A lightning-fast, cost-effective speech-to-text skill leveraging Deepgram Nova-3 for highly accurate multi-language transcription.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install deepgram-asr
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install deepgram-asr using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Deepgram ASR (Nova-3)?
The Deepgram ASR skill is a high-performance audio transcription tool designed for the Openclaw Skills ecosystem. By utilizing the state-of-the-art Nova-3 model, it delivers sub-300ms latency and exceptional accuracy for over 50 languages at a competitive price point of $0.0043/min. This skill bridges the gap between raw audio data and actionable text, making it an essential component for developers building voice-enabled AI workflows.
Built with privacy and efficiency in mind, this Openclaw Skills integration communicates directly with Deepgram's API via HTTPS. It requires no heavy third-party libraries, relying only on standard system utilities like curl and python3, ensuring a lightweight footprint for any deployment environment.
Deepgram ASR (Nova-3) Use Cases
- Transcribing voice notes sent via Discord or WhatsApp integrations.
- Converting recorded meetings or interviews into searchable text files.
- Generating AI-powered summaries of long-form audio content.
- Automated language detection and speaker diarization for multi-party recordings.
- Integrating cost-effective cloud transcription into automated DevOps or productivity pipelines.
How Deepgram ASR (Nova-3) Works
- The skill identifies and reads a local audio file provided via CLI or a messaging platform integration.
- It initiates a secure POST request to the Deepgram API endpoint with specified parameters like model and language.
- The audio is processed by the Nova-3 engine, which returns a detailed JSON response.
- A lightweight Python script parses the JSON to extract the transcript or metadata.
- The final output is saved to a local file or returned to the user in the requested format.
Deepgram ASR (Nova-3) Setup
To get started with this addition to your Openclaw Skills library, follow these steps:
- Obtain an API key by signing up at the Deepgram Console.
- Set your environment variable:
export DEEPGRAM_API_KEY="your_api_key"
- Run a test transcription:
./scripts/transcribe.sh /path/to/audio.m4a
Deepgram ASR (Nova-3) Data Schema & Taxonomy
The skill organizes transcription data based on user-defined flags and standard defaults:
| Data Type | Format | Default Location |
|---|---|---|
| Standard Transcript | .txt | Same directory as input |
| Detailed Metadata | .json | Specified via --json flag |
| Formatted Text | Markdown/Paragraphs | Managed via --paragraphs |
It supports various input formats including WAV, MP3, MP4, M4A, OGG, FLAC, and WebM.
Deepgram ASR (Nova-3) Advanced Features
- Speaker Diarization: Use
--speakersto identify and separate different voices in a single recording. - Smart Paragraphing: Automatically format transcripts into readable sections using
--paragraphs. - AI Summarization: Generate concise summaries of audio content directly through the API using
--summarize. - Multi-Language Support: Force a specific language with
--language <code>or use--detect-languagefor automatic identification. - Custom Output Routing: Redirect results to specific file paths using the
--outflag for better workflow integration.
SKILL.md
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