High-speed audio transcription leveraging Groq specialized ASR models via a streamlined curl interface.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install groq-whisper-api
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 groq-whisper-api 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 Groq Whisper API?
The Groq Whisper API skill provides a high-performance interface for transcribing audio files using the Groq inference engine. By utilizing the OpenAI-compatible audio transcriptions endpoint, this skill allows developers to convert speech to text with extreme speed and accuracy, supporting cutting-edge models like whisper-large-v3-turbo. Integrating this into your automated workflow through Openclaw Skills ensures low-latency processing and easy CLI-based integration for various audio formats.
Groq Whisper API Use Cases
- Transcribing meeting recordings or voice memos into plain text files for documentation.
- Batch processing audio archives for search indexing and data analysis.
- Generating initial transcripts for content creators and video subtitlers.
- Incorporating fast speech-to-text capabilities into larger AI agent pipelines using Openclaw Skills.
How Groq Whisper API Works
- The user provides a path to a supported audio file (e.g., .m4a, .ogg, .mp3) to the transcription script.
- The system verifies the presence of the GROQ_API_KEY and the curl binary.
- A request is sent to the Groq /openai/v1/audio/transcriptions endpoint with specified model parameters.
- The Groq API processes the audio using hardware-accelerated Whisper models.
- The transcript is returned and saved locally as a text or JSON file, depending on user flags.
Groq Whisper API Setup
To get started with this skill, ensure you have a valid Groq API key and curl installed on your system. You can set your API key as an environment variable or within your global configuration for Openclaw Skills.
export GROQ_API_KEY='your_api_key_here'
Alternatively, configure it in your configuration file:
{
"skills": {
"groq-whisper-api": {
"apiKey": "GROQ_KEY_HERE"
}
}
}
Groq Whisper API Data Schema & Taxonomy
The skill manages audio input and text-based output. It follows a predictable schema for file generation and metadata handling within Openclaw Skills.
| Feature | Details |
|---|---|
| Input Formats | .m4a, .mp3, .ogg, .wav, .webm |
| Output Formats | .txt (default), .json |
| Default Model | whisper-large-v3-turbo |
| Config Path | ~/.openclaw/openclaw.json |
Groq Whisper API Advanced Features
- Custom Model Selection: Toggle between whisper-large-v3-turbo and whisper-large-v3 for varying accuracy needs.
- Prompting: Use the --prompt flag to provide context, such as specific speaker names or technical jargon.
- Multi-Language Support: Force a specific source language using the --language flag to improve ASR precision.
- Structured Output: Generate JSON files for deep integration with other Openclaw Skills and automated data pipelines.
SKILL.md
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