A powerful batch video transcription tool supporting over 1000 websites with GPU-accelerated speech-to-text and structured note generation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-batch-transcript
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 video-batch-transcript 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 Video Batch Transcript?
The Video Batch Transcript skill is a high-performance utility designed to automate the extraction and transcription of video content from a vast array of online platforms. By combining the versatility of yt-dlp with the speed of faster-whisper and CUDA optimization, it allows users to convert entire playlists, channels, or single videos into structured Markdown notes. This Openclaw Skills tool is particularly effective for developers and researchers who need to process large volumes of audiovisual data into searchable, text-based knowledge assets.
Beyond simple transcription, the skill incorporates professional terminology correction and multi-format export capabilities. Whether you are archiving educational content from Bilibili or synthesizing insights from YouTube tutorials, this Openclaw Skills integration provides a robust, local-first workflow for technical content consumption.
Video Batch Transcript Use Cases
- Transcribing massive YouTube playlists or Bilibili collections into structured Markdown for personal knowledge management.
- Extracting audio and text from 1000+ supported video platforms for data analysis and research.
- Generating high-quality meeting summaries or lecture notes from recorded streams using GPU acceleration.
- Bypassing content restrictions via browser cookie integration to transcribe content from subscription-based streaming services.
How Video Batch Transcript Works
- The user inputs a target URL which can be a single video, a collection, a playlist, or an entire channel.
- The Openclaw Skills engine uses yt-dlp to fetch metadata and download the best available audio or video format.
- The downloaded audio is processed through faster-whisper with optional GPU acceleration for speeds 4-6x faster than standard models.
- Text is post-processed to correct terminology and organized into structured notes including summaries and timestamps.
- The final output is exported to the local workspace in specified formats like .md, .txt, or .docx.
Video Batch Transcript Setup
Navigate to the skill directory and install the necessary dependencies to get started with this Openclaw Skills package:
cd /root/.openclaw/workspace/skills/video-batch-transcript
pip install -r requirements.txt
python scripts/check_env.py
To run a basic transcription for a YouTube video:
python scripts/batch_transcript.py --url "VIDEO_URL" --output-dir "~/video-notes"
Video Batch Transcript Data Schema & Taxonomy
The skill organizes output into a hierarchical folder structure based on the collection or channel name:
| Item | Type | Description |
|---|---|---|
audio.mp3 |
File | The source audio extracted for processing. |
transcript.txt |
File | The raw text output from the AI model. |
notes.md |
File | The final structured notes with metadata. |
metadata.json |
File | JSON data containing source URL and video details. |
collection_summary.md |
File | A synthesized summary of all videos in a batch run. |
Video Batch Transcript Advanced Features
- Parallel processing support allowing multiple workers to handle video batches simultaneously.
- Native integration with browser cookies (Chrome, Firefox, Safari, Edge) to access restricted or private content.
- Flexible Whisper model selection (tiny to large) to balance transcription accuracy with available GPU memory.
- Automatic resume functionality to ensure large batch jobs continue from where they left off after an interruption.
- Customizable terminology dictionaries to ensure technical jargon is transcribed correctly by the Openclaw Skills workflow.
SKILL.md
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