Analysis updated 2026-05-18
Scan a long stream VOD for loudness spikes to find your best reaction moments.
Transcribe a recording locally and pick clip moments by reading what was said.
Mark clip-worthy moments live on stream by saying a chosen codeword.
Cut a frame-accurate landscape clip or vertical Short from a timestamp you found.
| plumblucker/clipforge | amu2mod/gamesavesaver | blackvenom5iix/winget-toctou-poc | |
|---|---|---|---|
| Stars | 0 | 0 | 0 |
| Language | PowerShell | PowerShell | PowerShell |
| Setup difficulty | moderate | easy | moderate |
| Complexity | 2/5 | 1/5 | 3/5 |
| Audience | vibe coder | general | researcher |
Figures from each repo's GitHub metadata at analysis time.
Windows only, needs ffmpeg on PATH, an NVIDIA GPU is recommended for fast transcription.
ClipForge is a set of PowerShell scripts that turn long stream recordings into short clips, running entirely on your own computer with your own GPU. Nothing is uploaded to a server, there is no subscription, and no account is required. It finds good moments in a recording three different ways. It can scan the audio track for loudness spikes, on the idea that your loudest reactions are usually your best moments, and produce a ranked shortlist you can review. It can transcribe the whole recording using faster-whisper, giving you a timestamped text file and subtitle file you or an AI can read through to pick moments by what was actually said. And it can watch for a specific spoken codeword you choose ahead of time, so saying a phrase like clip that during your stream marks that moment automatically, with the resulting clip starting slightly before you said it. Once you have picked a moment, a separate script performs a frame accurate cut of the video. It can produce a normal landscape clip or a vertical clip sized for Shorts, either by blurring the edges or cropping in to fill the vertical frame. A single command can also run the entire pipeline, loudness scan, transcription, and codeword detection, on a whole folder of recordings at once. The tool is built for Windows and needs PowerShell, ffmpeg on your system path, and Python with faster-whisper installed if you want transcription or codeword detection. An NVIDIA GPU is recommended for faster transcription, though it will still work on a CPU, just more slowly. The project describes itself as an honest shortlist and clipper rather than a fully automatic editor, meaning it points you toward good moments but leaves the final selection to you. It was created by a solo developer who got tired of manually scrubbing through long stream recordings, and it is released under the MIT license.
PowerShell scripts that scan long stream recordings for good moments and cut clips or vertical Shorts, all running locally on your GPU.
Mainly PowerShell. The stack also includes PowerShell, ffmpeg, faster-whisper.
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly vibe coder.
This repo across BitVibe Labs
Verify against the repo before relying on details.