DocuEnhance

Image to Text (OCR)

Extract text from images, scanned documents, and screenshots instantly.

Select an Image

Drop your JPG, PNG, or WebP file here

100% Private AI. Text extraction happens directly on your device.

How to extract text from images for free

1

Upload Image

Upload a photo of a receipt, document, or a screenshot. The file remains secure on your device.

2

AI Recognition

Select the language. Our browser-based Tesseract OCR engine instantly scans and identifies the characters.

3

Copy or Save

Review the extracted text. You can copy it directly to your clipboard or download it as a plain text file.

Secure Online Image to Text Converter

Optical Character Recognition (OCR) is a vital technology that translates visual representations of typed, handwritten, or printed text into machine-encoded text. Historically, high-quality OCR required expensive desktop software or paid cloud APIs. DocuEnhance bridges this gap by bringing a powerful, 100% free Image OCR engine directly into your web browser.

100% Private. Powered by Tesseract.

If you are digitizing sensitive documents like bank statements, legal contracts, or personal notes, uploading them to a random website is a severe security risk. Our tool is built using a WebAssembly port of the renowned Tesseract AI engine. Your images never leave your computer. All pattern recognition and text extraction happens locally using your device's own CPU.

Tips for the Best OCR Accuracy

While AI has improved drastically, the quality of your input image determines the quality of the text output. Follow these tips:

  • High Contrast: Ensure the text is dark and the background is light. Shadows and glare can confuse the OCR engine.
  • High Resolution: Blurry or low-resolution images yield poor results. If possible, use clear, focused photographs or high-DPI scans.
  • Correct Language: Always select the exact language written in the document from the dropdown menu to load the correct character dictionary.
  • Learn more about the history and mechanics of Optical Character Recognition on Wikipedia.

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