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IMAGE TOOLS · FREE ONLINE TOOL
Image to Text (OCR)
Extract editable text from any image or screenshotA screenshot of an error message, a whiteboard photo, a scanned page: all trap text inside pixels where you cannot search, copy, or edit it. OCR reads the letter shapes and returns real, selectable text.
// IMAGE TO TEXT (OCR) · GET STARTED
Use Image to Text (OCR)
Extract editable text from any image or screenshot
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Add JPG, PNG, WebP or BMP images, drag and drop them here, or paste a screenshot straight from your clipboard with Ctrl+V. A real OCR engine reads them on your device, nothing is uploaded.
First run downloads the language data once (about 10-20 MB), then it is cached. Clean, straight photos work best; rotate tilted photos before extracting.
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How to use the Image to Text (OCR)
Recognize text
Choose the language and click "Extract text".
Copy or download
Copy the text, edit it if needed, or download it as .txt.
// IMAGE TO TEXT (OCR) · ABOUT THIS TOOL
About the Image to Text (OCR)
The Image to Text tool runs a genuine OCR engine right in your browser. It reads photos, screenshots and documents and hands you editable text in seconds, with support for English, Urdu, Arabic and Hindi. Auto-enhance cleans up contrast before recognition, and because everything happens on your device, your private images never leave the browser.
Where it helps most
Freeing text trapped in pixels.
Studying
Students digitize textbook pages and lecture slides instead of retyping them. The extracted text lands in an editable box, ready to copy.
Office paperwork
Office workers pull figures out of scanned invoices and reports. Clean screenshots, typed documents, and printed pages photographed straight-on extract at near-perfect accuracy.
Debugging
Developers extract error messages from screenshots to paste into search engines. Faster than retyping a stack trace by hand, and typo-free.
Multilingual
Multiple languages are supported, so a photo of a French menu or an Urdu signboard extracts just as readily as English text. No language barrier.
Getting clean text
Accuracy starts with the image.
Crop tightly first
For best results, crop tightly around the text before running OCR. Cutting out irrelevant background noticeably improves recognition accuracy every single time.
Sharp beats blurry
Accuracy depends heavily on the source image. Sharp, high-contrast, properly rotated images extract near-perfectly, while blurry photos and busy backgrounds produce errors.
Know the limits
Blurry photos, fancy script fonts, text over busy backgrounds, and heavy perspective distortion will produce errors that need manual cleanup. Know the limits.
Image to Text (OCR): private by design
Sensitive documents like IDs, contracts, and medical papers are never uploaded anywhere.
Image to Text (OCR) FAQs
Very high on clean sources, often above 95 percent for sharp screenshots and typed documents. Blurry photos, decorative fonts and skewed angles lower accuracy, so crop tightly around the text and use a clear, well-lit image for best results.
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