openocr-skills

Extract text, formulas, and tables from images and scanned PDFs.

1.4k|139|Updated May 31, 2024
One-click install
npx skills add https://github.com/Topdu/OpenOCR --skill openocr-skills
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openocr-skills
Source: https://github.com/Topdu/OpenOCR/tree/main/docs
Command: npx skills add https://github.com/Topdu/OpenOCR --skill openocr-skills

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the extraction of text, formulas, and tables from images and documents, transforming unstructured visual information into usable data.

Core Features & Use Cases

  • Comprehensive OCR: Supports text detection, recognition, and end-to-end OCR.
  • Advanced Document Understanding: Capable of recognizing mathematical formulas, tables, and performing layout analysis for full document parsing.
  • Use Case: Convert scanned reports into editable text, extract formulas from research papers, or parse complex invoices with both text and tabular data.

Quick Start

Extract all text from the attached image file 'receipt.png'.

Frequently Asked Questions about openocr-skills

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract text from a scanned PDF or image?

You can extract text from a scanned PDF or image by applying OCR to recognize characters. This Skill automates OCR to extract text, formulas, and tables from images and scanned documents, converting visual information into usable data.

Can OCR recognize mathematical formulas and tables in documents?

OCR can recognize mathematical formulas and tables by performing layout analysis and document parsing. This Skill supports advanced document understanding, enabling extraction of formulas, tables, and text from complex research papers or invoices.

Does this text recognition tool work on personal computers without specialized hardware?

This text recognition tool works on personal computers by leveraging lightweight models for efficient processing. You can perform text detection, recognition, and document parsing locally without requiring specialized hardware or extensive computational resources.

What is the best way to parse complex invoices with both text and tabular data?

The best way to parse complex invoices with text and tabular data is using OCR with layout analysis. This Skill performs full document parsing, accurately extracting text and tables from complex invoices to transform unstructured visual data into usable formats.

Are there limitations when using lightweight OCR models for document parsing?

Lightweight OCR models optimize document parsing for efficiency on personal computers, potentially limiting processing speed on extremely large document batches. They support text detection, recognition, and layout analysis but may face trade-offs with highly complex layouts.