OCR built for AI workflows
Most OCR tools dump unstructured text. Ours uses layout-aware OCR plus an LLM post-processor: it reads the image, identifies headings vs body vs lists vs code vs tables, and outputs structured Markdown that’s ready for LLM ingestion.
Drop a screenshot of a webpage, a photo of a printed page, a scan of a hand-written note, a slide from a webinar, or a whiteboard photo from a meeting — you get back a Markdown document with semantic structure rather than a wall of broken text.
What it handles
- Screenshots of articles, dashboards, and code editors
- Photos of printed documents (books, receipts, contracts)
- Scans, including multi-page PDFs of scanned pages
- Hand-written notes (English and major Latin-script languages)
- Whiteboards and meeting notes
- Tables — converted to Markdown tables, not flat text
- Code screenshots — wrapped in fenced code blocks with language detected
You can also caption images with AI: pass a photo and get a Markdown description plus alt text — perfect for accessible documentation and SEO.