Last updated:
Check the units, assumptions and rounding before using a result. Health and financial estimates are educational and do not replace individual professional advice.
Found an error? Send the tool name, inputs, expected result and actual result so we can investigate.
Report a problemExtract text from images in your browser. Supports 100+ languages—no upload, runs locally.
Upload an image that contains text (photo of a document, screenshot, receipt, etc.). Select the language of the text and click “Recognize text”. The extracted text appears in the result panel—you can copy or download it.
OCR (Optical Character Recognition) is technology that reads text inside images and converts it into editable, searchable text. Instead of retyping a scanned document or screenshot, you run it through an OCR tool and get the text in seconds.
Modern OCR engines use pattern recognition and machine learning to detect characters, words, and layout. Browser-based OCR runs entirely on your device—your images are never uploaded to a server, which keeps your documents private and works offline after the first load.
OCR software analyzes the pixels in an image, detects regions that contain text, and converts them into machine-readable characters. The process typically involves:
Image preprocessing: The image may be deskewed, cropped, or converted to improve contrast so text stands out from the background.
Text detection: The engine locates lines, words, and character regions using layout analysis.
Recognition: Each character or word is matched against trained models for the selected language, producing the final text output.
From everyday documents to accessibility and multilingual content, OCR has many practical uses:
Digitize paperwork: Turn scanned contracts, forms, or printed pages into text you can edit, search, and archive.
Accessibility: Make text in images available to screen readers and assistive tools, or convert signs and labels to readable format.
Multilingual text: Extract text in many languages—choose the right language in the tool for better accuracy.
Privacy-first: When OCR runs in your browser, your images never leave your device—no cloud upload required.
Use clear, well-lit images for best results. The following formats are commonly supported by browser-based OCR:
PNG: Lossless format, ideal for screenshots and diagrams with text.
JPEG: Widely used for photos of documents; avoid heavy compression to keep text sharp.
WebP: Modern format supported by most browsers; good balance of quality and size.
BMP: Uncompressed bitmap; suitable when quality is more important than file size.
Understanding the difference helps you choose the right tool:
Browser-based OCR: No installation, works on any device with a modern browser. Your files stay on your device. Ideal for quick extractions, occasional use, and when you cannot install software.
Desktop OCR software: Often offers batch processing, PDF support, and advanced layout options. Requires installation and may send data to a server depending on the product. Best for high-volume or enterprise workflows.
Common use cases for extracting text from images:
Documents: Digitize scanned pages, forms, or printed documents into editable text.
Screenshots: Extract text from screenshots or UI captures for reuse or translation.
Receipts & labels: Get text from receipts, product labels, or signs for records or search.
Accessibility: Make text in images readable by screen readers or for translation.
OCR is used across industries and everyday tasks:
Business & legal: Digitizing contracts, invoices, and archives for search and compliance.
Education: Converting textbooks and handouts into accessible, searchable formats.
Healthcare: Extracting data from prescriptions, lab reports, and medical forms.
Retail & logistics: Reading barcodes, labels, and shipping documents for inventory and tracking.
Get the best results from your OCR tool with these simple tips:
Image quality: Use clear, well-lit images. Blurry or low-resolution photos reduce accuracy.
Match the language: Select the language of the text in the image. Wrong language leads to gibberish or missed text.
Good contrast: Text should stand out from the background. Avoid heavy shadows or watermarks over text.
Supported formats: PNG, JPEG, and WebP work well. Keep file size reasonable for faster processing.
Follow these guidelines to improve recognition quality:
Use high resolution: Blurry or low-resolution images lead to misread characters. Aim for at least 300 DPI for scanned documents.
Ensure good lighting: Avoid shadows and glare. Flat, even lighting improves accuracy.
Select the correct language: The tool’s language setting must match the text in the image. Mixed-language documents may require multiple passes.
Straighten the image: Crooked or skewed text is harder to recognize. Align the camera or crop to the text region.
Minimise noise: Clean backgrounds and clear fonts work best. Handwriting and decorative fonts are less accurate than printed text.
A browser-based OCR tool is fast, private, and works without installing software or creating an account.
Runs in your browser: No installation, no sign-up. Open the page, upload an image, and get text.
Your data stays private: Images are processed on your device. Nothing is sent to our servers.
Many languages: Choose from 100+ languages for accurate recognition of documents and signs from around the world.
Copy or download: Use the extracted text in any app—paste into a document, save as a file, or feed into translation tools.
OCR (Optical Character Recognition) converts text inside images into editable text. This tool runs entirely in your browser—no server upload.
No. All processing runs in your browser. Your image never leaves your device.
Common formats like PNG, JPEG, WebP, and BMP are supported. For best results use clear, well-lit images with readable text.
Accuracy depends on image quality, font clarity, and language setting. Use a clear image, choose the correct language, and avoid low resolution or heavily stylized text.
OCR is optimized for printed text. Handwriting recognition is less reliable and may require specialized tools. For best results with this tool, use clear printed or typed text.
Very large images may take longer to process or be limited by your device’s memory. For best performance, use images under a few megabytes and crop to the relevant text area.
Snap a photo of a receipt or invoice, upload it here, and select the correct language. Within seconds you get plain text you can paste into a spreadsheet or expense tracker.
Use case: Expense tracking and records
You have a screenshot with important text—a quote, an error message, or a snippet from an app. Upload the image, recognize the text, and copy it into your notes or support ticket.
Use case: Documentation and support
Photos of signs, menus, or labels in another language can be turned into text, then translated or read aloud. Choose the source language for best accuracy.
Use case: Translation and accessibility