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rain0993/videoediting

Analysis updated 2026-05-18

15PythonAudience · vibe coderComplexity · 3/5Setup · moderate

TLDR

video-use lets an AI coding agent edit raw video footage into a finished cut by reading a transcript and following plain-language instructions instead of using a traditional editor.

Mindmap

mindmap
  root((video-use))
    What it does
      AI edits raw footage
      Cuts filler words
      Adds subtitles
    Tech stack
      Python
      ffmpeg
      ElevenLabs Scribe
    Use cases
      Talking head videos
      Tutorials
      Interviews
    Audience
      Vibe coders
      Agent users
    How it works
      Text transcript first
      Visual composite on demand
      Self-eval loop

Code map

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What do people build with it?

USE CASE 1

Turn a folder of raw talking-head or interview footage into a cleaned-up final video with an AI agent.

USE CASE 2

Automatically remove filler words, dead space, and add subtitles without manual timeline editing.

USE CASE 3

Generate animated overlays for a video using existing tools like Remotion or Manim, coordinated by the agent.

USE CASE 4

Resume an editing project across sessions using the tool's persisted memory file.

What is it built with?

PythonffmpegElevenLabs ScribeRemotionManim

How does it compare?

rain0993/videoediting13127905/deep-learning-based-air-gesture-text-recognition-6xvl/paralives-plugins-index
Stars151515
LanguagePythonPythonPython
Setup difficultymoderatemoderateeasy
Complexity3/53/52/5
Audiencevibe coderdevelopergeneral

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires ffmpeg installed and an ElevenLabs API key for transcription before it can process footage.

The README does not state a license.

In plain English

video-use is a tool that lets you edit raw video footage by working with an AI coding agent such as Claude Code, Codex, or similar tools that can run shell commands. Instead of using a traditional video editor with menus and presets, you drop your raw footage into a folder, describe in plain language what you want the final video to look like, and the agent produces a finished file named final.mp4. The tool handles several editing tasks automatically: it cuts out filler words like umm and uh along with dead space between takes, applies color grading to each clip, adds short audio fades at cut points to avoid pops, and burns in subtitles in a default two word uppercase style that can be customized. It can also generate animated overlays using several external tools, run in parallel so multiple animations are created at once. Under the hood, the agent does not watch the video directly. Instead, it reads a text transcript with word level timestamps and speaker labels generated by the ElevenLabs Scribe transcription service, which keeps the amount of data the AI needs to process small compared to processing every video frame. For decisions that need visual context, such as ambiguous pauses or comparing retakes, it generates a still image combining a filmstrip, waveform, and word labels for that section instead of full video frames. Setup requires cloning the repository, installing ffmpeg, and providing an ElevenLabs API key for transcription. The project is designed to be installed as a skill inside a compatible AI agent, and it keeps a memory file so a later editing session can continue where a previous one left off. Before producing a final video, the tool automatically checks its own output at each cut point and will fix and re render up to a few times if it finds problems like visual jumps or audio glitches. The README does not state a license.

Copy-paste prompts

Prompt 1
Set up video-use for me: install ffmpeg, register the skill, and get my ElevenLabs API key ready.
Prompt 2
Edit the footage in this folder into a two minute launch video with subtitles.
Prompt 3
Explain how video-use decides where to cut based on the transcript instead of watching the video.
Prompt 4
Show me how to customize the subtitle style and color grading defaults in video-use.
Prompt 5
Walk me through the self-evaluation loop that checks the rendered output before showing it to me.

Frequently asked questions

What is videoediting?

video-use lets an AI coding agent edit raw video footage into a finished cut by reading a transcript and following plain-language instructions instead of using a traditional editor.

What language is videoediting written in?

Mainly Python. The stack also includes Python, ffmpeg, ElevenLabs Scribe.

What license does videoediting use?

The README does not state a license.

How hard is videoediting to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is videoediting for?

Mainly vibe coder.

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