Extract text, tables, and OCR content from PDFs and documents.
npx skills add https://github.com/gquthier/CLAWG --skill ocr-and-documents-gquthier
Please help me install this Agent Skill. Skill: ocr-and-documents Source: https://github.com/gquthier/CLAWG/tree/main/skills/productivity/ocr-and-documents Command: npx skills add https://github.com/gquthier/CLAWG --skill ocr-and-documents-gquthier
Extract text from PDFs and documents, including scanned files, to produce searchable, machine-readable content.
Provide a document URL or a local PDF and ask me to extract text.
High-intent search queries and answers about installing and using this skill.
To extract text from a scanned PDF, this Skill uses marker-pdf for OCR processing, converting non-text content into machine-readable, searchable text. It handles tables and text from local files and remote URLs.
Yes, you can extract text from a PDF via a remote URL using the web_extract functionality. This allows online documents to be processed directly without needing a local copy.
The best way to convert a PDF to Markdown is by using pymupdf4llm for text-based PDFs and marker-pdf for scanned documents, producing structured Markdown output for easy integration.
Yes, this OCR tool works with DOCX and PPTX files by providing handling guidance and utilizing optional python-docx support to extract text and output Markdown.
Marker-pdf is used instead of pymupdf when processing scanned documents or images that require OCR, whereas pymupdf is sufficient for extracting text directly from text-based PDFs.
Local text extraction supports PDF, DOCX, PPTX, and EPUB files, converting text, tables, and non-text content into searchable, machine-readable Markdown.
attentiondotnetExtract text from PDFs, DOCX, PPTX, and scanned documents via OCR.
maxvaegaExtract text and metadata from PDF documents via Python scripts.
enoch-robinsonCreate and edit .docx files with support for templates and revisions.
nimadorostkarConvert HTML documents into structured Markdown or PDF files.
