deepgram-transcribe

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Transcribe audio via Deepgram Nova-3 API (5.26% WER, 40x faster than Whisper, built-in speaker diarization). Use when user asks to transcribe audio, podcasts, meetings, voice recordings, or voice memos. Supports mp3, wav, m4a, ogg, flac, webm, aiff. Falls back to OpenAI Whisper skill if DEEPGRAM_API_KEY is not set.

modbender By modbender schedule Updated 3/6/2026

name: deepgram-transcribe description: Transcribe audio via Deepgram Nova-3 API (5.26% WER, 40x faster than Whisper, built-in speaker diarization). Use when user asks to transcribe audio, podcasts, meetings, voice recordings, or voice memos. Supports mp3, wav, m4a, ogg, flac, webm, aiff. Falls back to OpenAI Whisper skill if DEEPGRAM_API_KEY is not set.

Deepgram Nova-3 Transcription

Transcribe audio files using Deepgram's Nova-3 model — more accurate and faster than OpenAI Whisper.

Why Deepgram over Whisper

  • 5.26% word error rate (vs ~8-10% for Whisper)
  • 40x faster for batch processing
  • Built-in speaker diarization (who said what)
  • Smart formatting (numbers, dates, punctuation)
  • $200 free credits on signup at deepgram.com

Setup

Store your API key:

echo "YOUR_DEEPGRAM_API_KEY" > ~/.openclaw/secrets/deepgram-api-key.txt

Or set the environment variable:

export DEEPGRAM_API_KEY="your-key-here"

Usage

bash scripts/transcribe.sh /path/to/audio.mp3
bash scripts/transcribe.sh recording.mp3 --out transcript.txt
bash scripts/transcribe.sh recording.mp3 --json --out full.json
bash scripts/transcribe.sh recording.mp3 --language es
bash scripts/transcribe.sh recording.mp3 --model nova-2

Models

Model WER Cost/min Best for
nova-3 (default) 5.26% $0.0077 Best accuracy
nova-2 ~8% $0.0043 Budget-friendly
whisper-large ~8-10% $0.0048 Whisper parity

Supported Formats

mp3, wav, m4a, ogg, flac, webm, aiff

Fallback

If DEEPGRAM_API_KEY is not set, use the OpenAI Whisper skill instead (if installed).

Install via CLI
npx skills add https://github.com/modbender/skill-library-mcp --skill deepgram-transcribe
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