Image to Text OCR Tool Upload an image, extract text locally — nothing ever leaves your device

Upload Image

Drag & drop an image here, or click to select a file

Supports JPG, PNG, WEBP, BMP formats

🔒 Your image is processed only inside your browser — it is never uploaded to any server

🔒 Why choose this tool? Genuinely 100% on-device processing

Many "online OCR" tools claim to protect your privacy, yet what actually happens is your image gets uploaded to their server for processing — often paired with an hourly file-count limit and a signup wall pushing paid plans. This tool uses the open-source Tesseract.js engine, running entirely inside your browser via WebAssembly. Your image never leaves your device: no upload, no server logs, no usage limit.

  • No upload: all processing happens locally in your browser
  • No signup wall: no account required, no personal data collected
  • No hourly limit: recognize as many images as you like, completely free

What is the Image to Text OCR Tool?

This is a free online image to text converter that extracts text from images, screenshots, or scanned documents and turns it into plain text you can copy and edit. You may have already tried legacy OCR sites like onlineocr.net or img2txt.com — but a closer look reveals that while they advertise "privacy protection," what actually happens is your image gets uploaded to their server for processing, often paired with an hourly file-count limit and a signup wall pushing paid features. This tool uses Tesseract, the industry-standard open-source OCR engine, via its browser port Tesseract.js — recognition runs 100% inside your browser using WebAssembly, so your image never leaves your device from upload to result.

A Quick Primer on OCR Technology

Optical Character Recognition (OCR) is the technology that converts images of text into machine-readable data, widely used for document digitization, business card scanning, and invoice processing. Traditional OCR services are server-based and require uploading your file to the cloud. Tesseract.js changes that by using WebAssembly to run Google's Tesseract OCR engine directly inside the browser — the exact technical foundation that makes this tool's "zero upload" claim possible.

How to Use It

  1. Upload an image containing text (a screenshot, photo, or scanned document all work).
  2. Select the language of the text in the image (it defaults to your current site language, but you can switch it manually).
  3. If the image is blurry or has heavy background noise, try enabling grayscale or contrast boost.
  4. Click "Start Text Recognition" and wait for the progress bar to finish (the first run downloads a language model; later runs are cached and faster).
  5. The recognized text appears in an editable box — click "Copy Text" to paste it anywhere.

Frequently Asked Questions (FAQ)

Q1: Is my image really never uploaded anywhere?

Correct. Recognition runs entirely through Tesseract.js inside your browser using WebAssembly. Your image is only read into browser memory for processing — it is never transmitted over the network to any server. You can open your browser's developer tools and inspect network requests: apart from downloading the language model file, no image data is ever sent out.

Q2: Why does the first run take longer?

The tool needs to download the trained data file (.traineddata) for the selected language, typically a few to a dozen MB depending on the language. Once downloaded, your browser caches it automatically, so subsequent recognitions in the same language will be much faster without re-downloading.

Q3: What if the recognition result isn't accurate?

Try enabling "Grayscale" or "Contrast boost" — these help especially with busy backgrounds, faint text, or uneven lighting. Also double-check the language selection: the language of the text in the image doesn't necessarily match your site's UI language, so switch it manually if needed.

Q4: What image formats are supported?

Currently JPG, PNG, WEBP, and BMP are supported. For best results, use higher-resolution images with clearly visible text.