head to head · open source

humanizer vs rea-video

humanizer has 67,499 GitHub stars, 5,303 forks, 13 open issues and last shipped yesterday. rea-video has 6,262 stars, 895 forks, 4 open issues and last shipped yesterday. humanizer leads on adoption by 978% (67,499 vs 6,262 stars). humanizer is written in Python under MIT; rea-video is written in Python under Apache-2.0. humanizer has attracted 8% as many forks as stars, rea-video 14%. rea-video was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 4 topic tags (agent-skills, claude-code, codex, prompt-engineering), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

humanizer ★ 67K rea-video ★ 6.3K category AI & Machine Learning

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Side by side

humanizer rea-video
GitHub stars ★ 67K ★ 6.3K
License MIT Apache-2.0
Written in Python Python
Last push 2026-11-10 2026-11-10
Forks ⑂ 5.3K ⑂ 895
Self-hosting Yes Yes
Data ownership Your server Your server

pick humanizer if

  • You weight community size — 67K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full humanizer profile →

pick rea-video if

  • You want the rea-video feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and rea-video fits your workflow better

full rea-video profile →

About humanizer

Humanizer Humanizer rewrites AI sounding text so it reads like a person wrote it, without changing what it says. Because it is just Markdown, it works with any agent that supports skills. Installation Install Humanizer with the Skills CLI: Leave off global to install Humanizer only in the current project. Add agent or agent ' ' to choose which agents receive it, then reload their skills. The skill answers to /humanizer . Claude Code 2.1.142 or newer can install the plugin instead: The plugin answers to /humanizer:humanizer . In Claude Desktop, download this repository as a ZIP and upload it as a skill. For a…

read the full humanizer overview →

About rea-video

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 ⭐ Help more people find rea video. Star this repo! 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: The agent installs the CLI, learns the workflow and runs the whole thing…

read the full rea-video overview →

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Frequently asked questions

Is humanizer or rea-video more popular?

humanizer has 67,499 GitHub stars and rea-video has 6,262. humanizer has the larger community by that measure.

Are humanizer and rea-video free?

Both are open source. humanizer is licensed under MIT and rea-video under Apache-2.0. Neither carries a licence fee.

What is the difference between humanizer and rea-video?

humanizer is written in Python and rea-video in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, humanizer or rea-video?

Choose humanizer if you want the larger community (67,499 stars) or its MIT licence terms. Choose rea-video if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.