Extract text from PDF documents using pdftotext with pypdf fallback.
npx skills add https://github.com/fascari/ai-config --skill reading-pdf
Please help me install this Agent Skill. Skill: reading-pdf Source: https://github.com/fascari/ai-config/tree/main/skills/reading-pdf Command: npx skills add https://github.com/fascari/ai-config --skill reading-pdf
Reading PDFs often requires manual copying or OCR for scanned documents. This Skill provides a reliable way to extract readable text from PDFs using Poppler's pdftotext as the primary tool, with pypdf as a fallback when Poppler is unavailable, enabling downstream summarization and question-answering.
Provide a PDF path or attach a file to extract and present its text content.
High-intent search queries and answers about installing and using this skill.
The tool extracts text from PDFs using pdftotext as the primary method, preserving word boundaries and multi-column layouts. It outputs readable text directly ready for downstream summarization and question-answering tasks.
Handling text extraction from encrypted PDFs involves prompting for the password. The extraction process retries with the appropriate password option, enabling pdftotext or the pypdf fallback to access secured document content.
PDF text extraction works without pdftotext installed. The system automatically falls back to pypdf, ensuring you can still extract text from PDFs and perform document processing without Poppler.
You can use pypdf for document processing as it serves as the fallback extraction tool. While pdftotext is primary for layout-aware text extraction, pypdf ensures text-driven tasks like QA remain functional.
PDF text extraction may fail on scanned documents because this tool extracts embedded text rather than performing OCR. It relies on pdftotext or pypdf to read existing text layers, not recognize images.
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