doc-ocr
Skill0 starsChanged 33 days agoMITView on GitHub
文档文字识别。用户提供 PDF/扫描件/图片（合同、发票、书页、截图），需要提取文字、转成可编辑文本时使用。扫描件自动 OCR（macOS Vision，中英文）。Document OCR: extract editable text from PDFs, scans, and images (contracts, invoices, book pages, screenshots) via macOS Vision.
1 other project uses a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- jiawood2006/hermes-skillsedited, first seen Aug 24, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 1
- jiawood2006/hermes-skills★ 214% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
Files
Doc-OCR 文档文字识别
PDF / 扫描件 / 图片 → 可编辑文字。有文字层的 PDF 直接提取，扫描件自动 OCR（macOS Vision 自带，中英文）。
触发条件
用户提供 PDF/图片文件，要求：
- "提取文字""转文字""OCR"
- 处理扫描件、合同、发票、书页、截图
使用步骤
1. 单个文件
python3 ~/.hermes/skills/utilities/doc-ocr/scripts/dococr.py 合同.pdf
python3 ~/.hermes/skills/utilities/doc-ocr/scripts/dococr.py 发票.jpg输出保存为 <输入名>_ocr.txt。
2. 批量目录
python3 ~/.hermes/skills/utilities/doc-ocr/scripts/dococr.py ./扫描件/ -o 全部.txt3. Markdown 输出
python3 ~/.hermes/skills/utilities/doc-ocr/scripts/dococr.py 书.pdf --md依赖（首次使用时安装）
pip3 install pymupdf pyobjc-framework-Vision注意：OCR 依赖 macOS Vision（仅 macOS 可用）。Linux 需另装 tesseract 等引擎。
已知陷阱
- 扫描件判定：PDF 文字层 <20 字自动走 OCR，正常 PDF 直接提取。
- 手写体：Vision 对印刷体/清晰手写效果好，潦草手写不保证。
- 隐私卖点：文件在本机处理，不上传第三方。
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.