ImagePDF.Tools
Image to Text, OCR

Extract text from images. Instantly, privately.

Pull readable text out of any image using Tesseract OCR, running entirely in your browser. No upload, no account, 100+ languages supported.

OCR language
Processing securely on your device, no data sent to any server

Drop your image here

JPG · PNG · WebP · GIF · BMP · up to 50 MB

Privacy Note: We use your browser's hardware to process this file. Your image stays on your computer throughout the entire process, nothing is transmitted.
No upload·100% private·Instant
How it works

Three steps. Done in your browser.

Drop your image

Upload a JPEG, PNG, WebP, GIF, or BMP file by clicking or dragging onto the tool. Paste from clipboard also works.

OCR scans the image

Tesseract.js, a WebAssembly OCR engine, runs entirely in your browser. No upload happens. A progress bar shows extraction status.

Copy or save the text

The extracted text appears instantly. Copy it to your clipboard or save it as a .txt file. Process multiple images at once.

Use cases

When you need text out of an image.

OCR turns any image containing text into editable, searchable content. Here are the most common situations where it saves significant time.

Screenshots you cannot select

Copying text from a screenshot of a locked PDF, website, or application is impossible without OCR. Drop the screenshot and get plain text in seconds.

Scanned documents and receipts

Digitise paper receipts, invoices, contracts, or scanned books. Extract the text and paste it directly into spreadsheets or documents.

Slides and handout photos

Photographed a conference slide or classroom handout? Extract every word for notes, summaries, or accessibility without manual retyping.

Business cards and contact info

Photograph a business card and extract the name, phone, email, and address directly. Saves manual entry when creating contacts.

Infographics and charts

Labels, axis values, and annotations inside charts or infographics are part of the image. OCR lifts them out so you can quote, reference, or analyse them.

Whiteboard and meeting photos

Convert a photo of a whiteboard session into typed notes. Works on printed handwriting, bullet lists, diagrams with labels, and URLs.

How it works under the hood.

Unlike cloud OCR services that upload your image to a remote server for processing, this tool runs Tesseract.js entirely inside your browser tab. Tesseract.js is a WebAssembly port of the open-source Tesseract OCR engine, originally developed at Hewlett-Packard and now maintained by Google.

The engine analyses pixel patterns against trained language models to identify characters, assembles them into words and lines, and returns extracted text with a confidence score per word. Language model data is fetched once from a CDN and cached in your browser for offline use thereafter.

Your image never leaves your device. There is no upload, no server, and nothing stored beyond your browser cache.

Common questions

Questions answered.

What is OCR?
OCR stands for Optical Character Recognition. It is a technology that reads printed or handwritten text from images and converts it into machine-readable text you can copy, search, and edit.
Which image formats are supported?
The tool supports JPEG, PNG, WebP, GIF, and BMP image files with no file size limit.
Which languages are supported?
The tool supports 100+ languages in Tesseract.js, including English, French, German, Spanish, Arabic, Chinese (Simplified and Traditional), Japanese, Korean, Hindi, Russian, and many more. Select your language from the dropdown before extracting.
Is my image uploaded to a server?
No. All OCR processing runs locally in your browser using Tesseract.js, a WebAssembly-powered OCR engine. Your image never leaves your device.
How accurate is the text extraction?
Accuracy depends on image quality. Clear, high-contrast images with standard fonts typically achieve 90-99% accuracy. Blurry, low-resolution, or handwritten text may produce lower accuracy. Each result shows a confidence score.
Can it extract text from screenshots?
Yes. Screenshots are one of the best inputs for OCR because they typically have clean, sharp text at consistent font sizes and high contrast.
Can it read handwritten text?
Tesseract.js is optimised for printed text. Neatly written block letters may be partially recognised, but cursive and irregular handwriting will likely produce poor results.
What output format is the extracted text?
You can copy the text to your clipboard or save it as a plain .txt file.
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