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Image to Text (OCR)

Extract text from images, screenshots and scanned documents using OCR. Free image to text converter — no signup required.

🔍
Click or drag & drop an image
JPG, PNG, WEBP, GIF — max 10MB
💡 For best results, use clear, high-contrast images. Handwritten text may have lower accuracy.
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About the Image to Text (OCR) Tool

The Image to Text tool uses optical character recognition (OCR) to extract the words inside an image and return them as clean, editable text. Screenshots, photographs of documents, scanned pages, and images with embedded text all become copy-paste-ready content in a moment. That turns an image from a fixed picture you can only view into a resource you can edit, search, translate, quote, or reformat.

This is a genuinely everyday need. Students take a photo of a whiteboard or a page from a textbook and want the text for notes; researchers copy a passage from a PDF screenshot; marketers extract headlines from competitor ads; and remote workers pull details out of photos of business cards, signs, or receipts. Even job seekers use it to grab text from a screenshot when copy-paste is blocked on a protected document.

How to Extract Text from an Image

Upload the image by clicking the drop zone or dragging and dropping the file. For best results use the highest-resolution version you have, because OCR accuracy depends heavily on how sharp the letters are. After the image is loaded, the tool runs its recognition pass and displays the extracted text in an output box.

Review the extracted text before using it. OCR is very accurate on clear, well-lit, straight text, but it can stumble on decorative fonts, heavy shadows, tilted pages, or handwritten notes. Fix any obvious mistakes manually, then copy the cleaned text into your document, email, or notes app with a single click.

Getting the Most Accurate Results

  • Use a flat, evenly lit photo with the text in focus - glare and shadows are the main causes of misread characters.
  • Crop the image to just the text region before uploading if the document has busy graphics around it.
  • Keep the camera or scanner straight; a slightly tilted page lowers accuracy more than people expect.
  • Prefer PNG or high-quality JPG over heavy compression, which can smudge letter edges.
  • Proofread names, numbers, and URLs after extraction, since those are the fields where a single wrong character matters most.