How to Extract Text from Images With OCR

Quick answer: upload a sharp image to an OCR tool and copy the recognized text. OCR (Optical Character Recognition) detects letter shapes in pixels and returns editable text — clean screenshots typically convert at over 95% accuracy.

What OCR can and cannot read

Source	Typical accuracy	Notes
Screenshots, UI text	Over 95%	Copy directly, spot-check numbers
Clean scans, receipts	90-98%	Watch totals and decimal points
Phone photos of pages	80-95%	Flatten skew and boost contrast first
Handwriting	Variable	Print beats cursive; always proofread

Extract text in 3 steps

1. Open the free image-to-text tool and upload the image — 8 languages supported, all processed in your browser.
2. Choose the text language for best results and run extraction.
3. Copy the text or download it, then proofread names, numbers, and formatting.

How to raise accuracy before you extract

• Use the sharpest source: original screenshots beat photos-of-screens every time.
• Crop to the text: cutting banners and sidebars removes false positives.
• Straighten and brighten: rotate skewed pages and lift shadows on phone photos.

What to do with extracted text

Paste quotes into documents, convert edited results with a PDF to Word converter when the destination is Word, or tidy scanned contracts in an online PDF editor. For anything official, always verify the extracted copy against the original image.