Extract text from PDFs and scanned images using OCR.
npx skills add https://github.com/kzinmr/ai-topics --skill ocr-and-documents-kzinmr
Please help me install this Agent Skill. Skill: ocr-and-documents Source: https://github.com/kzinmr/ai-topics/tree/main/config/hermes/skills/_overrides/ocr-and-documents Command: npx skills add https://github.com/kzinmr/ai-topics --skill ocr-and-documents-kzinmr
This Skill simplifies the process of converting documents into editable and searchable text, allowing for efficient information extraction and analysis.
Extract text from 'example_report.pdf' with ocr-and-documents extract text document.pdf.
High-intent search queries and answers about installing and using this skill.
To extract text from a scanned PDF, you need OCR capabilities to recognize the text within images. This Skill uses marker-pdf to process scanned PDFs and convert the visual text into editable, searchable text.
For text-based PDFs, direct text extraction is more efficient than OCR. This Skill uses pymupdf to quickly parse and extract text directly from native PDF documents without needing optical character recognition.
Yes, you need a Python environment to run the document conversion and text extraction processes. The Skill requires specific libraries like pymupdf, pymupdf4llm, and marker-pdf installed to handle various formats.
Yes, you can extract text from various document formats including native PDFs and scanned images. The Skill provides specific tools like pymupdf for text-only PDFs and marker-pdf for scanned documents to ensure accurate extraction.
Garbled or missing characters during PDF text extraction often occur when processing scanned documents without OCR. Using marker-pdf for scanned PDFs applies optical character recognition to accurately capture the visual text.
pymupdf is designed for extracting text directly from text-based PDFs. For scanned PDFs that contain images of text, you should use the marker-pdf tool included in the Skill to perform OCR extraction.
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