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--- 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: ```bash echo "YOUR_DEEPGRAM_API_KEY" > ~/.openclaw/secrets/deepgram-api-key.txt ``` Or set the environment variable: ```bash export DEEPGRAM_API_KEY="your-key-here" ``` ## Usage ```bash 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).--- 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: ```bash echo "YOUR_DEEPGRAM_API_KEY" > ~/.openclaw/secrets/deepgram-api-key.txt ``` Or set the environment variable: ```bash export DEEPGRAM_API_KEY="your-key-here" ``` ## Usage ```bash 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).
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Includes source scripts; review them before use. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.