Ocr And Documents
Extract and structure text from scanned PDFs and document images with a local-first OCR...
Install
npx skills add EKKOLearnAI/ekko-studio --skill ocr-and-documents -g -a claude-code -y- Repository
- EKKOLearnAI/ekko-studio11.6k
- Category
- Engineering
- Updated
- 3d ago
- License
- See repository
- Context cost
- Lightabout 581 tokens
- Runs scripts
- Yes, review before use
What it does
Extract and structure text from scanned PDFs and document images with a local-first OCR workflow, layout-aware fallbacks, and explicit heavyweight dependency controls.
OCR and scanned documents
Use this Skill when ordinary document extraction fails because the source is scanned, image-based, or layout-heavy.
Start here
Call skill_view for this Skill and use its returned baseDirectory. Helpers live in <baseDirectory>/scripts.
Prefer local processing. Do not upload a private document to an external OCR service unless the user explicitly authorizes that transfer.
Choose the lightest path
- Normal extraction first. For PDFs, try the bundled pdf Skill. For .docx, use docx. Do not OCR born-digital text.
- A few scanned pages. Render pages with the pdf Skill and inspect images using view_image; transcribe only the requested pages.
- Text-oriented scanned PDF. Try extract_pymupdf.py; this is the lighter local path.
- Complex layout, tables, math, or many scanned pages. Use extract_marker.py only after confirming the need and checking resources.
Helpers
python3 <baseDirectory>/scripts/extract_pymupdf.py input.pdf -o extracted.md
python3 <baseDirectory>/scripts/extract_marker.py --check
python3 <baseDirectory>/scripts/extract_marker.py input.pdf -o extracted.md
Run helpers with terminal_exec, using python3 as the command and arguments as an array. Use --help for exact options.
extract_pymupdf.py requires PyMuPDF:
python3 -m pip install pymupdf
Its --markdown mode additionally requires pymupdf4llm.
extract_marker.py uses marker-pdf, which can require several gigabytes of packages and model downloads. Never install it automatically. Check available disk space and ask the user before installing or downloading large models.
URLs
If the source is a URL, first use an available browser or HTTP tool to identify whether it points to HTML or a document. Download only the requested document, respect authentication and access boundaries, and then process the local copy. Do not assume a specific web tool exists.
