Image to Text (OCR)

This tool runs entirely client-side: your image is never uploaded to a server. It uses Tesseract.js, a JavaScript port of the open-source Tesseract OCR engine that runs via WebAssembly directly in your browser tab.

After you select an image and a recognition language, Tesseract.js analyzes the image's pixels locally, reporting live progress as it initializes, loads the language data, and recognizes text, before returning the extracted text directly in the page.

Because everything runs in-browser using WebAssembly rather than a server-side OCR pipeline, processing time depends on your device's performance and the image's size and complexity, but no file data is ever transmitted anywhere.

Your files are uploaded over an encrypted (SSL) connection. We don't store, read, or share the contents of your files — they're processed to generate your result and are not retained on our servers afterward.

• Extracting text from a screenshot to quote or reuse without retyping it.
• Getting editable text out of a photo of a printed page, sign, or handwritten note.
• Digitizing text from an infographic or slide image for accessibility or search purposes.

• Using a low-resolution or blurry image and expecting high accuracy — like PDF OCR, image-to-text accuracy depends heavily on image clarity and contrast.
• Not proofreading extracted text before using it somewhere accuracy matters — similar-looking characters can be misread, especially in stylized fonts or poor lighting.

• Crop the image to just the text area before extracting — excess background can occasionally confuse text detection.
• Straight-on, well-lit photos extract far more accurately than angled or shadowed ones.

We respect your privacy. All files are processed securely and are never sold, shared, or used for anything beyond generating your result.