Image to Text
Extract readable text from an image using optical character recognition.
The Image to Text tool reads text that appears inside a photo or scanned image and converts it into editable, copyable text. It is free to use and needs no sign-up. Students digitizing notes from a textbook photo, office workers extracting text from a scanned document, and anyone who needs to quote text from a screenshot can use it to skip retyping everything by hand.
How does image to text OCR work?
Optical character recognition, or OCR, analyzes the shapes in an image to identify letters, numbers, and punctuation, then reconstructs them as machine-readable text. Accuracy depends heavily on factors like image resolution, lighting, contrast between text and background, and how straight and unobstructed the text is in the original photo. A clear, well-lit, high-resolution image of printed text will produce far more accurate results than a blurry or low-contrast photo of handwriting.
How to use the Image to Text tool
- Upload the image containing the text you want to extract.
- Let the tool scan the image and recognize the text.
- Copy or download the extracted text.
Key features
- Extracts text from photos, scans, and screenshots
- Works with printed text in common image formats
- One-click copy of the recognized text
- Free with no sign-up required
Related tools
If the source photo needs cleanup first, try Image Cropper to isolate the text area, or Image Enlarger to boost resolution. Image Compressor can help if the file is too large to upload quickly.
Frequently asked questions
Is Image to Text free?
Yes, extracting text from images is free and does not require sign-up. You can process as many images as you need.
How accurate is the text extraction?
Accuracy depends on image quality, with clear, high-resolution, well-lit photos of printed text producing the best results. Blurry, low-resolution, or heavily stylized text will be recognized less reliably.
Can it read handwriting?
The tool is optimized for printed and typed text, and handwriting recognition is generally less reliable than printed text recognition. Neat, clearly separated handwriting has a better chance of accurate extraction than cursive or messy writing.
What image formats work best for OCR?
Common formats like JPG and PNG both work well, as long as the text within the image is sharp and has good contrast against its background. Scanned documents saved at a higher resolution generally yield cleaner results than a photo taken at an angle.