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magicrew/doc7

Turn documents into AI-ready Markdown with visual understanding

#Document parsing
Visit GitHub
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718
52
1 contributors
MIT License
AchievementsView all →
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How fast magicrew/doc7 is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Sep 12 – Nov 9, 2026

Stars +31 in 59 days

051015
13

Forks +2 in 59 days

01
1

Merged PRs 0 in 59 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Sep 12Sep 20Sep 28Oct 6Oct 14Oct 22Oct 30Nov 7
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Sat, Sep 12, 2026+2+00
Sun, Sep 13, 2026+0+00
Mon, Sep 14, 2026+1+00
Tue, Sep 15, 2026+0+00
Wed, Sep 16, 2026+1+00
Thu, Sep 17, 2026+0+00
Fri, Sep 18, 2026+0+00
Sat, Sep 19, 2026+0+00
Sun, Sep 20, 2026+4+00
Mon, Sep 21, 2026+4+00
Tue, Sep 22, 2026+1+00
Wed, Sep 23, 2026+0+00
Thu, Sep 24, 2026+0+00
Fri, Sep 25, 2026+0+00
Sat, Sep 26, 2026+1+00
Sun, Sep 27, 2026+0+00
Mon, Sep 28, 2026+0+00
Tue, Sep 29, 2026+0+00
Wed, Sep 30, 2026+2+00
Thu, Oct 1, 2026+13+10
Fri, Oct 2, 2026+0+00
Sat, Oct 3, 2026+0+00
Sun, Oct 4, 2026+0+00
Mon, Oct 5, 2026+0+00
Tue, Oct 6, 2026+0+00
Wed, Oct 7, 2026+0+00
Thu, Oct 8, 2026+0+00
Fri, Oct 9, 2026+0+00
Sat, Oct 10, 2026+0+00
Sun, Oct 11, 2026+0+00
Mon, Oct 12, 2026+0+00
Tue, Oct 13, 2026+0+00
Wed, Oct 14, 2026+0+00
Thu, Oct 15, 2026+0+00
Fri, Oct 16, 2026+0+00
Sat, Oct 17, 2026+0+00
Sun, Oct 18, 2026+0+00
Mon, Oct 19, 2026+0+00
Tue, Oct 20, 2026+0+00
Wed, Oct 21, 2026+0+00
Thu, Oct 22, 2026+0+00
Fri, Oct 23, 2026+1+10
Sat, Oct 24, 2026+0+00
Sun, Oct 25, 2026+0+00
Mon, Oct 26, 2026+0+00
Tue, Oct 27, 2026+0+00
Wed, Oct 28, 2026+0+00
Thu, Oct 29, 2026+0+00
Fri, Oct 30, 2026+0+00
Sat, Oct 31, 2026+0+00
Sun, Nov 1, 2026+0+00
Mon, Nov 2, 2026+0+00
Tue, Nov 3, 2026+0+00
Wed, Nov 4, 2026+0+00
Thu, Nov 5, 2026+1+00
Fri, Nov 6, 2026+0+00
Sat, Nov 7, 2026+0+00
Sun, Nov 8, 2026+0+00
Mon, Nov 9, 2026+0+00
Total+31+20
  • 1#1 on the list
  • 7Rank that day
  • Not trending
  • Mentions and achievements

    Where people are talking about magicrew/doc7, and every badge it has earned
    1. Sep 291 post
      • 以前把文档喂给 AI,得自己凑一套 OCR、版面、表格、公式的模型栈,折腾半天。 doc7 省了这一步:PDF、Office、扫描件、截图、图表、公式、流程图,直接转成 AI 能检索、能引用、能推理的 Markdown,模型就用你自己配的 OpenAI 兼容端点,本地或私有部署都行。 传送门:

        Read full on X, posted by @shenxiankk

        @shenxiankk · x.com

    2. 17 days earlier
    3. Sep 121 post
      • • Turn documents into AI-ready Markdown with visual understanding • Written in Go • Topics: document-ai, docx-to-markdown, local-ai

        Read full on X, posted by @the_osps

        @the_osps · x.com

    4. 1 month earlier
    5. Aug 131 post
      • PDF、Word、扫描件、截图,文件格式五花八门,想丢给 AI 还得先手动整理一遍。 doc7 把这些东西统一转成 Markdown,AI 可以直接检索、引用和推理。 有意思的是,它把每一页渲染成图片,再交给能看图的 AI 模型去理解,不用单独的文字识别工具。 GitHub: 模型用自己本地部署的就行,没有按页收费,跑多少文档看机器性能。 PDF、Office、邮件、电子书、Jupyter…

        Read full on X, posted by @GitHub_Daily

        @GitHub_Daily · x.com

    6. Aug 81 post
      • 🔥 Top 10 GitHub Projects This Week (Aug 9) — for AI devs & founders From a CPU-only 2.7T-param LLM to an agent-first CRM and an AI-native office suite. These 10 open-source repos exploded this week ↓

        Read full on X, posted by @FrankLeeLife

        @FrankLeeLife · x.com

    7. Aug 61 post
      • doc7 最值得拆的是架构选择:不靠逐格式解析器,而是把每页渲染成图像,交给指定的 OpenAI 兼容多模态模型重建结构。 PDF、Office、扫描件共用同一套页面理解管线,免去 OCR、版面、表格、公式模型的拼装。失败页可按页重跑,成功页不变;上下文超限自动降分辨率重试,manifest 记录每页模型来源。模型不内置,本地推理边际成本趋近电费;单个 Go 二进制覆盖…

        Read full on X, posted by @vintcessun

        @vintcessun · x.com

    8. Aug 41 post
      • 把 PDF、Office 文件、扫描件、截图、图表、公式和流程图转成 AI 可检索、可引用、可推理的 Markdown 模型用你自己配的 OpenAI 兼容端点(本地或私有部署均可),不用单独搭 OCR、版面、表格、公式一整套模型栈。

        Read full on X, posted by @geekbb

        @geekbb · x.com

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