AI 工具AI TOOLS· IMAGE-VIDEO

AI-Youtube-Shorts-Generator

Anil-matcha/AI-Youtube-Shorts-Generator

Open-source alternative to Opus Clip, Vidyo.ai, Klap & SubMagic. Turn long-form YouTube videos into viral 9:16 shorts using LLM highlight detection, Whisper transcription, and auto vertical cropping — free, no watermarks, no per-clip credits.

根据公开文档整理，未运行实测；费用以项目官网为准。Based on public documentation, without runtime testing. Check the project site for pricing.

适用平台Platforms: claude-code
已识别的要求Documented requirements: API key · Local runtime
许可LICENSE: MIT

打开仓库Open repository 官网Homepage

能力CAPABILITIES

它能帮你做成什么What it helps you do

上手GET STARTED

怎么装How to install

GIT-CLONE

git clone https://github.com/SamurAIGPT/AI-Youtube-Shorts-Generator.git

选择与你的环境对应的方式。命令来自项目文档，未运行实测。Choose the option for your environment. Commands come from project documentation and have not been run-tested.

打开项目文档Open project documentation ↗

使用限制LIMITATIONS

限制与风险Limits and risk

以下要求与风险来自文档静态检查，未执行项目代码；扫描没有命中，不代表使用安全。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.

限制LIMITS

未知Unknown

01需要 API KeyREQUIRES API KEY: 是Yes
02需要本地环境NEEDS LOCAL RUNTIME: 是Yes
03需要 DockerNEEDS DOCKER: 未在文档中发现Not found in the docs
04难度DIFFICULTY: 需要开发经验Needs development work

项目动态PROJECT ACTIVITY

它现在处在什么位置Where it stands right now

首次发现FIRST SEEN

11 OCT 202611 OCT 2026

状态STATUS

持续活跃Active

PROVENANCE · 这些结论的依据是什么Where these conclusions come from

来源 URLSource URL: https://github.com/Anil-matcha/AI-Youtube-Shorts-Generator
原始数据哈希Raw data hash: 549ce2fa1df7b26ae66c0b615ec1d57a
解析时间Parsed at: 2026-10-11T23:32:39.209Z
最后一次验证Last verified: 2026-10-11T22:11:29.227Z
增长测量时间Growth measured: —
发现查询Discovery queries: focus:play:repo:video-editing
分类来源Category source: rules
焦点Focus: play (5)

完整解析证据 JSONFull parse evidence JSON

{
  "agents": [
    {
      "agent": "claude-code",
      "evidence": "tree: .claude/"
    }
  ],
  "apiKey": "our PATH and an LLM API key (`OPENAI_API_KEY` or `GEMINI_API_KEY`; only the LLM step",
  "docker": null,
  "taxonomy": {
    "scores": {
      "design": 0,
      "ai-tools": 10,
      "dev-tools": 0,
      "indie-web": 0,
      "skill-agent": 0,
      "productivity": 0
    },
    "primary": "ai-tools",
    "secondary": "image-video"
  },
  "localRuntime": "cal (`faster-whisper`, CPU or CUDA) — same downstream output shape - **🧩",
  "skillMdTotal": 1,
  "skillMdErrors": [],
  "treeTruncated": false,
  "categoryScores": {
    "data": 0,
    "agent": 0,
    "media": 5,
    "design": 0,
    "browser": 0,
    "devtool": 0,
    "security": 0,
    "marketing": 0,
    "productivity": 0
  },
  "classification": [
    {
      "signal": "1 SKILL.md with name + description",
      "weight": 0.95
    },
    {
      "signal": "skills/ directory with 1 markdown files",
      "weight": 0.75
    },
    {
      "signal": "description mentions AI",
      "weight": 0.2
    }
  ],
  "scannedSources": [
    "readme",
    ".claude/skills/youtube-shorts-generator/SKILL.md"
  ],
  "skillMdFetched": 1
}