AI & Vision Tool

Image to Text (OCR) Converter

Extract editable text, numbers, and tabular data from photos, scans, and screenshots privately in your browser using WebAssembly Tesseract.js OCR.

🔒
100% Private & In-Browser OCR: Images are processed strictly on your local device. Your sensitive files and text data are never uploaded to any remote server.
1 Upload Image
2 OCR Scan & Extract
3 View & Copy Text

Choose an Image File or Drag & Drop Here

Supports PNG, JPG, JPEG, WebP, BMP, and GIF images up to 50MB

How to Get Accurate Text From an Image

This tool turns the pixels in a picture into editable text using OCR, optical character recognition. You select an image, run the scan, and then copy the result or save it as a .txt file. The page shows a word and character count when it finishes. Accuracy depends heavily on the picture you feed it, so a little preparation pays off more than rerunning the scan.

What Works Best

OCR performs well on clean, high-contrast printed text: book pages, typed documents, signs, and screenshots. It struggles with low resolution, motion blur, glare, and photos taken at an angle. Capture the page straight on with even light, and fill the frame with the text. For screenshots, avoid zooming out, since tiny letters lose their shapes.

Quick Preparation Checklist

  • Crop to the text you actually want, which removes logos, borders, and background noise that could produce junk characters.
  • Use a larger version of the image where you can. Small text of around ten pixels tall is hard to recognize.
  • Prefer dark text on a plain light background. Light text on a busy photo is the hardest case.
  • Keep lines horizontal. A tilted page often produces scrambled line order.

Always Proofread

Even good scans slip on lookalike characters. Typical swaps include the letter O and the digit 0, the capital I and a lowercase l, and rn read as m. When the text contains numbers such as invoice totals, phone numbers, or codes, compare each one against the original image before using it.

About Privacy and Processing Time

The page states that recognition runs inside your browser, so the image is not sent to a server. The first scan has to load the OCR engine, which takes extra time, and large images take longer to process than small ones. If a scan stalls on a big photo, reduce its size with the Image Resizer and try again.

Frequently Asked Questions

Which languages does the OCR read?

The engine on this page is set up for English text. Other languages and scripts will usually produce unreliable output.

Why is the extracted text full of mistakes?

Most errors trace back to the image: low resolution, blur, shadows, skewed angles, or decorative fonts. Retake or rescan the picture straight on, in even light, and try again.

Can it read handwriting?

Handwriting is much less reliable than printed text. Neat block letters may come through in part, but cursive and rushed notes usually will not. Plan to check and correct the result by hand.

Does it keep tables and layout?

The output is plain text. Columns, tables, and formatting are not preserved, so expect to rebuild the layout in a spreadsheet or document after copying the text.