Select an image to scan it for a text
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Privacy First

Your images never leave your device. All text recognition happens directly inside your browser, ensuring complete privacy. We do not collect or store any personal data or uploaded files—because nothing is ever uploaded.

No Uploads — Ever

Unlike traditional OCR services that send your images to a remote server, Text Scanner performs all processing locally. This protects your sensitive documents and personal photos from exposure.

Works Right in Your Browser

Text Scanner is powered by Tesseract.js and OpenCV (WebAssembly). This means the OCR engine runs entirely on your machine using the power of your browser.

Offline Ready

Once the page is fully loaded, Text Scanner can continue working even without an internet connection. Perfect for low-connectivity environments or users who need guaranteed offline privacy.

Optical Character Recognition (OCR) is a technology that converts the text inside images into editable, searchable digital text. Text Scanner uses Tesseract.js, a modern JavaScript port of the Tesseract OCR engine, combined with OpenCV for image preprocessing. Here’s how it works:

  1. You select or drag an image onto the page

    The image stays in your browser’s memory and is never uploaded.

  2. OpenCV preprocesses the image

    Using WebAssembly acceleration, the image is enhanced for better recognition—this may include:

    • grayscale conversion
    • noise removal
    • thresholding
    • resizing
    • improving contrast and sharpness

  3. Tesseract.js analyzes the cleaned image

    The OCR engine searches for characters, detects text patterns, and recognizes letters, words, and numbers.

  4. Extracted text is displayed instantly

    You can copy, edit, or reuse the recognized text immediately.

This entire process happens client-side, providing speed, privacy, and accuracy without relying on external servers.

While Tesseract.js is powerful, OCR quality depends heavily on the image. Use these best practices to improve accuracy:

Use Clear, High-Resolution Images
Blurry or low-resolution photos reduce recognition accuracy. Aim for at least 300 DPI when scanning documents.

Ensure Good Lighting
Avoid shadows, glare, and uneven brightness. Natural or diffused lighting works best for photos taken with a phone.

Straighten and Crop Your Image
Tesseract performs better when the text is aligned properly. If possible:

  • rotate the image to correct tilt
  • crop out unnecessary background
  • keep text centered

Increase Contrast
High contrast between text and background leads to better results. Dark text on a light background performs best.

Avoid Fancy Fonts
Handwriting, decorative fonts, and distorted text can reduce OCR accuracy. Tesseract works best with clean, standard printed fonts.

Use Preprocessing Filters (Built-in)
Text Scanner automatically applies helpful preprocessing steps, but you can also adjust your images before uploading:

  • convert to grayscale
  • remove noise
  • sharpen edges
  • increase contrast