Deepgram Transcribe
/install deepgram-transcribe
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).
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install deepgram-transcribe - 安装完成后,直接呼叫该 Skill 的名称或使用
/deepgram-transcribe触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Deepgram Transcribe 是什么?
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... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 423 次。
如何安装 Deepgram Transcribe?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install deepgram-transcribe」即可一键安装,无需额外配置。
Deepgram Transcribe 是免费的吗?
是的,Deepgram Transcribe 完全免费(开源免费),可自由下载、安装和使用。
Deepgram Transcribe 支持哪些平台?
Deepgram Transcribe 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Deepgram Transcribe?
由 Jesse Wunderlich(@jessewunderlich)开发并维护,当前版本 v1.0.0。