Image to Text (OCR) - Extract Text from Images Free
Last updated: 2026-03-22
You have a screenshot of a code snippet, a photo of a whiteboard, or a scanned document. You need the text in a format you can copy, paste, and edit. OCR (Optical Character Recognition) extracts text from images automatically.
What OCR Can Read
| Source | Accuracy | Tips |
|---|---|---|
| Typed text (screenshots, PDFs) | 98-99% | Best results, minimal cleanup needed |
| Printed text (books, documents) | 95-98% | Good lighting and flat surface help |
| Handwritten text (neat) | 80-90% | Print-style handwriting works best |
| Handwritten text (cursive) | 50-70% | Results vary significantly |
| Receipts and invoices | 90-95% | Thermal paper fades — scan early |
| Whiteboards | 85-95% | Avoid glare, use dark markers |
Supported Languages
Our OCR engine supports 100+ languages including English, Spanish, French, German, Chinese, Japanese, Korean, Arabic, Hindi, and Russian. It auto-detects the language in most cases.
Tips for Better OCR Results
- Resolution matters. 300 DPI minimum for scanned documents. Phone photos should be at least 1000px wide.
- Contrast matters. Dark text on light background works best. Low contrast (gray text on white) reduces accuracy.
- Straighten the image. Skewed text reduces accuracy. Most phone scanning apps auto-straighten.
- Crop to the text area. Remove borders, decorations, and non-text elements before OCR.
Extract text from any image - free, instant, 100+ languages.
Open OCR Tool →Related Tools
Image to Text (OCR) - Extract text
Image Resizer - Improve resolution
Image Cropper - Crop to text area
Convert to PNG - Best format for OCR
Image Compressor - Reduce file size
Image to Base64 - Encode images
According to Tesseract documentation, modern OCR engines achieve 99%+ accuracy on clean printed text.
As Google web.dev documents, the Shape Detection API brings native OCR capabilities to browsers.