What Is OCR (Optical Character Recognition)?
OCR (Optical Character Recognition) extracts readable text from images, screenshots, photos, and scanned documents. Instead of manually retyping text from a picture, this tool identifies characters in the image and converts them to selectable, copyable, searchable text. It works with photos, screenshots, scanned PDFs, handwritten notes (with clear handwriting), and more.
Common OCR Use Cases
Use OCR to extract text from screenshots of chat messages, error logs, or UI mockups. Digitize printed documents — receipts, invoices, business cards, and letters. Convert PDF scans into editable text for reformatting or translation. Copy code from screenshots shared in forums or tutorials.
How to Use This Tool
- Upload an image — Drag and drop or click to upload an image containing text. Supported formats include PNG, JPEG, WebP, and more.
- Wait for processing — The OCR engine analyzes the image and identifies text regions. Processing typically takes a few seconds.
- Review extracted text — The recognized text appears in an editable text area. Review it for accuracy and make any needed corrections.
- Copy or download — Copy the extracted text to your clipboard, or download it as a plain text file for further use.
Tips and Best Practices
- → Higher resolution images produce more accurate results. If OCR quality is poor, try a larger or clearer version of the image.
- → Crop the image to include only the text region before uploading — removing surrounding graphics improves accuracy.
- → For multi-column layouts, OCR may mix column order. Check the output carefully and reorder text as needed.
- → This tool processes everything in your browser — your images are never uploaded to any server, keeping sensitive documents private.
Frequently Asked Questions
Built by Derek Giordano · Part of Ultimate Design Tools