Extract readable text from heterogeneous document and data files into a unified JSON envelope.
npx skills add https://github.com/loanntc/Paave --skill document-reader-loanntc
Please help me install this Agent Skill. Skill: document-reader Source: https://github.com/loanntc/Paave/tree/main/skills/doc-reader Command: npx skills add https://github.com/loanntc/Paave --skill document-reader-loanntc
It solves the problem of needing to understand and extract usable content from many different document types without manually opening and reformatting them.
Use document-reader to extract text from an uploaded PDF by asking it to read the file and return the unified JSON text payload.
High-intent search queries and answers about installing and using this skill.
Yes, you can perform OCR data extraction on images and read spreadsheet previews by dispatching the file extension. The reader applies OCR to images and extracts structural data like sheet and row previews from spreadsheets, returning the output in a unified JSON envelope.
No, you do not need a separate parser for formats like JSON, YAML, TOML, INI, and .env configs. A unified extraction tool reads these delimited and markup files alongside PDFs and images, converting them all into a single consistent JSON text payload.
No, you cannot extract readable text from executables and archive uploads because the extraction process enforces safety by rejecting them. This constraint prevents potentially unsafe file processing while successfully handling documents, spreadsheets, images, and source code.
Limitations when parsing large PDFs and spreadsheets include enforced truncation behavior and sensible extraction limits. The process applies PDF page slicing and limits spreadsheet preview rows to manage output size, returning truncation metadata within the unified JSON envelope.
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