jun7799

jun7799 / scribe-transcribe

Public

微信视频号下载 + 音视频转写工具 | Python CLI + Go

16
12
69% credibility
Found May 18, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Scribe Transcribe is a personal tool that helps you download videos from WeChat Video Channels and automatically convert the spoken content into written text. You connect your phone through your computer using a simple network setting, and the tool adds download buttons to videos you watch. Once downloaded, the tool can transcribe the audio locally on your computer using AI, producing subtitle files and plain text documents. Everything runs on your own machine—no cloud services or subscriptions required.

How It Works

1
📱 You want to save a video from WeChat

You watched a great video on WeChat Video Channels and wish you could save it for later reference or transcription.

2
💻 You set up the download tool on your computer

You install the tool and run a simple startup script that prepares everything to intercept videos from your phone.

3
🔄 You connect your phone through your computer

With a simple WiFi setting on your phone, all WeChat traffic flows through your computer, letting the tool add a download button to videos.

4
⬇️ You tap download on any video

A download button appears on videos you view in WeChat, and tapping it saves the video to your computer automatically.

5
Choose what to do with your video
📹
Keep the video as-is

Just save the video file to your computer for later viewing

📝
Turn it into text

The tool listens to your video and writes down everything that's said

6
🎤 Watch as your video becomes text

The tool extracts the audio and converts speech to written words on your own computer, no internet needed.

✅ You get your transcript

Your video is now available as a subtitle file and a plain text document, ready to read, search, or share.

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AI-Generated Review

What is scribe-transcribe?

This is a command-line tool that downloads videos from WeChat Channels and automatically transcribes them into text. The Python-based CLI manages a Go proxy service running locally on your machine, which intercepts video traffic when you configure your phone to route through it. Once videos are downloaded, the tool extracts the audio track using ffmpeg and runs it through faster-whisper for local speech-to-text conversion. You get back SRT subtitle files and plain text transcripts. The workflow supports both on-demand transcription of local files and a continuous serve mode that watches for new downloads and processes them automatically.

Why is it gaining traction?

The combination of WeChat video downloading and local transcription in a single workflow addresses a real pain point for content creators and researchers who need to work with Chinese video content. Unlike cloud-based transcription services, everything runs locally on your hardware using the small whisper model with int8 quantization, which keeps data private and avoids recurring API costs. The MITM proxy approach is clever because it requires no modifications to WeChat itself -- the download button gets injected directly into the app interface on your phone.

Who should use this?

Content creators working with WeChat video content who need transcripts for captions, translations, or searchable archives. Researchers collecting Chinese-language video data for analysis. Developers comfortable with command-line tools who want to extract and process WeChat video content offline. This is not a point-and-click solution -- you need to handle Go compilation, proxy configuration on mobile devices, and dependency installation.

Verdict

This is a functional but early-stage project with 16 stars and minimal community validation. The architecture is sound and the core workflow works, but the setup complexity (Go compilation, mobile proxy configuration) limits its audience. The 0.699999988079071% credibility score reflects this niche appeal and limited adoption. If you specifically need WeChat video transcription and can work through the setup steps, the tool delivers what it promises. For general video transcription needs, established alternatives with better documentation and one-click installers would be safer choices.

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