Image to Text (OCR) - Free & Private

How Image to Text (OCR) Works

1. 01Upload or drop an image containing text (PNG, JPG, WebP, or BMP)
2. 02Select the language of the text in the image
3. 03The OCR engine analyzes the image and extracts text with a progress indicator
4. 04Edit, copy, or download the extracted text

Getting the Best OCR Results

For the best text recognition accuracy, use high-resolution images with clear, well-lit text. Straight text on a plain background gives the highest confidence scores. Handwritten text, unusual fonts, or low-contrast images may produce less accurate results. This tool uses Tesseract.js, the most widely used open-source OCR engine, running entirely in your browser.

When to Use Image to Text

Use this tool to extract text from screenshots, scanned documents, photos of whiteboards, book pages, receipts, or any image containing printed text. Perfect for digitizing paper documents without a scanner app.

Common Use Cases

• —Extract text from screenshots to avoid retyping content manually
• —Digitize printed documents, business cards, or receipts without a scanner app
• —Copy text from photos of whiteboards taken during meetings Image Resizer - Exact Dimensions Free
• —Convert photographed book pages or articles into editable text
• —Extract data from images of spreadsheets or tables for further processing

Expert Tips

• ✻Crop the image to include only the text area before processing - this improves accuracy and speeds up recognition significantly.
• ✻Use high-contrast images for best results. If the original is low-contrast, increase brightness and contrast in a photo editor first.
• ✻Select the correct language before processing - the OCR engine uses language-specific models that affect character recognition patterns.
• ✻For multi-column layouts, consider processing each column as a separate cropped image to avoid mixed text from adjacent columns.
• ✻If accuracy is below 80%, try preprocessing the image: convert to grayscale, increase resolution, or straighten rotated text.

Frequently Asked Questions

What languages are supported?→

English, Dutch, German, French, Spanish, Portuguese, and Italian. Each language uses a trained model optimized for that script.

Is my image uploaded to a server?→

No. All OCR processing happens entirely in your browser using Tesseract.js. Your images never leave your device.

Can it read handwritten text?→

Tesseract works best with printed text. Handwriting recognition has limited accuracy and depends on legibility.

What does the confidence percentage mean?→

Confidence indicates how certain the OCR engine is about the recognized text. Above 80% is generally reliable. Lower scores suggest the image quality may be affecting accuracy.