Image to Text Converter

Extract Text from Any Image Free Online with using OCR technology

Image to Text
Best results: Use clear, well-lit photos with good contrast. Works best on printed text, screenshots, and typed documents.
Loading OCR engine… 0%
This may take a few seconds on first run
Words:
Characters:
Lines:
Confidence:
0 characters
Enhance & Re-scan converts the image to greyscale and boosts contrast before re-running OCR. This often improves results on shadowed, faded, or low-contrast images. Click the button again to apply.

Related Tools

Every day, people encounter text they need in digital form but only have as an image. A photo of a printed document. A screenshot of an article you want to quote. A picture of a whiteboard from a meeting. A scanned certificate you need to fill out a form from. A business card photographed on your phone. A notice pinned on a wall. In all of these situations, manually retyping the text is slow, error-prone, and completely avoidable. This tool reads the text in your image and gives it to you as editable, selectable digital text — in seconds.

How to Extract Text from an Image

  1. Upload your image — Click Browse Image or drag and drop your file onto the upload area. JPG, PNG, and WebP formats are all supported.
  2. Click Extract Text — The OCR engine starts automatically. On first use, it downloads the English language model (~5 MB), which is then cached in your browser for all future uses. The progress bar shows the status in real time.
  3. Review the result — Extracted text appears in the output box along with a word count, character count, line count, and confidence score showing how accurately the text was read.
  4. Copy or download — Click Copy Text to copy everything to your clipboard instantly, or click Download .txt to save the extracted text as a plain text file.
  5. Need better accuracy? — Click Enhance & Re-scan to preprocess the image (greyscale + contrast boost) and run OCR again. This often improves results significantly for low-contrast or shadowed images.

What is OCR and how does it work?

OCR stands for Optical Character Recognition. It’s the technology that allows a computer to identify individual letters, numbers, and punctuation marks within an image and convert them into a string of digital text. The underlying engine in this tool is Tesseract — originally developed by Hewlett-Packard and maintained by Google, it is the most widely used open-source OCR engine in the world. It works by analyzing the shapes of characters in your image, matching them against trained recognition models, and assembling them into readable text in the correct order. The result is editable text that you can copy, modify, search, and use anywhere.

What types of images work best?

Printed text in clear, well-lit photos produces the most accurate results. Screenshots of websites, documents, and chat conversations work excellently — the text is already sharp and high-contrast, which is ideal for OCR. Scanned documents, typed letters, certificates, invoices, and printed forms all convert reliably. Handwritten text is a different matter — OCR engines are trained primarily on printed fonts, and handwriting accuracy varies significantly depending on how legible the handwriting is. For neatly printed handwriting, results are often usable. For cursive or highly personal handwriting styles, accuracy drops considerably.

Common use cases:

Students photograph textbook pages, lecture slides, and handwritten notes, then convert them to digital text for easier studying, searching, and sharing. Office workers deal with scanned contracts, printed invoices, and physical receipts that need to be digitized for filing, editing, or data entry. Researchers come across quotes in physical books or printed papers that they want to incorporate into digital writing without retyping. Social media users screenshot posts, stories, or comments containing text they want to save or quote. Anyone who receives a photo of a document — a form, a letter, a certificate — and needs to extract specific details rather than retyping everything by hand.

Privacy — your images stay on your device:

Most online OCR tools upload your image to a remote server for processing. That means your photo, document, or screenshot leaves your device and is processed by a third party. For personal documents, confidential business files, and private communications, that’s a real privacy risk. This tool is different — everything runs directly in your browser using WebAssembly. Your image is processed entirely on your device and is never sent to any server. No storage, no logging, no third-party access. This makes it safe to use with sensitive documents that you wouldn’t want to upload to an unknown service.

Frequently Asked Questions (FAQ)

Upload your image using this tool, click Extract Text, and the text appears immediately in the output box. Click Copy to use it anywhere. No signup or payment required.

Yes. Screenshots work extremely well because the text is sharp and high-contrast. Upload your screenshot and the OCR engine reads the text accurately in seconds.

Upload the photo and click Extract Text. For best results, ensure the document is flat, well-lit, and the text is in focus. If accuracy is low, use Enhance & Re-scan to improve contrast before re-running the extraction.

The confidence score is the OCR engine’s estimate of how accurately it read the text, expressed as a percentage. A score above 80% generally means the extracted text is reliable. Lower scores suggest the image may benefit from the Enhance & Re-scan option.

Yes. Your image is never uploaded to any server. The OCR processing happens entirely in your browser, so your files remain on your device throughout. It’s safe to use with confidential documents, personal files, and private communications.

It works best on printed text. Neatly handwritten block letters often produce usable results. Cursive or stylized handwriting is harder for the OCR engine to read accurately, and results may require manual correction.