Extract text, tables, and metadata from PDF documents using Python libraries.
npx skills add https://github.com/MrMoshkovitz/gm-claude --skill pdf-mrmoshkovitz
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/MrMoshkovitz/gm-claude/tree/main/all-skills/skills/document-skills/pdf Command: npx skills add https://github.com/MrMoshkovitz/gm-claude --skill pdf-mrmoshkovitz
This Skill eliminates the tedious manual work of filling out PDF forms and extracting data from documents, saving you hours of repetitive 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.
Text and table extraction from PDFs uses libraries like pdfplumber and pypdf to read document content programmatically. These tools parse PDF structure to retrieve plain text, structured table data, and metadata, which you can then process, filter, or export to CSV, JSON, or other formats without manual copying.
Yes, pypdf and reportlab enable programmatic form filling for both fillable and non-fillable PDFs. You populate form fields with data from databases or spreadsheets, then generate completed documents at scale, eliminating manual data entry and reducing processing time from hours to seconds.
Scanned PDFs require OCR (optical character recognition) using pytesseract with pdf2image to convert image-based pages into searchable, extractable text. This workflow converts scanned documents into machine-readable content suitable for data extraction and automation pipelines.
Yes, pypdf handles page-level operations including merging multiple documents, extracting specific pages, rotating content, and adding watermarks or password protection. These manipulation tasks are essential for batch document processing and compliance workflows.
Complex PDF handling uses qpdf for low-level operations and pytesseract for content embedded in images. Dependencies like poppler-utils support advanced rendering. For standard text and form extraction, pypdf and pdfplumber cover most use cases; specialized needs may require additional libraries.
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