Extract text from PDFs using Google Gemini OCR. Use when extracting text from PDFs, performing OCR on scanned documents, or processing image-based PDFs.
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SkillHub CLI
skillhub install ashtonizmev/geminipdfocrInspect the source and compatibility requirements, then follow its installation steps.
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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 |
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
## Purpose Use geminipdfocr to extract text from PDF documents via OCR (Google Gemini). ## Data and privacy **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. ## Setup (venv installation) Before first use, create and activate the virtual environment: ```bash 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`). ## How to use When requested to extract text or perform OCR on a PDF: 1. Run: `cd geminipdfocr && source venv/bin/activate && python -m geminipdfocr <path-to-pdf> [--json] [--output <file>]` 2. Use `--json` for structured data. 3. Use `--max-pages N` for testing or very long documents. 4. Use `--quiet` to suppress progress logs. ## Requirements - A valid PDF file path. - `GOOGLE_API_KEY` set in the process environment (e.g. `export GOOGLE_API_KEY=your-key`). ## CLI options | 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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