Image to Text (OCR)
Extract text from images using AI-powered OCR — works entirely in your browser.
Drop image here or browse
How to Extract Text from Images with FreeToolPoint
- Select the language — Choose the language of the text in your image from the dropdown menu. Selecting the correct language before processing significantly improves accuracy, especially for non-Latin scripts like Chinese, Japanese, Korean, Hindi, and Arabic.
- Upload your image — Drag and drop an image file onto the drop zone, or click to browse your files. The tool supports JPG, PNG, BMP, WebP, and GIF formats. A preview of the uploaded image is displayed so you can verify you selected the right file.
- Click Extract Text — The OCR engine loads the language data and processes your image. A progress bar shows the current status. The first run for a given language may take a few extra seconds as the language model downloads and caches in your browser.
- Copy or download the result — The extracted text appears in an editable text box. You can copy it directly to your clipboard or download it as a plain text file. Review the output for any recognition errors, especially with low-quality source images.
Why Use Our Image to Text Converter
- Multi-language support — The tool recognizes text in over 10 languages including English, Spanish, French, German, Portuguese, Chinese, Japanese, Korean, Hindi, and Arabic. Each language uses a dedicated trained model optimized for that script and character set.
- Completely private OCR — All text recognition runs locally in your browser using Tesseract.js. Your images are never sent to a server, which means confidential documents, medical records, receipts, and personal notes stay entirely on your device throughout the process.
- No account or limits — Extract text from as many images as you need without signing up, paying a fee, or hitting a daily usage cap. Since the processing happens on your device, there are no server costs that would require usage restrictions.
- Multiple output options — After extraction, you can copy the text directly to your clipboard for pasting into any application, or download it as a plain text file. The text box is editable, so you can make corrections before copying or saving.
Tips for Better OCR Results
The quality of OCR output depends heavily on the quality of the input image. Use high-resolution images whenever possible, ideally 300 DPI or higher for scanned documents. Ensure the text is well-lit and the image is not blurry or skewed. Good contrast between the text and background makes a significant difference in accuracy. Dark text on a light background works best. If you are photographing a document with your phone, hold the camera steady and ensure even lighting without shadows falling across the text. For multi-column layouts like newspapers or academic papers, consider cropping to one column at a time for more accurate results. Printed text is recognized far more reliably than handwriting, though neat block-letter handwriting may produce usable results. If the initial extraction misses some text, try adjusting the image brightness and contrast before re-processing.
Frequently Asked Questions
What languages does the OCR support?
Our OCR tool supports 10+ languages including English, Spanish, French, German, Portuguese, Chinese (Simplified), Japanese, Korean, Hindi, and Arabic. Select your language from the dropdown before processing to get the most accurate results for that language's character set.
Is my image uploaded to a server?
No. All OCR processing happens entirely in your browser using Tesseract.js. Your images never leave your device, and no data is transmitted to any external server. This makes the tool safe for extracting text from sensitive documents, receipts, and personal papers.
What image formats are supported?
All common image formats are supported including JPG, PNG, BMP, WebP, and GIF. For best OCR results, use a clear, high-resolution image with good contrast between the text and background. Scanned documents at 300 DPI or higher produce the most accurate text extraction.
How can I improve OCR accuracy?
Use high-resolution images with clear, sharp text for the best accuracy. Ensure good contrast between the text and the background. Straight, well-lit images work better than skewed or shadowed ones. Printed text is recognized more accurately than handwritten text. If possible, crop the image to include only the text area before processing.
Can I extract text from handwritten notes?
The OCR engine can attempt to read handwritten text, but accuracy varies significantly depending on handwriting legibility. Neat, printed-style handwriting produces better results than cursive. For handwritten content, you may need to review and correct the extracted text manually. Printed and typed text consistently produces the most reliable results.