Image to Text (OCR)

Extract text from images, screenshots, and scanned documents using OCR. Free and private.

📁
Drag & drop your image here
or
Supports JPG, PNG, WebP, BMP, GIF
🔒 OCR runs entirely in your browser — images are never uploaded
Advertisement

How to Extract Text from Images (OCR)

Turn printed text in photos, screenshots, and scanned documents into editable text.

1

Upload Your Image

Drag and drop a JPEG, PNG, or WebP image onto the upload area. Works with photos, screenshots, scanned documents, and slides.

2

Select Language (Optional)

Choose the primary language of the text in your image. This helps the OCR engine improve accuracy for language-specific characters and words.

3

Extract Text

Click Extract Text. The Tesseract.js OCR engine analyzes the image and converts recognized characters to digital text — all in your browser.

4

Copy or Edit the Result

The extracted text appears in the output area. Review and correct any errors, then copy it to your clipboard or paste it into a document.

Why Use OCR to Extract Text?

Turn uneditable image-based text into searchable, copyable, and editable content.

📄

Digitize Paper Documents

Convert scanned contracts, receipts, forms, and business cards into editable text without retyping a single word.

📸

Extract from Screenshots

Pull text from screenshots of error messages, web pages, or app interfaces where copying directly isn't possible.

🌍

Multiple Languages

Recognizes text in English, Spanish, French, German, Chinese, Japanese, and many more languages using Tesseract's language models.

🔒

100% Private

OCR processing runs entirely in your browser using Tesseract.js. Your images and extracted text never leave your device.

Frequently Asked Questions

Accuracy depends heavily on image quality. Clear, high-contrast printed text in a clean font typically achieves 95%+ accuracy. Handwriting, low-resolution scans, unusual fonts, or skewed text will reduce accuracy. For best results, use images with at least 150 DPI and good contrast between text and background.

Tesseract.js has limited handwriting recognition. It performs best on printed, typed text. For handwritten notes, dedicated handwriting OCR models (like Google Docs' built-in OCR or specialized services) will deliver much better results.

Yes — first convert your PDF pages to images using our PDF to JPG converter, then run each image through the OCR tool here to extract the text.

Advertisement