OCR & Text Extraction
100% Client-Side 100% Client-Side OCR. Your images and extracted text never leave your computer or browser memory.

Image to Text OCR Converter

Convert images, photos, and book scans into editable text 100% in-browser

100% Client-Side Privacy: Zero images or screenshots leave your device. All OCR and preprocessing executes locally in WebAssembly.
Zero Cloud Uploads • HIPAA & GDPR Safe
Select or Drop Image for Text ExtractionSupports PNG, JPG, WebP, BMP, GIF, and direct clipboard screenshots.
Ctrl + V Direct PasteDrag & Drop

About Image to Text OCR Converter

Free client-side Image to Text converter powered by Tesseract.js neural OCR. Extract text from PNG, JPG, WebP, and BMP images directly in your browser with zero server uploads, privacy guarantees, and instant copy or TXT export.

Key Capabilities & Features

  • Multi-language optical character recognition (English, Spanish, French, German, and more)
  • Real-time image pre-processing with grayscale, contrast boost, and Otsu adaptive binarization
  • Instant copy to clipboard and one-click TXT file download
  • Accurate confidence score metrics and character count analysis
  • Drag-and-drop file upload and Ctrl+V clipboard paste support

How to Use Image to Text OCR Converter

1

Upload or Paste Image

Drag and drop your image, browse from local storage, or paste directly with Ctrl+V.

2

Optimize Recognition

Adjust brightness, contrast, or enable adaptive binarization for enhanced text clarity.

3

Extract & Copy

Click Start OCR to extract character text and copy or download the results.

Privacy & In-Browser Execution Guarantee

100% Client-Side OCR. Your images and extracted text never leave your computer or browser memory.

Frequently Asked Questions

Are my sensitive images uploaded to any remote server?

No. The entire OCR engine runs client-side inside your browser via WebAssembly (WASM). No image data or text is ever sent over the network.

How can I get the best OCR accuracy?

Ensure images are upright, well-lit, and high resolution (300 DPI is ideal). Use the built-in contrast and binarization filters for scanned documents.