ElevenLabs Speech to Text

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What it does

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Key features

• Single audio_source param accepts r2:// conversation attachments or HTTPS URLs — auto-detected by prefix
• Scribe v2 (default) for best-in-class accuracy
• Word-level timestamps returned by default
• Speaker diarization (who spoke when) when diarize is on
• Audio event tagging — surfaces (laughter), (footsteps), etc. inline in the transcript
• Auto language detection, or pin a specific ISO-639 code

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Parameters

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Common use cases

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Transcribe a file already attached to the conversation

audio_source: "r2://aster-agents/org_xxx/threads/yyy/recording.mp3"

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Transcribe a public podcast or recording URL

audio_source: "https://example.com/episode-42.mp3"
language_code: "eng"

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Transcribe a meeting with multiple speakers

audio_source: "r2://aster-agents/org_xxx/threads/yyy/meeting.mp4"
diarize: true
num_speakers: 4

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Response

• text — the full transcript
• language_code / language_probability — detected language and confidence
• speaker_count — number of distinct speakers identified (when diarize is on)
• word_count — total words in the transcript
• words — per-word objects with text, start/end timestamps, and speaker_id
• source — a label describing which input path was used

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Setup