Image to Text OCR

How to Extract Text from Images

Converting images to editable text takes just a few simple steps:

1. Upload your image — Drag and drop a JPG, PNG, WebP, BMP, or GIF file onto the upload area, or click to browse your device. Screenshots work great too — try our Screenshot to Text tool for an optimized experience.
2. Select language — Choose the language of the text in your image from the dropdown. The tool supports English, Bengali, Spanish, French, German, Chinese, Japanese, Arabic, and Hindi.
3. Click Extract Text — Hit the extract button and watch the progress bar as the OCR engine processes your image in real time.
4. Review results — Check the extracted text, character count, word count, line count, and confidence percentage. For handwritten content, also try our Handwriting to Text tool.
5. Copy or download — Use the copy button to send text to your clipboard, or download it as a .txt file. For scanned PDFs, you can also use our PDF to Text tool.

Features

• Client-side OCR processing — images never leave your browser
• Support for 9 languages including English, Chinese, Japanese, and Arabic
• Real-time progress bar showing recognition status
• Confidence score to gauge extraction accuracy
• Drag and drop or click to upload images
• Supports JPG, PNG, WebP, BMP, and GIF formats
• One-click copy to clipboard with visual feedback
• Download extracted text as a plain .txt file
• Character, word, and line count statistics
• Image preview before and after extraction

Benefits

Common Use Cases

Best Practices

• Use high-resolution images (300 DPI or higher) for the best OCR accuracy. Higher resolution means clearer character recognition.
• Ensure good contrast between text and background. Black text on white backgrounds produces the most reliable results.
• Crop the image to focus only on the text area before uploading. You can use our Image Cropper tool to prepare your images.
• Select the correct language before extracting. The OCR engine uses language-specific models, so matching the text language improves accuracy significantly.
• For multi-language documents, run the OCR once per language section and combine the results manually for the best output.
• Straighten rotated or skewed images before processing. Crooked text reduces accuracy. Many phone scanner apps auto-straighten images.

Common Mistakes to Avoid

• Using low-resolution images — blurry or pixelated text leads to poor recognition accuracy.
• Selecting the wrong language — this is the most common cause of low accuracy. Always match the language to your image content.
• Not checking the confidence score — always review the confidence percentage to know if manual correction is needed.
• Expecting perfect results from handwritten text — handwritten content varies significantly and may require manual editing.
• Ignoring image preprocessing — rotating, cropping, or adjusting contrast before OCR can dramatically improve results.