kouhxp

kouhxp / yapsnap

Public

Snap any video URL or audio file into plaintext. No GPU. No cloud. One command.

34
1
89% credibility
Found May 21, 2026 at 76 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

yapsnap is a free tool that turns any video or audio into readable text. You give it a link to YouTube, TikTok, or other sites — or point it at a file on your computer — and it gives you back a plain text transcript. Everything runs on your own computer using a small speech-recognition brain that downloads once and works offline forever. No accounts, no API keys, no monthly fees.

How It Works

1
💡 You discover you need a transcript

You find a podcast, video, or audio clip you want to read instead of watch or listen to.

2
📦 You install the tool

A quick one-time setup installs yapsnap on your computer alongside a media tool called ffmpeg.

3
⚡ Your first run downloads the brain

The first time you use it, a speech-recognition brain downloads once to your computer (about the size of a music album) and stays there forever.

4
🎬 You point it at any video or audio

You give it a YouTube link, a TikTok video, an Instagram reel, or a file on your computer — it handles them all the same way.

5
You choose your format
📝
Plain text

One clean paragraph with all the spoken words in order

🕐
With timestamps

Each sentence labeled with its time in the video, like [01:23] Today we learned...

6
🔄 It works while you wait

The tool downloads the audio, converts it to text using your computer's processor, and saves everything to a folder on your desktop.

✅ You have your transcript

A text file appears with everything that was said, ready to read, search, or share — no internet needed after the first run.

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AI-Generated Review

What is yapsnap?

yapsnap is a Python command-line tool that transcribes video URLs and local audio files into plain text. Point it at a YouTube link, a TikTok video, or an MP3 on your desktop, and it outputs a readable transcript. The tool runs entirely on your CPU using the sherpa-onnx streaming model called Kroko, with no GPU required and no cloud API calls. It handles the full pipeline: yt-dlp fetches the media, ffmpeg decodes it, and the ASR model does the transcription.

Why is it gaining traction?

The pitch is simple: one command, zero setup cost after installation, and your audio never leaves your machine. Developers are drawn to the offline-first approach, especially anyone wary of feeding proprietary recordings through third-party transcription APIs. The 1.5x speedup option (pitch-preserved) lets you trade some accuracy for faster turnaround, which is useful for processing batches of meeting recordings or podcast episodes. Support for ten-plus languages via swap-in models on Hugging Face is another differentiator, though English is the default out of the box.

Who should use this?

- Researchers analyzing interview footage or focus group recordings who cannot upload sensitive content externally - Developers building pipelines around media archives and needing lightweight, auditable transcription without API key management - Podcasters and streamers who want quick timestamps on their episodes without paying per-minute fees

Verdict

yapsnap delivers a genuine "it just works" experience for the core use case, and the technical stack is solid. However, with 34 stars and a credibility score of 0.9%, it remains a hobbyist project with limited battle-testing. The documentation is thorough, but there is no visible test suite, so production use carries some risk. Try it for personal projects or side work; hold off on mission-critical pipelines until the project gains more community traction.

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