Unlike classic OCR that just grabs raw text, this one actually understands the structure and semantics of images using modern models, so the output is immediately usable/editable in the right format.
Key things it handles well:
- Regular screenshots / scanned docs / handwriting → clean, structured text (supports 100+ languages)
- Code screenshots → properly formatted, runnable code (auto-detects 50+ languages, preserves indentation & syntax)
- Math equations / formulas → LaTeX, or directly converted to executable code in Python (NumPy), MATLAB, C++, Java, etc.
- Flowcharts, architecture diagrams, mind maps → clean Mermaid syntax (paste straight into Markdown / docs)
- Tables → Markdown tables or HTML
Standout points:
- Works entirely in-browser — no software to install
- Processes images with real understanding of layout/context (nested formulas, code blocks, diagram logic)
- Great for quick recovery of code from tiny/blurry tutorial images, turning book formulas into LaTeX instantly, or digitizing hand-drawn flowcharts
- All files are processed in real-time and permanently deleted from servers right after conversion (strong privacy focus)
I've used it recently for:
- Extracting & fixing pseudocode from old papers into Python
- Converting photographed textbook equations straight to LaTeX
- Turning whiteboard sketches into renderable Mermaid diagrams
Accuracy is impressive for most real-world cases (clean images give near-perfect results; very messy handwriting or extremely complex nested math can still need minor fixes).
Give it a try if you're dealing with visual-to-editable content often: https://freeaiocr.com
