Image to Text (OCR)

Free Image to Text Converter - OCR Tool to Extract Text from Images

Extract and convert text from images using advanced OCR (Optical Character Recognition) technology. This free online image to text converter supports 15+ languages including English, Vietnamese, Chinese, Japanese, Korean, French, German, Spanish, Russian, Arabic, Hindi, Portuguese, Italian, and Thai. Upload JPG, PNG, WebP, or TIFF images and get accurate text extraction with confidence scores. Perfect for digitizing documents, extracting text from screenshots, converting scanned PDFs to text, reading text from photos, processing receipts and invoices, and converting handwritten notes to digital text. The tool runs entirely in your browser using Tesseract.js OCR engine - your images never leave your device, ensuring complete privacy and security. Process unlimited images with no registration required and no hidden fees. Get instant results with character count, word count, and accuracy metrics.

What is OCR and how does this tool work?

OCR (Optical Character Recognition) is a technology that converts images of text into machine-readable text. This tool uses Tesseract.js, an advanced open-source OCR engine that runs directly in your web browser. Simply upload an image containing text, select the language, and the tool will analyze the image, recognize the characters, and extract the text. The entire process happens on your device - your images are never uploaded to any server, ensuring complete privacy.

What languages are supported for text extraction?

This tool supports 15+ languages including: English, Vietnamese (Tiếng Việt), Simplified Chinese (中文), Traditional Chinese, Japanese (日本語), Korean (한국어), French (Français), German (Deutsch), Spanish (Español), Russian (Русский), Arabic (العربية), Hindi (हिन्दी), Portuguese (Português), Italian (Italiano), and Thai (ไทย). For best results, select the correct language that matches the text in your image before extracting.

What image formats are supported?

The tool supports all common image formats including JPG/JPEG, PNG, WebP, TIFF, BMP, and GIF. For best OCR accuracy, use high-resolution images with clear, readable text. The maximum file size is 20MB. Images with good contrast, proper lighting, and minimal noise or distortion will produce the most accurate results.

How accurate is the text extraction?

The accuracy of text extraction depends on several factors: image quality, text clarity, font type, language selected, and lighting conditions. The tool provides a confidence score after extraction - scores above 80% indicate high accuracy, 60-80% is moderate, and below 60% suggests the image may need improvement. For best results, use high-resolution images with clear, well-lit text in standard fonts. The tool works well with printed text, typed text, and even some handwritten text if it's clear and legible.

What types of images work best for OCR?

Best results are obtained with: High-resolution images (at least 300 DPI for scanned documents), Clear printed or typed text, Good contrast between text and background, Proper lighting without glare or shadows, Straight text orientation (not tilted), Standard fonts and reasonable font sizes. Images that may have lower accuracy include: Handwritten text (especially cursive), Low-resolution or blurry images, Text on complex backgrounds, Distorted or warped text, Extremely small font sizes, Decorative or unusual fonts.

Is my data private and secure?

Yes, absolutely! All image processing and text extraction happen directly in your web browser using JavaScript and the Tesseract.js library. Your images are never uploaded to any server, and no data is collected, transmitted, or stored anywhere. This ensures complete privacy and security for your documents and images. You can even use this tool offline once the page and language data are loaded. Your images and extracted text remain 100% private on your device.

Can I extract text from scanned documents or PDFs?

Yes! If you have a scanned document or PDF page, you can take a screenshot or convert it to an image format (JPG, PNG) first, then use this tool to extract the text. For multi-page documents, you'll need to process each page separately. For best results with scanned documents, ensure the scan is at least 300 DPI resolution and has good contrast. This tool is perfect for digitizing old documents, extracting text from scanned receipts, converting printed materials to digital text, and processing scanned forms.

What can I use this tool for?

This OCR tool has many practical applications: Digitizing printed documents and books, Extracting text from screenshots and photos, Converting scanned PDFs to editable text, Reading text from business cards and signs, Processing receipts and invoices for expense tracking, Converting handwritten notes to digital text, Extracting quotes or information from images, Making text from images searchable and editable, Translating text from photos (extract first, then translate), Archiving old documents and records, and much more.

Why is the confidence score important?

The confidence score indicates how certain the OCR engine is about the accuracy of the extracted text. A higher score (80%+) means the text is likely very accurate and requires minimal correction. Lower scores suggest you should carefully review the extracted text for errors. If you get a low confidence score, try improving the image quality - increase resolution, adjust lighting, ensure the text is straight and clear, or select the correct language. The confidence score helps you quickly assess whether the extracted text needs manual verification.

Can I extract text from images with multiple languages?

This tool works best when processing images with text in a single language at a time. If your image contains multiple languages, select the primary language in the image. For documents with mixed languages, you may need to crop the image to isolate each language section and process them separately for best accuracy. Each language uses different character recognition models, so processing one language at a time provides the most accurate results.

What should I do if the extracted text is inaccurate?

If the text extraction is not accurate: 1) Check if you selected the correct language, 2) Try to improve the image quality - increase resolution, adjust brightness/contrast, reduce noise, 3) Ensure the text is not tilted or distorted, 4) Make sure there's good contrast between text and background, 5) Try a different image of the same text if possible, 6) For low-quality images, consider using image editing tools to enhance clarity before OCR. You can also manually correct any errors in the extracted text after processing.

Does this work on mobile devices?

Yes! The tool is fully responsive and works on smartphones and tablets. You can take a photo with your mobile camera or select an image from your gallery, then extract text directly on your mobile device. The OCR processing happens on your device, so make sure you have a stable browser and sufficient memory for processing. Mobile OCR is perfect for quickly capturing text from signs, menus, documents, business cards, and other real-world text while on the go.