opencr-skillExtract text from images, documents and scanned PDFs using OpenOCR - supports text detection, recognition, universal VLM recognition, and document parsing with layout analysis
Install via ClawdBot CLI:
clawdbot install Topdu/opencr-skillGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/Topdu/OpenOCRAudited Apr 18, 2026 · audit v1.0
Generated Mar 21, 2026
Libraries and archives can use this skill to convert historical scanned documents, manuscripts, and PDFs into searchable digital text. It supports layout analysis to preserve document structure and handles multiple languages, making it ideal for digitizing diverse collections efficiently.
Financial departments can automate the extraction of text, tables, and formulas from scanned invoices and receipts. The universal recognition feature accurately captures structured data like amounts and dates, reducing manual entry errors and speeding up accounting workflows.
Law firms and legal teams can parse complex legal documents, such as contracts and case files, to extract text and tables with high accuracy. The layout analysis helps maintain document hierarchy, aiding in quick review and analysis of large volumes of paperwork.
Educational platforms can convert scanned textbooks, worksheets, and PDFs into accessible digital formats like Markdown. The skill's formula recognition supports STEM content, enabling the creation of interactive learning materials from printed sources.
Retail businesses can process scanned receipts to extract product names, prices, and quantities into structured data. This automates inventory tracking and sales analysis, helping optimize stock levels and reduce operational costs.
Offer a cloud-based service where users upload images or PDFs via an API to extract text, tables, and formulas. Charge based on usage tiers, such as number of pages processed per month, targeting small to medium businesses needing scalable OCR solutions.
Provide on-premise or custom-deployed versions of the skill for large organizations in finance, legal, or healthcare. Include tailored support, training, and integration with existing systems, ensuring compliance and high-performance requirements.
Offer a free tier for basic text extraction from images, with limits on file size or monthly usage. Upsell to paid plans for advanced features like universal recognition, batch processing, and priority support, attracting individual developers and startups.
💬 Integration Tip
Start with the 'ocr' task for general use, then experiment with 'unirec' or 'doc' for complex documents; ensure GPU is enabled for faster processing with large files.
Scored Apr 19, 2026
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