Skill flagged — review recommended

ClawHub Security found sensitive or high-impact capabilities. Review the scan results before using.

Elevenlabs Transcribe

v1.0.1

Transcribe audio to text using ElevenLabs Scribe. Supports batch transcription, realtime streaming from URLs, microphone input, and local files.

2· 2.6k· 2 versions· 2 current· 3 all-time· Updated 1h ago· MIT-0

Install

openclaw skills install elevenlabs-transcribe

ElevenLabs Speech-to-Text

Official ElevenLabs skill for speech-to-text transcription.

Convert audio to text with state-of-the-art accuracy. Supports 90+ languages, speaker diarization, and realtime streaming.

Prerequisites

  • ffmpeg installed (brew install ffmpeg on macOS)
  • ELEVENLABS_API_KEY environment variable set
  • Python 3.8+ (dependencies auto-install on first run)

Usage

{baseDir}/scripts/transcribe.sh <audio_file> [options]
{baseDir}/scripts/transcribe.sh --url <stream_url> [options]
{baseDir}/scripts/transcribe.sh --mic [options]

Examples

Batch Transcription

Transcribe a local audio file:

{baseDir}/scripts/transcribe.sh recording.mp3

With speaker identification:

{baseDir}/scripts/transcribe.sh meeting.mp3 --diarize

Get full JSON response with timestamps:

{baseDir}/scripts/transcribe.sh interview.wav --diarize --json

Realtime Streaming

Stream from a URL (e.g., live radio, podcast):

{baseDir}/scripts/transcribe.sh --url https://npr-ice.streamguys1.com/live.mp3

Transcribe from microphone:

{baseDir}/scripts/transcribe.sh --mic

Stream a local file in realtime (useful for testing):

{baseDir}/scripts/transcribe.sh audio.mp3 --realtime

Quiet Mode for Agents

Suppress status messages on stderr:

{baseDir}/scripts/transcribe.sh --mic --quiet

Options

OptionDescription
--diarizeIdentify different speakers in the audio
--lang CODEISO language hint (e.g., en, pt, es, fr)
--jsonOutput full JSON with timestamps and metadata
--eventsTag audio events (laughter, music, applause)
--realtimeStream local file instead of batch processing
--partialsShow interim transcripts during realtime mode
-q, --quietSuppress status messages (recommended for agents)

Output Format

Text Mode (default)

Plain text transcription:

The quick brown fox jumps over the lazy dog.

JSON Mode (--json)

{
  "text": "The quick brown fox jumps over the lazy dog.",
  "language_code": "eng",
  "language_probability": 0.98,
  "words": [
    {"text": "The", "start": 0.0, "end": 0.15, "type": "word", "speaker_id": "speaker_0"}
  ]
}

Realtime Mode

Final transcripts print as they're committed. With --partials:

[partial] The quick
[partial] The quick brown fox
The quick brown fox jumps over the lazy dog.

Supported Formats

Audio: MP3, WAV, M4A, FLAC, OGG, WebM, AAC, AIFF, Opus Video: MP4, AVI, MKV, MOV, WMV, FLV, WebM, MPEG, 3GPP

Limits: Up to 3GB file size, 10 hours duration

Error Handling

The script exits with non-zero status on errors:

  • Missing API key: Set ELEVENLABS_API_KEY environment variable
  • File not found: Check the file path exists
  • Missing ffmpeg: Install with your package manager
  • API errors: Check API key validity and rate limits

When to Use Each Mode

ScenarioCommand
Transcribe a recording./transcribe.sh file.mp3
Meeting with multiple speakers./transcribe.sh meeting.mp3 --diarize
Live radio/podcast stream./transcribe.sh --url <url>
Voice input from user./transcribe.sh --mic --quiet
Need word timestamps./transcribe.sh file.mp3 --json

Version tags

latestvk974g0tvkwspjd8zrrxg94dqpn80exh8

Runtime requirements

🎙️ Clawdis
Binsffmpeg, python3
EnvELEVENLABS_API_KEY
Primary envELEVENLABS_API_KEY