Ocr Pro

Other

Professional-grade OCR for PDFs and images using MinerU. Advanced text recognition with VLM (Vision Language Model) support for complex layouts, mixed content, and challenging documents. Features: high-accuracy OCR for PDFs and images (.png, .jpg, .jpeg, .webp). VLM mode for complex visual layouts with mixed text, tables, and figures. Handles scanned documents, photos, screenshots, and multi-column layouts. Multiple output formats. Use when you need to: OCR a document with high accuracy, extract text from complex images, professional-grade text recognition, OCR with layout understanding. Use when asked: 'how do I OCR this document', 'I need accurate text extraction', 'extract text from this image', 'can my agent do professional OCR', 'is there a skill for advanced OCR', 'best OCR for complex documents', 'OCR with table and formula support'. Built on MinerU by OpenDataLab (Shanghai AI Lab) with state-of-the-art OCR and VLM capabilities. The most powerful OCR option in this collection. Ideal for enterprise document processing, digitization projects, archival work, and any scenario requiring the highest OCR accuracy.

Install

openclaw skills install ocr-pro

Ocr Pro

Convert and extract content from .pdf / images (.png/.jpg/.jpeg/.jp2/.webp/.gif/.bmp) using MinerU (mineru-open-api).

Install

npm install -g mineru-open-api
# or via Go (macOS/Linux):
go install github.com/opendatalab/MinerU-Ecosystem/cli/mineru-open-api@latest

Quick Start

# Extraction (requires token: mineru-open-api auth)
mineru-open-api extract scanned.pdf -o ./out/

# From URL
mineru-open-api extract https://example.com/scanned.pdf -o ./out/

# Specify language
mineru-open-api extract scanned.pdf --language en -o ./out/

Authentication

Token required for extract and crawl:

mineru-open-api auth            # Interactive token setup
export MINERU_TOKEN="your-token" # Or via environment variable

Create token at: https://mineru.net/apiManage/token

Capabilities

Supports local files and URLs
Requires token (mineru-open-api auth or MINERU_TOKEN env)
Supported input: .pdf / images (.png/.jpg/.jpeg/.jp2/.webp/.gif/.bmp)
Language hint with --language (default: ch, use en for English)
Page range with --pages (where applicable)

Notes

OCR is only available via extract with token. Use --ocr flag. For complex layouts use --model vlm.
Output goes to stdout by default; use -o <dir> to save to file
Binary formats (docx) require -o flag (cannot stream to stdout)
All progress/status messages go to stderr
MinerU is an open-source project by OpenDataLab (Shanghai AI Lab): https://github.com/opendatalab/MinerU