Extract text, tables, and images from PDFs with OCR.
npx skills add https://github.com/zivtech/joyus-desktop --skill pdf-zivtech
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/zivtech/joyus-desktop/tree/main/.claude/skills/pdf Command: npx skills add https://github.com/zivtech/joyus-desktop --skill pdf-zivtech
This skill solves the friction of interacting with PDF documents, whether you need to extract specific data points, merge multiple files, or programmatically fill out complex forms that lack digital fields.
Ask the assistant to extract all text from the provided document using the pdf skill.
High-intent search queries and answers about installing and using this skill.
To extract text and tables from a scanned PDF, OCR processing converts document images into machine-readable text. This approach uses pytesseract and pdf2image to analyze visual layouts and parse structured table data accurately.
Automated form filling for PDFs without digital fields relies on coordinate-based annotation. This method maps data directly onto specific page coordinates to populate static documents programmatically without interactive form fields.
Yes, you can batch manipulate multiple PDF documents to merge, split, and rotate files. This workflow leverages pypdf and pypdfium2 to handle document structure modifications across large file sets efficiently.
Yes, this approach supports extracting text, tables, and images from native PDFs. It uses pdfplumber and pillow to analyze document structure, parse visual layouts, and retrieve embedded media accurately.
You need OCR for scanned documents where text is embedded as images, while native text extraction works for standard digital PDFs. Using OCR ensures accurate data extraction from image-heavy or non-selectable document formats.
Parsing complex table structures from PDF files involves analyzing visual layout and document metadata. Using pdfplumber and pandas, the process extracts structured table data and prepares it for downstream analysis workflows.
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