Convert handwritten and scanned PDFs into markdown with OCR engines.
npx skills add https://github.com/OPTIMETA/PAIDEIA --skill vision-ocr
Please help me install this Agent Skill. Skill: vision-ocr Source: https://github.com/OPTIMETA/PAIDEIA/tree/main/plugins/paideia/skills/vision-ocr Command: npx skills add https://github.com/OPTIMETA/PAIDEIA --skill vision-ocr
This Skill turns handwritten or scanned answer PDFs into accurate markdown transcription so grading and review can happen without manual retyping.
Use the vision-ocr skill to transcribe the attached scanned answer PDF into markdown while preserving the original language, math notation, and problem numbering.
High-intent search queries and answers about installing and using this skill.
To convert a scanned PDF with handwritten answers into markdown, use an OCR skill that transcribes image-based documents while preserving original language and math notation. It processes exam submissions and worksheet scans into clean markdown text for grading workflows.
OCR transcription preserves math notation, original language, and problem numbering from worksheets. The process skips crossed-out work and includes ambiguity marking for uncertain glyphs to ensure reliable conversion for grading workflows.
You can use Ollama Qwen3-VL or pytesseract as fallback paths for PDF transcription instead of native vision. These opt-in engines accommodate different privacy and fidelity needs when converting scanned documents into markdown.
The best way to transcribe exam answer scans for automated grading is using deterministic OCR that converts image-based PDFs into clean markdown. This preserves problem numbering and math notation, creating files ready for grading workflows.
Handwriting OCR handles ambiguous characters by adding ambiguity markers to the markdown output and skips crossed-out work entirely. This ensures the final transcription reflects only the intended answers for accurate grading.
You do not need mandatory dependencies to run scanned document conversion since Claude native vision is the default. Ollama and Tesseract are optional opt-in fallback paths for users with specific privacy or fidelity requirements.
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