What is OCR?
OCR (optical character recognition) turns the pixels of a scanned page or photo into text: it finds lines and words, recognises characters with a model trained per script, and produces text you can search, copy and index. Accuracy depends on resolution (300 dpi is the usual target), contrast, skew and the script — Arabic and Devanagari need their own language models — and the output should be proofread where it matters.
How to use Image to Text
- Drop one or more images.
- Choose the language of the text.
- Click "Read text".
- Copy the text or download it.
Image to Text features
- JPG, PNG, WebP, GIF, BMP — up to 50 at once
- English, Arabic, Hindi
- Confidence per image
- Copy or download as .txt
- EXIF rotation applied before recognition
- Local processing
Image to Text example
A photographed receipt
Input:
receipt.jpg, language: EnglishOutput:
The itemised lines and totals as text — 94% confidenceFrequently asked questions about Image to Text
Which image formats can I use?
JPG, PNG, WebP, GIF and BMP, up to 50 files in one run. HEIC from an iPhone must be converted first (Photos can export JPG).
How do I get better results?
Crop to the text, keep the image straight, avoid shadows and glare, and use a resolution of about 300 dpi — roughly 1,500 pixels across an A4 page. Choose the language printed in the image; a wrong language halves the accuracy.
Does it read handwriting?
No. Tesseract is trained on printed text; handwriting comes out as noise. Neat block capitals sometimes work, cursive does not.
Is the text sent anywhere?
No. Recognition runs in your browser with WebAssembly; the image and the text stay on your device.
Is my PDF uploaded to a server?
No. The file is opened and processed by your browser with WebAssembly and JavaScript; nothing is sent to Mutqan Soft or anyone else. Close the tab and the file is gone. Downloading the result needs a free account — no subscription, no payment.
Technical notes
Images are normalised in the browser (orientation, PNG for lossless input) and recognised by the same self-hosted Tesseract engine as the PDF tools, one worker per run. Nothing is fetched from a CDN.
References
- Tesseract OCR documentationThe open-source OCR engine: supported languages and scripts, image preparation and accuracy factors.
- PDF Reference — ISO 32000-1:2008 (PDF 1.7), Adobe copyThe freely readable PDF 1.7 specification: page trees, content streams, metadata, permissions and the standard security handler.