GitHub 上的新仓库 JuneYaooo/rea-video，创建 11 天，已有 5470 星（平均每天 483 星）。
Reverse-engineer any video, shot by shot: filmed, AI-generated or coded, and how to remake it. 逆向一切视频，逐个镜头看是拍的、AI 生成的还是代码做的，再告诉你怎么复刻。
主题：agent-skills, ai-video, aigc-detection, claude-code, codex, ffmpeg, prompt-engineering, remotion, reverse-engineering, short-video, shot-detection, subtitles, video-analysis, video-breakdown, video-editing, video-generation, vlm
语言：Python
README：
Reverse-engineer any video.
Shot by shot: was it filmed, AI-generated or coded, and how to remake it.
Website | 中文 | English | Русский | 日本語 | 한국어 | Español | Português | Français | Deutsch
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Left: a TikTok ad shot on a phone. Right: an AI remake with another product. rea-video's verdict: the left is all live footage, one set and two camera positions; the right is all AI, 8 shots across 3 generations.
Quick start
rea-video is built for AI agents. In Claude Code, Codex or any agent that can run commands, say:
Install https://github.com/JuneYaooo/rea-video, then break down this video: /path/to/video.mp4
The agent installs the CLI, learns the workflow and runs the whole thing. You need ffmpeg and Python 3.10+.
Install by hand
brew install ffmpeg # or: sudo apt install ffmpeg
git clone https://github.com/JuneYaooo/rea-video && cd rea-video
bash scripts/install_skill.sh # installs the CLI (pip, or pipx / a local .venv if pip is blocked) and links the skill into ~/.claude, ~/.codex, ~/.agents
rea-video --help
You get:
- a one-line summary, e.g. "41% AI video + 59% code UI, 8 s of real screen recording, library music at 122 BPM"
- a remake plan, split into what to film, what to generate and what to code
- a full
report.html with per-shot frames, evidence, prompts, camera and lighting notes, and the audio breakdown
You can also hook up a video-capable model (Gemini or Doubao both work) by giving the agent its endpoint and key. That makes the live/AI/3D calls more accurate and adds a reverse-engineered prompt for every shot. It works fine without one; if your agent can see images, it checks the uncertain shots itself.
Reports are written in whichever language you ask in (Chinese or English). The example reports below are in English.
What it can break down
| Video type |
Examples |
What you get |
| Live footage |
Talking-head, tabletop, handheld product demo, vlog, store visit |
Setups and camera positions, framing, camera moves, lighting (12 setups with gear lists), color grade |
| AI video |
Text/image-to-video, AI short drama, AI music video |
Evidence, a reverse-engineered prompt per shot, how to batch into generations and which model to use |
| Avatar |
A portrait driven by audio, lip-sync |
Which shots are avatar shots, what portrait and audio you need |
| 3D / animation |
Blender / C4D explainers, product animation, 2D animation, stop-motion |
Whether to generate with a video model or render from 3D code |
| Code / template |
Kinetic type, UI demos, charts, slide-style cards |
Text, layout and motion timing, ready to rebuild as a Remotion project |
| Screen recording |
Software tutorials, web demos |
Which parts are real material you'll need to record yourself |
| Mixed / edits |
AI characters + code UI + real screen capture; live footage with AI edits |
Each shot judged separately, then reassembled on the original timeline |
Besides how the visuals were made, every breakdown also covers:
- Captions and styled text: start and end of each line (exports to SRT / ASS), plus color, outline and how the text comes in
- Stickers, emoji, picture-in-picture: where they sit and how long they stay
- Editing: where the cuts are, how fast, whether they hit the beat
- Audio: human or AI voice, AI or library music and its BPM, where each sound effect lands
- Material you'll need to supply yourself: screen recordings, screenshots, product photos
Examples
The sample videos in docs/cases/videos/ are re-compressed to keep the repo small, which strips the TikTok / Douyin platform tags. So if you run them yourself, you'll get different results from the reports below, especially without a vision model. To reproduce them, use the original downloads from the platform.
Mixed-media clip · 19 s · 10 shots
AI characters talking + code-built UI + 8 s of real screen recording. The 5 dialogue shots are broken up by UI segments but share one set, so a single generation covers all of them.
Video · Report
3D explainer ·
The original belongs to GitHub 爆发仓库 and its authors and is reproduced here for reading. To have it removed, write to support@aisa.one.
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