An AI-powered audio processing tool that provides cloud-based transcription, speaker diarization, and structured content summarization.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tinrec-audio2text
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 tinrec-audio2text 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 tinrec-audio2text?
tinrec-audio2text is a comprehensive audio intelligence tool designed to transform raw audio files into actionable text and insights. By leveraging the tinrec cloud API, it supports various formats like mp3, wav, and m4a, delivering not just plain text but a structured breakdown of the recording. This skill is a vital addition to the ecosystem of Openclaw Skills for users who need to process meetings, interviews, or lectures.
Beyond basic transcription, the tool utilizes AI to generate high-level summaries, identify key recording points, and distinguish between different speakers. This makes it particularly effective for professional environments where capturing the nuance of a conversation and the specific contributions of participants is essential.
tinrec-audio2text Use Cases
- Transforming local voice recordings into full text transcripts or concise summaries.
- Generating meeting or interview minutes that include structured summaries and speaker identification.
- Creating actionable to-do lists and chapter breakdowns from recorded audio sessions.
- Processing local audio files when a user specifically requests transcription via the tinrec service.
- Extracting structured data like recommended follow-up actions from recorded discussions.
How tinrec-audio2text Works
- The user provides a local path to an audio file and an optional API key or key file.
- The skill uploads the audio file to the tinrec cloud API for processing.
- The system initiates transcription and AI analysis tasks simultaneously.
- The CLI polls the API to monitor the transcript_status and task_status.
- Once both statuses are complete, the skill retrieves the full transcript, AI summary, and speaker data.
- The final structured result is outputted to the user or passed to an AI for further parsing.
tinrec-audio2text Setup
To use this skill within the Openclaw Skills framework, you must first obtain an API key from https://tinrec.com/api-keys.
# Navigate to the script directory
cd script
# Run the transcription tool using a key file
python audio2text_cli.py /path/to/audio.mp3 --api-keys-file ./api-keys
# Alternatively, pass the API key directly
python audio2text_cli.py /path/to/audio.mp3 --api-key YOUR_API_KEY
tinrec-audio2text Data Schema & Taxonomy
The skill returns a structured response that can be outputted as JSON for automated processing. The schema includes the following primary components:
| Component | Description |
|---|---|
| summary | An AI-generated summary of the entire audio content. |
| chapters | Structural breakdown of the audio into logical sections. |
| todos | A list of identified tasks or action items from the recording. |
| transcripts | The full text transcription of the audio. |
| speaker_data | Identification of different speakers mapped to their specific lines. |
tinrec-audio2text Advanced Features
- Support for multiple audio formats including mp3, wav, and m4a.
- Asynchronous processing with the
--no-waitflag to return a task ID for later retrieval. - Customizable polling intervals and timeout settings for large file processing.
- Native JSON output mode specifically designed for seamless AI agent integration.
- Flexible authentication via direct API keys, environment variables, or dedicated key files.
SKILL.md
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