Image to Text Online Free (OCR)

OCR (optical character recognition) turns pixels into text: it finds text regions in an image, recognizes each character, and returns the words. Modern browser OCR is surprisingly good — good enough that screenshots, slides, receipts, and scanned pages convert in seconds with near-perfect accuracy. This guide covers how to get the best results, what breaks OCR, and the one privacy question you should always ask first.

How to convert an image to text (step-by-step)

1. Open the image-to-text tool.
2. Drop in a PNG, JPG, or WebP (up to 10 MB) — or click to choose one.
3. Click “Extract text” and wait a few seconds (the first run downloads the OCR engine).
4. Copy the extracted text, or download it as a .txt file.

Getting the best accuracy

OCR quality is 90% image quality. The recipe: dark text on a light background, text large enough to read comfortably, the image straight (not photographed at an angle), and good contrast — avoid shadows and glare. Screenshots are the ideal input. If a result comes back garbled, crop tightly around the text and try again; removing background clutter helps more than any setting. Handwriting and decorative fonts remain the hard cases for every OCR engine.

The privacy question: where does your image go?

This is the part most “free OCR” pages skip. The typical flow uploads your image to a server, processes it there, and returns the text — which means your photo of a receipt, ID, or private document sits on someone else’s infrastructure. A client-side tool like ToolsOfWeb’s runs the open-source Tesseract engine in your browser via WebAssembly: nothing is uploaded, nothing is stored, and it works the same offline after the first load. For anything you wouldn’t email to a stranger, that difference matters.

What to do with the extracted text

• Clean up line breaks and spacing with the Text Cleaner.
• Check length with the Word Counter.
• Enlarge a low-resolution source image first with the Image Upscaler.

FAQs