How to Extract Text from Image (OCR) — 100% Private, In‑Browser

Guides · Image · Updated 2026

Have you ever snapped a photo of a document or a whiteboard full of notes and wished you could copy‑paste the text instead of typing it all over again? That’s exactly what OCR (Optical Character Recognition) does — it reads the letters inside an image and turns them into editable text. Unlike most online OCR tools that upload your files to a server, our Toolzo OCR tool runs entirely inside your browser. Your image never leaves your device, making it ideal for sensitive documents, private notes, or business receipts.

What is OCR and how does it work?

OCR uses machine learning models trained on millions of character samples. When you upload an image, the model analyses the shapes, contrasts, and patterns to recognise letters and words. Tesseract.js, the library we use, was originally developed by HP and is now maintained by Google. It supports over 100 languages — our tool covers English, Hindi, Spanish, French, and German — and even works on low‑contrast text, though clear images produce far better results.

Works with JPG, PNG, WebP, and pasted screenshots (Ctrl+V).
No uploads — the model runs completely in your browser.
First‑time language model download (~2 MB), then works offline.

Step‑by‑step: extract text from an image

Open the Image to Text tool.
Select the language of the text in your image (e.g., English or Hindi).
Drag & drop your image onto the upload area, or simply press Ctrl+V if you’ve already copied a screenshot to the clipboard.
Wait for the progress bar to reach 100%. The tool shows a live status — “Loading OCR engine…” initially, then “Recognizing text…” with a real‑time percentage.
The extracted text appears in the textarea. Use the Copy button to grab it, or Download it as a .txt file.

💡 Tip: For the most accurate results, use high‑contrast images taken from straight above the document. Skewed, blurry, or heavily shadowed photos will produce garbled text. A scanner app like Google Stack can pre‑process the image before you run it through OCR.

When in‑browser OCR beats online services

Uploading a photo of your ID card, bank statement, or passport to a random website is a privacy risk. With client‑side OCR, the processing is done by your own device’s CPU. The only downside is the one‑time download of the language model, but after that the tool works even when you’re offline. For quick tasks like extracting text from a screenshot or a scanned receipt, it’s the safest and fastest option.

Frequently Asked Questions

Can the tool read handwriting?

Tesseract.js is optimised for printed text. Simple, clean handwriting might be partially recognised, but cursive or stylised writing will likely fail. For handwriting, specialised services are still better.

Why does the first recognition take longer?

The tool needs to download a language data file (around 2 MB) from the CDN. This happens only once per language per browser session; subsequent recognitions are instant.

Does it work on mobile phones?

Yes, but the processing may be slower on older phones because OCR is computationally heavy. We recommend using the tool on a desktop or a recent smartphone for large images.

Can I extract text from a PDF?

This tool works on image files. If your PDF is scanned (images inside), first extract a page as a JPG using our PDF tools or a screenshot, then run the OCR.

Is it free and private?

Yes — the tool runs entirely in your browser, free, with no sign‑up and nothing uploaded to a server.

Try the Image to Text Tool