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Extract text from PDFs using Google Gemini OCR. Use when extracting text from PDFs, performing OCR on scanned documents, or processing image-based PDFs.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/dvcrn/openclaw-skills-marketplace --skill pdf-ocr-using-gemini-llm命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
| name | PDF OCR using Gemini LLM |
| description | Extract text from PDFs using Google Gemini OCR. Use when extracting text from PDFs, performing OCR on scanned documents, or processing image-based PDFs. |
Use geminipdfocr to extract text from PDF documents via OCR (Google Gemini).
Full page images/files are sent to Google's API. PDFs are split into single-page files and each page is uploaded to Google Gemini for OCR. There are no hidden exfiltration endpoints or other data collection. Do not use with highly sensitive documents unless you accept that content is sent to Google.
Before first use, create and activate the virtual environment:
cd geminipdfocr && python -m venv venv && source venv/bin/activate && pip install -r requirements.txt
Set GOOGLE_API_KEY in your environment before running (e.g. export GOOGLE_API_KEY=your-key).
When requested to extract text or perform OCR on a PDF:
cd geminipdfocr && source venv/bin/activate && python -m geminipdfocr <path-to-pdf> [--json] [--output <file>]--json for structured data.--max-pages N for testing or very long documents.--quiet to suppress progress logs.GOOGLE_API_KEY set in the process environment (e.g. export GOOGLE_API_KEY=your-key).| Option | Description |
|---|---|
pdf_path | One or more PDF file paths (positional) |
--max-pages N | Limit pages per PDF |
--json | Output structured JSON instead of plain text |
--output FILE | Write result to file (default: stdout) |
--quiet | Suppress INFO/DEBUG logs |
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