Image to Text OCR Free Online — Extract Text from Any Image Instantly

📄What is OCR and How Does Image to Text Work?

OCR stands for Optical Character Recognition. It is the technology that reads text from images — whether that is a photo of a document, a screenshot, a scanned receipt, a sign in a photo, or printed text photographed with a camera. OCR converts those visual characters into actual digital text that you can edit, copy, search, and use.

This tool uses Tesseract.js — an open-source OCR engine originally developed by HP and now maintained by Google — running entirely inside your browser. It processes your image locally using JavaScript, which means your image never leaves your device. There is no server, no upload, and no privacy risk.

Tesseract is one of the most accurate open-source OCR engines available. It works best on clear images with good contrast and a standard font. For handwritten text, results vary by the clarity of the handwriting. Multi-language support means you can extract text from documents in English, Arabic, Hindi, Chinese, Japanese, and 18 other languages.

📋How to Extract Text from an Image — Step by Step

💡Tips for Better OCR Accuracy

• Use high resolution images: OCR accuracy drops significantly on low-resolution images. For a document photo, 300 DPI or higher is ideal. Screenshots are usually fine as-is since screen resolution is naturally high.
• Ensure good contrast: Text needs to stand out from the background. A black text on white background gives near-perfect results. Low-contrast text on a coloured or textured background is harder to read accurately.
• Keep the image flat and straight: Tilted or perspective-distorted images reduce accuracy. If you photograph a document at an angle, try to straighten it before uploading. Use our Rotate Image tool to fix the orientation first.
• Select the correct language: This is the most impactful setting for non-English text. Tesseract uses language models to improve character recognition — Arabic selected for Arabic text versus English selected will give dramatically different results for the same image.
• Use High Contrast enhancement for printed documents: If you are scanning an old document or a faded printout, the High Contrast preprocessing mode can improve readability by boosting the difference between light and dark areas before OCR runs.
• After extraction, convert to PDF: Once you have the text, use our TXT to PDF tool to convert it into a searchable PDF document.

❓Frequently Asked Questions

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