Extract text from PDFs, images, spreadsheets, and code files.
npx skills add https://github.com/OpenSucker/OpenSucker --skill doc-reader-opensucker
Please help me install this Agent Skill. Skill: doc-reader Source: https://github.com/OpenSucker/OpenSucker/tree/main/skills/vibe_skills/doc-reader Command: npx skills add https://github.com/OpenSucker/OpenSucker --skill doc-reader-opensucker
This Skill enables users to extract and comprehend text from diverse document formats, reducing manual copying and data entry efforts.
Use the doc-reader to extract text content from the uploaded PDF file 'report.pdf' for review.
High-intent search queries and answers about installing and using this skill.
To extract text from a PDF and Excel simultaneously, use a universal document reader that parses both file formats into structured text. This Skill handles PDFs, spreadsheets, and images, consolidating diverse files for unified analysis.
Yes, you can use OCR to extract text from images embedded in a Word document. The Skill utilizes the rapidocr-onnxruntime dependency to perform text recognition on images, enabling comprehensive data extraction from mixed-format files.
The best way to read and parse source code files for research is using a universal document parsing tool. This Skill supports extracting and comprehending text from source code, CSV, JSON, and YAML, facilitating efficient review workflows.
Yes, doc-reader works with PowerPoint and HTML files. It extracts and reads text from multiple document formats including PPT, HTML, PDFs, Word, and Excel, reducing manual copying and data entry efforts across various file types.
To extract data tables from Excel for automated review workflows, apply a versatile data handling tool that reads spreadsheet structures. This Skill parses Excel files and converts them into structured text for analysis and summarization.
You need rapidocr-onnxruntime specifically when processing scanned PDFs or extracting text from images. For standard text-based PDFs and spreadsheets, the Skill parses text directly without requiring the OCR engine dependency.
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