Extract text from any image instantly with private, browser-based OCR — no sign-up, no uploads, no backend required.
ImageToText.fun is a modern OCR web app for screenshots, scanned documents, receipts, handwriting, legal pages, and multilingual text extraction. Everything runs locally in the browser, so users get fast results without sending images to a server.
ImageToText.fun is a privacy-first OCR platform built to make text extraction simple, fast, and accessible.
Unlike traditional OCR tools that require server uploads, ImageToText.fun processes images entirely in the browser using WebAssembly-powered OCR. That means documents stay on-device, results arrive quickly, and the entire product can run as a zero-backend static application.
The platform is designed for real-world OCR workflows, from basic image-to-text extraction to more specialized document processing tasks.
Website: https://www.imagetotext.fun/
GitHub: https://github.com/rabeeanaseer6-lab/infinite-tool-master
screenshots/
├── homepage.png
├── ocr-workspace.png
├── tool-selection.png
└── extracted-text.pngImageToText.fun is built around a few core product principles:
-
Privacy by default
Images are processed locally in the browser and never need to be uploaded to a server. -
Fast, zero-friction OCR
Users should be able to extract text in seconds without creating an account. -
Built for real-world documents
The product is designed for screenshots, receipts, handwriting, legal documents, and more. -
Deployable anywhere
The app requires no backend infrastructure and can be hosted as a pure static site.
- 100% free and no sign-up required
- Client-side OCR powered by Tesseract.js
- Images never leave the browser
- No server uploads and no data storage
- Works offline after initial load
- Supports 50+ languages
- Handles handwriting, receipts, legal documents, and general image text
- Built-in text review and editing experience
- Export to clipboard, TXT, and formatted PDF
- 15+ specialized OCR tools powered by a shared OCR engine
- Zero-backend architecture for fast static deployment
ImageToText.fun follows a simple workflow:
- Upload an image from your device, drag and drop, paste from clipboard, or use an image URL
- Choose the document language
- Process the image locally in the browser
- Review and edit the extracted text
- Export the result anywhere you need
All OCR runs locally in the browser using WebAssembly. Images are never uploaded to a remote server, which improves privacy and removes backend complexity.
The platform includes 15+ specialized OCR tools powered by a shared OCREngine component, making the system easier to scale and maintain.
The application supports multilingual OCR workflows, including global languages such as English, Arabic, Chinese, Hindi, Japanese, and more.
ImageToText.fun is a pure static web app with no required backend, making deployment simple, fast, and cost-efficient.
| Technology | Version | Purpose |
|---|---|---|
| React | 19 | UI framework |
| TypeScript | 5 | Type safety |
| Vite | 6 | Build tool & dev server |
| Technology | Version | Purpose |
|---|---|---|
| Tesseract.js | 7.0.0 | Client-side OCR engine (WebAssembly) |
| jsPDF | 4.2.1 | PDF generation & export |
| Technology | Version | Purpose |
|---|---|---|
| Tailwind CSS | 4 | Utility-first CSS framework |
| shadcn/ui | — | Accessible component library |
| Radix UI | Various | Headless UI primitives |
| Lucide React | Latest | Icon library |
| Framer Motion | Latest | Animations |
| tailwind-merge | Latest | Conditional class merging |
| class-variance-authority | Latest | Component variant management |
| Technology | Version | Purpose |
|---|---|---|
| Wouter | 3.3.5 | Client-side routing |
| TanStack React Query | Latest | Server state management |
| React Hook Form | 7.55.0 | Form handling |
| Zod | Latest | Schema validation |
| Technology | Version | Purpose |
|---|---|---|
| date-fns | 3.6.0 | Date formatting utilities |
| Recharts | 2.15.2 | Charts & data visualization |
| Embla Carousel | 8.6.0 | Touch-friendly carousels |
| next-themes | 0.4.6 | Dark/light mode theming |
| Sonner | 2.0.7 | Toast notifications |
| react-icons | 5.4.0 | Extended icon set |
| Technology | Purpose |
|---|---|
| Vercel | Hosting & deployment |
| pnpm | Fast package manager |
| GitHub | Version control |
ImageToText.fun is built for users who want a modern OCR experience without privacy tradeoffs.
It is especially useful for:
- extracting text from screenshots
- reading printed documents
- digitizing receipts and invoices
- processing handwritten notes
- converting legal or business documents into editable text
- handling multilingual OCR directly in the browser
- WebAssembly OCR for fast local execution
- Static frontend architecture with no backend required
- Composable UI system using Tailwind CSS, shadcn/ui, and Radix UI
- Strong typing and validation with TypeScript and Zod
- Scalable frontend structure powered by Vite and reusable components
- Flexible export workflow for TXT and PDF output
Make sure you have:
- Node.js
- pnpm
git clone https://github.com/rabeeanaseer6-lab/infinite-tool-master.git
cd infinite-tool-masterpnpm installpnpm devpnpm buildpnpm previewReplace the script names above if your project uses different commands.
A typical frontend structure for this project may look like:
src/
├── components/
├── features/
├── hooks/
├── lib/
├── pages/
├── styles/
└── main.tsxUpdate this section to match your exact repository structure if needed.
Privacy is one of the core strengths of ImageToText.fun.
Because OCR happens directly inside the browser:
- images are not uploaded to an external server
- extracted text can remain fully local
- there is no backend storage requirement
- deployment stays simple and efficient
This makes the product especially useful for privacy-conscious users handling personal or sensitive documents.
ImageToText.fun is designed for:
- students extracting notes from images
- professionals digitizing scanned documents
- freelancers converting screenshots into editable text
- users handling receipts and invoices
- legal or admin workflows requiring text extraction
- privacy-conscious users who do not want file uploads
Potential future improvements include:
- batch OCR for multiple images
- advanced layout detection
- improved handwriting recognition workflows
- side-by-side original image and extracted text comparison
- export presets for business and academic documents
- local-only OCR history
- enhanced mobile capture experience
Contributions are welcome.
To contribute:
- Fork the repository
- Create a feature branch
- Make your changes
- Commit with clear messages
- Open a pull request
If you are planning a larger feature or product change, opening an issue first is encouraged.
This project is licensed under the MIT License.
Built for fast OCR, stronger privacy, and a better image-to-text experience.