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    Conversion Image to Text

    Convert any image to editable text using OCR technology. Upload a photo, screenshot, or document and extract text instantly.

    Processed locally in your browser

    Upload Image to Extract Text

    Upload a screenshot, photo, or scanned document. OCR extracts text instantly.

    Supports JPG, PNG, WebP • Max 10MB • Works best with clear, printed text

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    Privacy First

    All OCR processing happens entirely in your browser. Your images are never uploaded to any server and are processed locally on your device.

    Understanding Image to Text Conversion

    Image to text conversion, also known as OCR (Optical Character Recognition), transforms visual text in images into editable digital text. This technology analyzes the pixels in an image, identifies character patterns, and outputs text you can copy, edit, search, and use in any application.

    The conversion process happens in milliseconds: our OCR engine scans your image, detects text regions, recognizes individual characters, and assembles them into words and sentences. Modern OCR handles various fonts, sizes, and even some handwriting with high accuracy.

    Why Convert Images to Text?

    Searchability

    Text in images can't be searched by computers. Converting to text makes documents searchable, enabling you to find information quickly across large archives.

    Editability

    Once converted, you can edit, format, translate, or repurpose the text. Fix typos, update information, or incorporate content into new documents.

    Accessibility

    Screen readers can't interpret text in images. Converting to text makes content accessible to visually impaired users and enables text-to-speech.

    The Conversion Process

    1

    Image Preprocessing

    The image is analyzed and optimized - contrast is enhanced, noise is reduced, and the image is converted to grayscale for better text detection.

    2

    Text Region Detection

    The OCR engine identifies areas containing text, distinguishing text from images, backgrounds, and other visual elements.

    3

    Character Recognition

    Individual characters are identified by comparing pixel patterns against known letter shapes. Machine learning improves accuracy over time.

    4

    Text Output

    Recognized characters are assembled into words and sentences, then output as plain text you can copy, download, or edit.

    Conversion Quality Tips

    • Use high-resolution images - At least 300 DPI for scanned documents, 1200px+ width for screenshots
    • Ensure good contrast - Dark text on light backgrounds converts best
    • Straighten angled text - Rotate images so text is horizontal before conversion
    • Avoid compression artifacts - Use PNG for screenshots, high-quality JPG for photos
    • Enable enhancement - Use "Enhance low-quality images" for blurry or low-contrast images

    Frequently Asked Questions

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