Image to Text (OCR)

About Image to Text (OCR) Tool

The Image to Text tool uses Optical Character Recognition (OCR) powered by Tesseract.js to extract readable, editable text from images directly in your browser. Upload a screenshot, photo of a document, scanned page, or any image containing text and get copyable, searchable output in seconds — no server upload required, no software installation needed, and complete privacy for sensitive documents.

How OCR Technology Works

OCR (Optical Character Recognition) analyzes an image to identify patterns that correspond to letters, numbers, and symbols. Tesseract.js — the JavaScript port of Google's Tesseract engine — first preprocesses the image by adjusting contrast and detecting text regions, then uses trained neural network models to recognize characters in over 100 languages. The entire process runs in your browser using WebAssembly, providing near-native performance without sending your data anywhere.

Key Features

• Browser-based OCR — runs Tesseract.js entirely client-side using WebAssembly for maximum privacy and speed.
• 100+ languages — recognizes text in dozens of languages including English, Spanish, French, German, Chinese, Japanese, Korean, Arabic, Hindi, and more.
• Built-in translation — optionally translate the extracted text to another language immediately after recognition.
• High accuracy — works exceptionally well with printed text, screenshots, receipts, and clean document scans.
• Copy and export — copy the recognized text to your clipboard with one click for immediate use.
• Progress indicator — shows real-time progress as the OCR engine processes your image.

Getting the Best Results

1. Use clear images — high-contrast, well-lit images with sharp text produce the best OCR accuracy.
2. Select the right language — choose the language of the text in the image for optimal character recognition.
3. Crop to text areas — if the image contains non-text elements (photos, graphics), crop to just the text area before uploading.
4. Straighten skewed images — rotated or skewed text reduces accuracy. Align the image before uploading.
5. Use sufficient resolution — text should be at least 20 pixels tall for reliable recognition. Higher resolution is better.

Supported Languages

Tesseract.js supports over 100 languages and scripts, including Latin, Cyrillic, CJK (Chinese, Japanese, Korean), Arabic, Hebrew, Devanagari, Thai, and many more. For best results with non-Latin scripts, ensure you select the correct language from the dropdown before processing. Multi-language documents may require processing each section separately with the appropriate language selected.

Real-World Use Cases

• Extracting text from screenshots of error messages, code snippets, or chat conversations for easy copying and sharing.
• Digitizing printed documents, receipts, invoices, or business cards by photographing them with your phone.
• Converting scanned PDF pages (saved as images) into editable, searchable text for archiving or editing.
• Reading text from infographics, memes, social media posts, or presentation slides.
• Extracting data from legacy printed reports, forms, or tables for entry into digital systems.