Extract text from images locally.
Batch conversion · Runs entirely in your browserDrop images here or click to browse
Supported formats: JPG, PNG, GIF, WEBP, BMP, TIFF
Upload one or more images above to begin.
The Image to Text Converter is a browser-based tool that reads images and extracts the written or printed words inside them as plain, copyable text. It uses Optical Character Recognition (OCR) — the same family of technology found in document scanners and digitisation workflows — but runs entirely on your device, so no file ever leaves your browser.
You can upload a single photo or drop in a whole batch at once. The tool handles everything from crisp screenshots to phone snaps of printed pages, supporting over a dozen languages out of the box.
Batch Conversion
Upload up to hundreds of images in one go. Two parallel OCR workers process files concurrently so you're never stuck waiting for a queue.
100 % Private
All recognition runs locally in your browser using WebAssembly. Your images are never sent to a server.
12 + Languages
English, French, German, Spanish, Italian, Portuguese, Russian, Chinese (Simplified), Japanese, Arabic, Hindi, Korean and more.
Multiple Formats
Accepts JPG, PNG, GIF, WEBP, BMP, and TIFF. Drag and drop or use the file browser.
One-Click Copy & Download
Copy extracted text to the clipboard instantly, or download it as a .txt file — per file or all results at once.
Responsive Design
Works equally well on desktop, tablet, and mobile. No app installation required.
OCR bridges the gap between the physical and digital worlds. Here are the most common scenarios where this tool saves time.
Students & Researchers
Digitise textbook pages, lecture slides, or handwritten notes for easy search, editing, and citation.
Office & Administration
Convert scanned contracts, invoices, or forms into editable Word or PDF documents without retyping.
Developers & Data Teams
Extract structured data from screenshots, UI mockups, or legacy printed reports for downstream processing.
Writers & Journalists
Pull quotes from physical press releases, book pages, or printed transcripts without manual transcription.
Accessibility
Convert image-only PDFs or scanned pages into readable text that screen readers and assistive tools can process.
E-commerce & Cataloguing
Extract product information from packaging photos or printed catalogues to populate databases quickly.
Upload your handwritten image using the file browser or drag and drop. Tesseract.js will attempt to recognise the characters automatically.
For best results with handwriting:
The converter uses Optical Character Recognition (OCR), a process that analyses pixel patterns in an image to identify letters, numbers, and symbols.
Accuracy depends heavily on image quality. Under good conditions — clear typography, high resolution, good lighting — modern Tesseract achieves accuracy comparable to commercial OCR engines.
Factors that reduce accuracy: low resolution, heavy compression artifacts, skewed or rotated text, unusual fonts, mixed languages in the same image, or faint ink. Always proofread the output before using it in critical documents.
If a PDF contains scanned pages (i.e. images rather than selectable text), standard copy-paste won't work. The recommended workflow is:
All processing happens locally in your browser. No files are uploaded to any server.