OpenClaw

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.

ashtonizmev0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install ashtonizmev/geminipdfocr

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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

来源信息

Source: github
Repository: openclaw/skills
Path: skills/ashtonizmev/geminipdfocr
Version: —
Commit: c1f5803e02f49f7c5799097c044f3e780fb20e05
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

## 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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