Read, extract text and tables, merge, split, and edit PDFs with Python.
npx skills add https://github.com/matevip/mateclaw --skill pdf-matevip
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/matevip/mateclaw/tree/main/mateclaw-server/src/main/resources/skills/pdf Command: npx skills add https://github.com/matevip/mateclaw --skill pdf-matevip
This Skill consolidates PDF processing tasks by enabling reading, text and table extraction, page merging/splitting, rotation, watermarking, creation, form filling, encryption, image extraction, and OCR on scanned documents, reducing manual effort.
Use the pdf skill to extract all text from the attached file 'invoice-q3.pdf'.
High-intent search queries and answers about installing and using this skill.
To extract text and tables from PDFs, this Skill uses Python-based tooling to read invoices and reports, capturing structured data for automated workflows. It processes document-heavy files across macOS, Linux, and Windows to reduce manual data entry.
You can merge, split, and rotate scanned PDF pages without losing data using this Skill's Python utilities. It applies edits like page manipulation and watermarking while preserving the original document structure for archival digitization.
This PDF data extraction tool supports OCR for scanned compliance files, converting images to searchable text. It handles archival digitization across macOS, Linux, and Windows using python3 to automate reproducible workflows.
The best way to automate form filling and encryption across thousands of PDF reports is using this Skill's batch processing capabilities. It applies form filling and encryption/decryption to document-heavy workflows, ensuring reproducible automated outputs.
You need Python installed to run PDF extraction and editing tasks, as this Skill relies on python3 and explicit tool support. This environment setup enables reproducible, automated workflows for document processing across multiple operating systems.
PDF text extraction returning unreadable characters for invoices usually indicates scanned image content instead of embedded text. Applying the Skill's OCR feature resolves this by recognizing text from images, enabling accurate data extraction from compliance files.
matevipCreate and edit .docx documents with support for tracked changes, comments, and find-and-replace.
Hollis36Extract text and tables from PDFs using Python libraries.
tocadaoncamodExtract text, tables, images, and form data from PDF documents.
agnt-ggExtract text, tables, and images from PDFs into TXT, CSV, and JSON.
