Extract text, tables, and metadata from PDFs using Python libraries.
npx skills add https://github.com/lucasromanh/Voces-Cafayate --skill pdf-lucasromanh
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/lucasromanh/Voces-Cafayate/tree/main/.agents/skills/pdf Command: npx skills add https://github.com/lucasromanh/Voces-Cafayate --skill pdf-lucasromanh
PDFs are a common source of information, but extracting text, tables, and metadata, merging or splitting documents, and applying edits can be tedious and error-prone. This skill provides a programmable toolkit to automate diverse PDF workflows end-to-end.
Process a PDF by extracting all text and tables and saving the results to a separate text or CSV file.
High-intent search queries and answers about installing and using this skill.
You can extract text and tables from PDFs to automate invoice processing by applying this skill's Python toolkit, which reads document contents and saves structured outputs to text or CSV files without manual intervention.
Yes, you can perform OCR on scanned PDFs to extract data from archival documents. The skill utilizes libraries like pdf2image and Pillow to process scanned images and retrieve actionable text from them.
The best way to merge, split, or fill forms in PDF files using Python is through this skill's automated workflows, which handle both fillable and non-fillable forms, alongside document merging and splitting operations.
Yes, this PDF processing approach works with administrative, legal, and research reports. It applies end-to-end document workflows to extract metadata, text, and tables from various structured reports.
You can encrypt, decrypt, or add watermarks to PDF files programmatically by applying this skill's editing features, which allow diverse document modifications alongside core text and data extraction tasks.
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