JPG to Text (OCR)

Extract Text from JPG Images Free (OCR)

OCR (Optical Character Recognition) reads the text inside an image and converts it into editable characters. This free tool uses Tesseract.js to extract text from JPG and other image formats entirely in your browser. No image is sent to any server. You get the extracted text in seconds.

You can use this tool on scanned documents, screenshots, photos of books, signs, printed forms, and any other image that contains readable printed text.

The extracted text appears in an editable area. Copy it directly or download as a .txt file.

How OCR Works

OCR analyzes the shapes of characters in an image and matches them to known patterns in a trained language model. The engine scans the image, identifies individual characters, groups them into words and lines, and outputs the result as text.

This tool runs Tesseract.js in your browser using WebAssembly. No server processing is needed. The OCR engine runs entirely locally on your device. Modern OCR engines like Tesseract use machine learning models trained on millions of text samples to recognize a wide range of fonts and text styles with high accuracy when the source image is clear.

Common Uses for JPG to Text OCR

Scanning physical documents. Photos of receipts, invoices, contracts, and forms can be converted to editable text for filing, analysis, or data entry.

Digitizing books and articles. Scanned pages from books, journals, and magazines become searchable, copyable text.

Screenshots. Extract text from screenshots of websites, error messages, or applications that do not allow copying.

Business cards. Photograph a business card and extract the contact information as text.

Signs and labels. Photograph text on physical signage or product labels to capture the information digitally.

Accessibility. Convert image-based content into text that can be read by screen readers for visually impaired users.

Tips for Better OCR Accuracy

Use high-resolution images. Images with at least 300 DPI produce significantly better results than low-resolution photos.

Ensure good contrast. Dark text on a light background extracts more accurately than low-contrast or colored text.

Keep text horizontal. OCR works best on straight, horizontal text. Tilted or curved text reduces accuracy.

Avoid glare and shadows. When photographing physical documents, ensure even lighting without reflections or shadows over text.

Use simple fonts. Standard printed fonts extract more accurately than decorative or handwritten fonts.

Limitations

Handwriting. Handwritten text is difficult for OCR engines to recognize accurately. Printed text is much more reliable.

Low-quality images. Blurry, low-resolution, or poorly lit images produce inaccurate results. Always use the best quality image available.

Complex layouts. Multi-column text, tables, and mixed text-image layouts may not extract in perfect reading order.

Language. This tool uses an English language model. Non-English text may extract with lower accuracy.

Related Tools

• PNG to Text (OCR) – Extract text from PNG images.
• PDF to Text – Extract text from PDF documents with a text layer.
• JPG to PDF – Convert images to PDF documents.
• TIFF to Text (OCR) – Extract text from TIFF scanned documents.

Frequently Asked Questions