A sophisticated AI speech-to-text tool offering real-time transcription, multi-speaker identification, and automated meeting summaries.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install voice-note-transcriber-cn
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 voice-note-transcriber-cn 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 Voice Note Transcriber?
Voice Note Transcriber is a powerful tool designed for the Openclaw Skills ecosystem that converts audio and video into high-accuracy text. It leverages industry-standard models like Whisper to handle over 50 languages, including complex mixed-language environments, ensuring professionals can document meetings, interviews, and lectures with minimal effort.
Beyond simple transcription, the tool integrates advanced audio processing to remove background noise and intelligent diarization to distinguish between different speakers. Whether you are working online or need the privacy of offline recognition, this skill provides a comprehensive suite for turning spoken word into actionable data.
Voice Note Transcriber Use Cases
- Real-time transcription of corporate meetings and automatic generation of minutes.
- Organizing journalistic interviews with precise speaker identification and labeling.
- Converting educational lectures into structured study notes and summaries.
- Quickly transcribing voice memos for personal task management and searchable archives.
- Extracting audio from video files to create transcripts for subtitles or documentation.
How Voice Note Transcriber Works
- The user uploads an audio or video file or activates the real-time transcription mode via a voice trigger.
- The skill performs optional audio preprocessing, including noise reduction and echo cancellation using ffmpeg.
- The core speech-to-text engine processes the audio data to generate text segments with precise timestamps.
- If enabled, the diarization module analyzes voice prints to distinguish and label multiple speakers throughout the recording.
- The AI analyzes the resulting transcript to extract key points, action items, and a structured summary.
- The final documentation is presented to the user with options to download the text or refine speaker names.
Voice Note Transcriber Setup
To get started with this skill in your Openclaw Skills environment, ensure you have the necessary dependencies installed:
# Install ffmpeg for audio processing
sudo apt update && sudo apt install ffmpeg
# Ensure whisper is available for transcription
pip install openai-whisper
Once dependencies are met, simply upload your audio file or use keywords like transcribe or identify to trigger the workflow.
Voice Note Transcriber Data Schema & Taxonomy
The skill organizes processed data into a structured format for easy retrieval and documentation:
| Component | Data Format | Description |
|---|---|---|
| Transcripts | Markdown / TXT | Full text with [00:00] timestamps and speaker labels. |
| Metadata | JSON | Recognition accuracy, duration, detected language, and file size. |
| Summaries | Markdown | Organized sections for key points, TODOs, and final decisions. |
| Audio Output | MP3 / WAV | Processed audio files after noise reduction or format conversion. |
Voice Note Transcriber Advanced Features
- Mixed-language recognition support (e.g., 70% Chinese, 30% English) within a single session.
- Voiceprint learning to remember and automatically name frequent speakers in recurring meetings.
- Full offline mode for high-security environments, ensuring data privacy by processing everything locally.
- Intelligent punctuation and semantic segmentation for natural-reading transcripts.
- Batch processing capabilities for handling multiple audio files simultaneously.
SKILL.md
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