🚀 Extract text from images instantly with our powerful OCR (Optical Character Recognition) technology.
- Instant Text Extraction: Upload an image and get text results in seconds
- Multiple Upload Methods:
- Drag and drop
- Click to browse
- Paste from clipboard
- Load from URL
- Format Support: PNG, JPG, JPEG
- Free API Access: Public API available at imageocr.mysrv.uz
- Fast & Accurate: Powered by advanced OCR technology
- No Registration Required: Start extracting text immediately
- Website: ocr.yaxyobek.uz
- API Documentation: imageocr.mysrv.uz/api-docs
- Contact: @mryaxyobek
npm install
npm run devnpm run build
npm run preview- Vite - Fast build tool and dev server
- Vanilla JavaScript - No framework dependencies
- Modern CSS - Clean and responsive design
- OCR API - Powered by imageocr.mysrv.uz
image-ocr-client/
├── public/
│ ├── robots.txt
│ ├── sitemap.xml
│ └── manifest.json
├── src/
│ ├── fonts/
│ ├── scripts/
│ │ └── index.js
│ └── styles/
│ └── index.css
├── index.html
├── vite.config.js
└── package.json
Free public API endpoint:
const apiEndpoint = "https://imageocr.mysrv.uz/api/ocr/process";
// Example: Upload image for OCR
const formData = new FormData();
formData.append('image', imageFile);
fetch(apiEndpoint, {
method: 'POST',
body: formData
})
.then(response => response.json())
.then(data => console.log(data.text));- Meta tags for all major social platforms
- Structured data (JSON-LD)
- Semantic HTML
- Accessibility features (ARIA labels)
- Sitemap and robots.txt
- PWA manifest
- Fast loading times
Install the app on your device for offline access and a native-like experience.
Contributions, issues, and feature requests are welcome!
ISC License
Yaxyobek
- Telegram: @mryaxyobek
- GitHub: @yaxyobekuz
⭐ Star this repo if you find it useful!