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Home Programming Tools Image to Text
🖼️ OCR ✅ 100% Free 🔒 100% Private

Image to Text Converter

Extract text from any image instantly — fully in your browser using Tesseract.js. No uploads, no server, no API keys. Your image never leaves your device.

Upload Image
🖼️
Drop your image here
or browse to upload  ·  JPEG, PNG, WebP, BMP, TIFF  ·  Max 20 MB
Preview
Change image
Language:
Mode:
🔍
Reading your image…
Initialising OCR engine
0%
⚠️
Extraction Failed
An error occurred.
Words
Characters
Lines
Confidence
Extracted Text
📊 Extraction Stats
Words
Chars
Lines
Confidence
🔒 100% Private

All OCR runs entirely in your browser using Tesseract.js (WebAssembly). Your image is never uploaded to any server. Zero data leaves your device.

✅ Works Best With
Printed documents & scanned pages
Screenshots of text and UI
Invoices, receipts & forms
Book pages & articles
Signs, labels & notices
16 languages supported
💡 Tips for Best Results
Use high-resolution, sharp images
Good contrast between text & background
Select the correct language before extracting
Straighten tilted images before uploading
PNG gives slightly better accuracy than JPEG
Use "Accurate" mode for complex documents

What is Image to Text (OCR)?

Image to Text, also known as Optical Character Recognition (OCR), detects and extracts written or printed text from image files. This tool uses Tesseract.js — the leading open-source OCR engine compiled to WebAssembly — running entirely inside your browser. No data ever leaves your device. No server. No API key.

Supported Image Types & Use Cases

  • Screenshots — UI text, error messages, chat logs, social posts, terminal output.
  • Scanned documents — Contracts, invoices, receipts, letters, and forms saved as images.
  • Photos of text — Signs, book pages, whiteboards, menus, packaging labels.
  • Multilingual content — 16 languages including Chinese, Japanese, Arabic, Hindi, and Russian.
  • Printed forms and tables — Structured data grids and labelled fields.

Frequently Asked Questions

No — absolutely not. All OCR processing runs inside your browser using Tesseract.js (WebAssembly). Your image bytes never leave your device. This makes the tool completely private and safe for sensitive documents.
On first use, Tesseract.js downloads the language training data for your selected language (typically 3–10 MB). This is cached in your browser afterwards so subsequent extractions are much faster. The WebAssembly engine also loads once and stays in memory for the session.
Tesseract achieves 95–99% accuracy on clear, high-contrast printed text at good resolution. Accuracy drops with blurry images, unusual fonts, handwriting, or low contrast. Use "Accurate" mode and PNG format for best results on complex documents. The confidence score shown after extraction gives you a quality indicator.
Fast mode (default) uses Tesseract's LSTM engine in a quick configuration — great for most clear images. Accurate mode uses a more thorough recognition pass that takes longer but produces better results on complex layouts, small text, or mixed fonts. For simple screenshots, Fast is usually sufficient.
JPEG, PNG, WebP, BMP, GIF, and TIFF images up to 20 MB. PNG generally gives better OCR accuracy than JPEG because it is lossless — JPEG compression can blur fine text detail. If you have a PDF, export individual pages as PNG images first using any PDF viewer or converter.
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