Image to Text (OCR)
Drag & drop an image here, or click to select
PNG, JPG, BMP, TIFF, WebP - all processed locally in your browser
Optical Character Recognition (OCR) uses artificial intelligence to convert printed or handwritten text in images into machine-readable text. This tool is powered by Tesseract.js, an AI-based OCR engine that uses neural networks for text recognition, running entirely in your browser with no server processing.
1.
Select a language for the text in your image (defaults to English)
2.
Drag and drop an image or click to upload - PNG, JPG, BMP, TIFF, or WebP
3.
Wait for the OCR engine to process the image (progress bar shows status)
4.
Copy the extracted text or download it as a .txt file
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Extracting text from screenshots, scanned documents, or photos of whiteboards
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Digitizing printed receipts, invoices, or business cards
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Converting handwritten notes or book pages to editable text
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Extracting text from images in foreign languages
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Copying text from images where copy-paste is not available
What languages are supported?
The tool supports 10 languages: English, Spanish, French, German, Portuguese, Italian, Chinese (Simplified), Japanese, Korean, and Arabic. Select the language before uploading your image for best results.
How accurate is the AI text extraction?
The AI model performs best on clean, high-resolution images with good contrast and printed text. Handwritten text and low-resolution photos may produce less accurate output, though results improve with clearer source images.
Is my image sent to a server for processing?
No. All OCR processing runs entirely in your browser using Tesseract.js. Your images never leave your device - no data is sent to any server.
What image formats are supported?
PNG, JPEG, BMP, TIFF, and WebP images are supported. For best OCR results, use high-contrast images with clear, readable text.
Why does processing take a while the first time?
On the first use, the AI model downloads language-specific data (a few MB) to your browser. Subsequent uses of the same language are faster because the model data is cached locally.