Image tool

Image to text OCR online

Add a scan, document photo, or image with printed text and get editable text next to the preview.

Preview

Add an image to see the preview and word highlights.

Files

    Add an image to run OCR.

    What this tool does

    This OCR tool recognizes printed text from JPG, PNG, WebP, and other image formats supported by your browser. Before recognition you can rotate the image, enhance contrast, and preserve line breaks. The result includes average confidence, word highlights on the preview, and fragments that are worth checking manually.

    How to use it

    1. Add one or more images with printed text.
    2. Choose a language profile, page mode, and cleanup settings.
    3. Run recognition and wait for the progress to finish.
    4. Check uncertain words, edit the text, then copy or download the result.

    What affects OCR quality

    Sharp photos and scans with straight text, good contrast, and little perspective distortion work best. Before recognition, you can rotate the image, enhance contrast, choose the language, and select a page mode: regular document, single text block, or sparse text.

    If the image contains multiple languages, use the mixed profile. For receipts, signs, and screenshots, sparse text can help; for a book page or contract, the regular document mode with line breaks preserved is usually better.

    Recognition limits

    The tool is designed mainly for printed text. Handwritten notes, decorative fonts, heavy blur, shadows, complex tables, multiple columns, and text placed over images can produce mistakes.

    After recognition, review low-confidence words and important numbers manually. OCR is a fast way to create a draft text, but legal, financial, or medical documents should be checked especially carefully.

    Privacy and language data

    The image is processed on your device. The browser may download the Tesseract OCR engine and language files from a CDN, but the image itself is not sent to the All Tools server.

    Large images and batch processing need memory and time, so speed depends on the device. If recognition is slow, start with one file or reduce the source image size.

    Working with the result

    Recognized text can be edited before copying or downloading. Preserving line breaks is useful for documents, while removing hyphen line breaks helps join words split at the end of a line.

    Word highlights on the preview and average confidence help you see where recognition is reliable and where you should compare the text with the original image.