Douyin Transcribe - Video Transcription Suite

A complete solution for transcribing Douyin (抖音/TikTok China) videos. Extracts audio, transcribes speech to text, and generates structured summaries.

Version History

Architecture

\
User Input (Douyin Link/File) │ ▼ ┌─────────────────────────────────────────┐ │ Workflow Orchestrator │ ├─────────────────────────────────────────┤ │ Step 1: Fetcher → Get video file │ │ Step 2: Transcriber → Extract & convert│ │ Step 3: Analyzer → Structure output │ │ Step 4: Output → Save results │ └─────────────────────────────────────────┘ \\

Core Features

• Video Fetching: Browser-based DOM extraction for CDN URLs
• Audio Extraction: ffmpeg-powered audio conversion
• Speech-to-Text: Whisper ASR with multiple model options
• Content Analysis: Auto-structured transcripts with key points
• Multi-format Support: Video links, local files, image notes

Prerequisites

Docker Whisper (Recommended): \\ash docker run -d -p 9000:9000 --name whisper-asr onerahmet/openai-whisper-asr-webservice:latest \\

Workflow

Step 0: Input Classification

Step 1: Fetch Video

1.1 Resolve Short URL

\\ash

Windows PowerShell

curl.exe -sL -o NUL -w "%{url_effective}" "https://v.douyin.com/xxx/"

macOS/Linux

curl -sL -o /dev/null -w '%{url_effective}' "https://v.douyin.com/xxx/" \\

Output: \https://www.douyin.com/video/7616020798351871284\

1.2 Open Video Page

\
browser(action='open', profile='openclaw', url='https://www.douyin.com/video/{VIDEO_ID}') \\

Wait 10-15 seconds for page to load completely.

1.3 Extract Video URL (Browser DOM Method)

\\javascript browser(action='act', targetId='PAGE_ID', request={ "kind": "evaluate", "fn": "(() => { const entries = performance.getEntriesByType('resource'); const videoEntries = entries.filter(e => { const name = e.name.toLowerCase(); return name.includes('douyinvod') && (name.includes('.mp4') || name.includes('video')); }); if (videoEntries.length > 0) { const video = videoEntries[videoEntries.length - 1]; return { url: video.name, type: video.name.includes('.mp4') ? 'mp4' : 'dash' }; } return null; })()" }) \\

Important Notes:

• \ct\ action requires nested
  equest\ object with \kind\ and \n\
• Wrong: \rowser(action='act', fn='...')\
• Correct: \rowser(action='act', request={"kind": "evaluate", "fn": "..."})\

1.4 Download Video

\\ash curl.exe -L -H "Referer: https://www.douyin.com/" -o video.mp4 "<CDN_URL>" \\

Referer header is required, otherwise 403.

Step 2: Transcribe Audio

2.1 Extract Audio

\\ash

For MP4 videos

ffmpeg -i video.mp4 -ar 16000 -ac 1 -c:a pcm_s16le audio.wav -y

For DASH videos (need merge)

ffmpeg -i video.mp4 -i audio.mp4 -c copy merged.mp4 -y ffmpeg -i merged.mp4 -ar 16000 -ac 1 -c:a pcm_s16le audio.wav -y \\

Parameters:

• -ar 16000: 16kHz sample rate (Whisper requirement)
• -ac 1: Mono channel
• -c:a pcm_s16le: 16-bit PCM

2.2 Transcribe with Docker Whisper

\\ash curl.exe -X POST "http://localhost:PORT/asr" -F "audio_file=@audio.wav" \\

2.3 Alternative: Local Whisper

\\ash python -m whisper audio.wav --model small --language zh \\

Model Selection:

Step 3: Analyze Content

Agent processes transcript and generates:

1. Fix transcription errors

   • Correct homophones
   • Fix speaker names
   • Remove filler words

2. Structure content

   • Add paragraph breaks
   • Create sections

3. Extract key points

   • Main ideas
   • Important quotes

4. Generate tags

   • 3-5 topic tags

Step 4: Save Output

Transcript Format

\\markdown

{Title}

作者: {Author} 来源: 抖音 日期: {Date} 转录时间: {Transcription Date}

摘要

{Summary}

正文

{Transcript content with paragraphs}

要点

• {Key point 1}
• {Key point 2}
• {Key point 3}

标签

#{tag1} #{tag2} #{tag3} \\

File Naming Convention

\
{VIDEO_ID}-抖音转录.md \\

Troubleshooting

Image Note Handling

Image notes (/note/) don't need transcription:

\\

1. browser(action='open', profile='openclaw', url='IMAGE_NOTE_URL')
2. browser(action='snapshot')
3. Extract content from snapshot
4. Save to output directory \\

Edge Cases

• Article links (/article/): Use browser snapshot, no transcription
• Douyin AI summary: Extract from page as supplement
• Other platforms: Use yt-dlp for YouTube/Bilibili
• Live streams: Not supported

Related Modules

This skill can be extended with standalone modules:

License

MIT-0 License - Free to use, modify, and redistribute.