Image to Text Converter

Extract text from images with high accuracy OCR. Supports 100+ languages. Fast, free, and easy-to-use optical character recognition tool.

Loading OCR engine...

Drag & Drop Image Here

or click to browse files

Supports JPG, PNG, BMP, TIFF, GIF, and PDF files up to 10MB

File is large. Enable compression for better performance, or consider resizing.
Image Preview

Choose the language(s) present in your image for better accuracy

English
Spanish
French
German
Chinese (Simplified)
Japanese
Arabic
Russian
Portuguese
Italian
Korean
Hindi
View all 100+ supported languages
Initializing OCR engine... 0%
Extracted Text Results
Confidence Score: 85%
Original Image Preview
Original Image
Extracted Text
Text will appear here after processing...

How Optical Character Recognition (OCR) Works

OCR technology converts images of text into machine-readable text. Our tool uses Tesseract.js v5, an advanced OCR engine that processes images through multiple stages:

OCR Process Steps:

  1. Preprocessing: Image enhancement, noise reduction, and correction of skew/rotation
  2. Text Detection: Identifying regions of the image that contain text
  3. Character Recognition: Analyzing shapes and patterns to recognize individual characters
  4. Post-processing: Applying language models to correct errors and improve accuracy
  5. Output Generation: Converting recognized text into editable format with proper formatting

Best Practices for Better Results

1

Image Quality: Use clear, high-resolution images with good contrast between text and background. Avoid blurry or distorted images.

2

Text Alignment: Ensure text is horizontal and not rotated. Our auto-rotate feature helps with slight rotations.

3

Font and Size: Standard fonts (Arial, Times New Roman) work best. Text should be at least 10 pixels high in the image.

4

Language Selection: Choose the correct language for your text. Multi-language documents can be processed by selecting multiple languages.

5

Compression: For large images, enable compression to reduce memory usage and improve processing speed.

Supported File Types

  • JPEG/JPG - Most common image format
  • PNG - Lossless format with transparency support
  • BMP - Bitmap image format
  • TIFF - High-quality format for scanned documents
  • GIF - Simple graphics with limited colors
  • PDF - First page extraction with PDF.js integration

Common Use Cases

Document Digitization

Convert scanned paper documents, receipts, and invoices into editable digital text.

Book & Article Preservation

Extract text from book pages, magazines, and historical documents for archiving.

Text from Photos

Extract text from photos of signs, whiteboards, or any text captured with a camera.

ID & Form Processing

Automate data entry from forms, business cards, or identification documents.

Frequently Asked Questions

The maximum file size is 10MB. For larger files, we recommend using the compression option or resizing the image before upload. Files over 5MB will show a warning and may have reduced performance.

Accuracy depends on image quality, text size, font, and language. With clear images, accuracy typically exceeds 95%. The confidence score shown in results indicates the estimated accuracy for your specific extraction. You can improve accuracy by enabling noise reduction and auto-rotation.

Our OCR is optimized for printed text. Handwriting recognition is limited and works best with clear, block-style handwriting. For cursive handwriting, accuracy may be significantly lower. We recommend using printed documents for best results.

Yes, all processing happens in your browser using Tesseract.js. Your images are not uploaded to any server, ensuring complete privacy. The processing is done locally on your device. You can also save your extraction history locally in your browser.

If you encounter memory errors with large images, enable the "Compress large images" option. This will resize images before processing, reducing memory usage while maintaining text readability. Also consider cropping images to include only the text area.