PDF OCR Using Gemini LLM
VerifiedExtract text from PDFs using Google Gemini OCR. Use when extracting text from PDFs, performing OCR on scanned documents, or processing image-based PDFs.
$ Add to .claude/skills/ About This Skill
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:
- Run: `cd geminipdfocr && source venv/bin/activate && python -m geminipdfocr <path-to-pdf> [--json] [--output <file>]`
- Use `--json` for structured data.
- Use `--max-pages N` for testing or very long documents.
- 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 |
Use Cases
- Extract text from scanned PDF documents using Gemini's vision capabilities
- Perform OCR on PDF files containing images of text, tables, and forms
- Convert scanned documents to searchable text for indexing and analysis
- Process handwritten document scans into machine-readable text
- Extract structured data from scanned invoices, receipts, and forms
Pros & Cons
Pros
- +Gemini's vision model handles complex layouts including tables and forms
- +Handwriting recognition extends beyond standard OCR capabilities
- +Structured data extraction from forms saves manual data entry
Cons
- -OCR accuracy depends on scan quality, resolution, and document condition
- -Only available on claude-code and openclaw platforms
- -Requires Gemini API access with vision capabilities
FAQ
What does PDF OCR Using Gemini LLM do?
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