Image to Text (OCR)
Typing out text from a photo, screenshot, or scanned page by hand is slow and easy to get wrong. This Image to Text tool, also called OCR, does that work for you. OCR stands for Optical Character Recognition. It looks at the letters inside an image and turns them into editable text that you can copy, search, edit, and save like normal typed writing.
The tool supports English by default and also offers Hindi, Urdu, Spanish, French, German, and Arabic. Simply choose your image, pick the language that matches the text in it, and click Extract Text. A progress bar shows how the recognition is moving, because larger or clearer images can take a little time. When it finishes, the extracted text appears in the box, ready to copy or download as a plain text file.
For the best results, use a sharp image with clear printed text, good light, and straight lines. Handwriting, blurry photos, curved pages, and busy backgrounds are much harder for any OCR tool and will produce more mistakes. Always read through the result and fix small errors before using it for important work, quotations, or official documents.
One important detail: recognition runs in your browser. The OCR engine files load once from a free content delivery network, and after that your image itself is processed on your own device rather than being uploaded for recognition.
How to use
- Click the file button and choose an image from your device.
- Check the preview to confirm you selected the right image.
- Select the language of the text inside the image.
- Click Extract Text and watch the progress bar until it reaches the end.
- Review and correct the extracted text in the output box.
- Click Copy text, or Download .txt to save the text as a file.
Frequently asked questions
Is my image uploaded to a server?
Recognition is local in your browser after the engine loads. Your image is processed on your device and is not sent away for the extraction itself.
Why is the result slow or imperfect?
Large images are slower because every part must be analysed. Blurry, tilted, handwritten, or low-light images also reduce accuracy for every OCR engine.
Which images work best?
Clear screenshots, scanned documents, and straight photos of printed pages work best. Crop away borders and backgrounds before extracting if you can.
Can it read handwriting?
It may read very neat handwriting partly, but it is designed for printed text. Expect mistakes with handwriting and always check the output carefully.