Image to Text Converter (OCR)
Extract text from photos, scans, and screenshots using real optical character recognition. Supports seventeen languages, multi language documents, and automatic image cleanup for better accuracy.
Click or drop an image (JPG, PNG, WEBP, BMP)
Select one or more languages present in the image. Selecting extra unused languages can slow recognition down slightly.
How This Image to Text Converter Tool Works
This tool runs Tesseract.js, a JavaScript port of the open source Tesseract OCR engine originally developed at HP and now maintained by Google, entirely inside your browser using WebAssembly. No image data ever needs to leave your device for recognition to happen.
Before recognition, an optional preprocessing pass converts your image to grayscale and stretches the contrast, which noticeably improves accuracy on low quality scans, phone photos taken at an angle, or screenshots with busy backgrounds. You can select multiple languages at once for documents that mix scripts, for example an English caption under a Japanese heading.
What This Tool Does
How to Extract Text From an Image
Upload your image
JPG, PNG, WEBP, and BMP are all supported.
Pick your languages
Select every language present in the image.
Leave enhancement on
Recommended for scans and photos of any quality.
Extract and copy
Click Extract Text, then copy or download the result.
Supported Languages Reference
Seventeen languages are available, each backed by a dedicated Tesseract trained data file loaded only when you select it, keeping the tool fast for single language use.
FAQ: Image to Text Converter (OCR)
Accuracy depends heavily on image quality. Clear, well lit, high resolution text typically recognizes at ninety five percent or higher. Blurry photos, low contrast scans, or handwriting reduce accuracy, handwriting recognition in particular is not this engine’s strength. The result screen shows a confidence score so you can judge each extraction.
Yes, check every language present in your image before extracting. The engine loads a trained model for each selected language and combines its analysis, which works well for bilingual documents but does add a small amount of extra processing time per additional language.
It converts your image to grayscale and stretches the contrast so dark text stands out more clearly against its background. This is especially helpful for phone photos with uneven lighting or shadows, and can noticeably increase the confidence score compared to running the raw image directly.
Yes, the result appears in an editable text area, so you can fix any misread characters before copying it to your clipboard or downloading it as a plain .txt file.
No. Recognition runs through a WebAssembly build of the Tesseract OCR engine loaded into your browser. Your image is processed on your own device and never transmitted anywhere.