Image to Text OCR
Extract editable text from screenshots, scans and photos with private in-browser OCR. No uploads — Tesseract.js runs locally with WebAssembly.
🔒 Runs entirely in your browser — nothing is uploadedPrivate image to text conversion
Image to text OCR is useful whenever words are trapped inside a screenshot, scanned page, receipt, whiteboard photo or phone picture. Instead of retyping everything by hand, you can drop the image into this tool and let your browser identify the characters. The result is editable text that you can copy into notes, spreadsheets, emails, research documents or translation apps. Because the recognition happens on your device, it is a good fit for everyday documents that should not be uploaded to a random server.
This page uses Tesseract.js, an OCR engine compiled for the web. When you start recognition, the browser loads the OCR code and the language data it needs, then analyzes the pixels in the selected image locally. Your file is not posted to an API, stored in cloud storage or queued on a backend. The extracted text appears only in your current browser tab, where you can edit it, copy it or download it as a plain text file.
Tips for more accurate OCR
OCR works best with sharp, high-contrast text. If possible, use a straight scan or a screenshot instead of a tilted photo. Crop away clutter, make sure the letters are not blurred, and avoid heavy shadows across the page. Large, dark text on a light background is usually recognized better than small decorative fonts or text printed over an image. For photos of paper documents, place the page on a flat surface, use bright even lighting and keep the camera parallel to the text.
Choosing the right language also matters. The language model tells the OCR engine what letter shapes and word patterns to expect. English is selected by default, but you can choose Spanish, French, German, Italian or Portuguese when the image contains those languages. The first time you use a language, the model may take a little longer to download; after that, browser caching normally makes the next run faster.
When to use browser-based OCR
Browser-based OCR is ideal for quick extraction tasks: copying a paragraph from a screenshot, digitizing notes from a meeting, saving text from a receipt or pulling wording out of an image attached to a message. It is not a replacement for professional document processing workflows that need batch review, table reconstruction or guaranteed accuracy. Always read the result before relying on it, especially for numbers, names, legal text or medical information. For most everyday images, though, this tool provides a fast and private way to turn pixels back into usable text.
How to use
- Add an imageDrop a screenshot, scan or photo onto the upload box, or click to browse.
- Choose languageSelect the language that best matches the text in your image.
- Run OCRStart recognition and wait while the browser extracts text locally.
- Copy or downloadReview the editable result, then copy it or save it as a text file.