Skills PDF OCR using Gemini LLM

Extract text from PDFs using Google Gemini OCR. Use when extracting text from PDFs, performing OCR on scanned documents, or processing image-based PDFs.

install

source · Clone the upstream repo

git clone https://github.com/openclaw/skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/ashtonizmev/geminipdfocr" ~/.claude/skills/clawdbot-skills-pdf-ocr-using-gemini-llm && rm -rf "$T"

manifest: skills/ashtonizmev/geminipdfocr/SKILL.md

source content

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:

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