlabs.io/docs/api-reference/speech-to-text/convert and https://elevenlabs.io/docs/api-reference/authentication

Known gotchas

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