Extract text, tables, images, and form data from PDF documents.
npx skills add https://github.com/cheatcode-ai/cheatcode --skill pdf-reading-cheatcode-ai
Please help me install this Agent Skill. Skill: pdf-reading Source: https://github.com/cheatcode-ai/cheatcode/tree/main/skills/pdf-reading Command: npx skills add https://github.com/cheatcode-ai/cheatcode --skill pdf-reading-cheatcode-ai
This skill solves the challenge of accessing information trapped inside PDF files, whether they are text-based reports, scanned documents, or complex data-heavy forms.
Use the pdf-reading skill to extract all text and tables from the document named quarterly-report.pdf and save the output to a text file.
High-intent search queries and answers about installing and using this skill.
To extract tables from a PDF, this skill uses pdfplumber to perform layout-aware data retrieval, converting embedded tables into structured dataframes for immediate analysis and export.
Yes, you can extract text from scanned PDFs by rasterizing pages for visual inspection and applying pytesseract OCR to decode image content into readable text data.
The best way to inspect a PDF is using built-in diagnostic tools to identify document properties, embedded attachments, and font encoding issues to choose the best extraction strategy.
Yes, you need poppler-utils along with pypdf and pdfplumber to ensure accurate content inventory and layout-aware data retrieval from complex data-heavy reports.
PDF text extraction fails on slide decks due to complex layouts, but using rasterization and specialized parsing tools resolves this by accurately extracting visual content and text.
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