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Mohamed Ibrahim
Mohamed Ibrahim

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Building an Image to Text Converter with Next.js and Tesseract.js πŸš€

Introduction

As developers, we often encounter challenges that inspire us to build solutions. One common problem I noticed was the need to extract text from images quickly and efficiently. Whether it’s scanning printed documents, extracting text from screenshots, or working with multi-language content, I needed a simple and effective solution. That's when I decided to create an Image to Text Converter using Next.js and Tesseract.js.

🧐 The Problem

OCR (Optical Character Recognition) technology is widely available, but many existing solutions are either too complex, require paid services, or don’t support multiple languages effectively. I wanted to create a tool that:

  • Is free and open-source
  • Supports multiple languages
  • Provides an easy-to-use UI
  • Allows exporting text in various formats
  • Works entirely in the browser without requiring backend processing

πŸ’‘ The Solution

I built a Next.js application that integrates Tesseract.js, a powerful JavaScript OCR engine. The app allows users to upload images and extract text instantly, supporting multiple languages and various export options.

✨ Features

🌍 Multi-language Support

Extract text in multiple languages like English, Arabic, Spanish, French, and more.

πŸ“€ Export Options

Users can export the extracted text in .txt, .pdf, or .md formats.

πŸ–ΌοΈ Image Upload

Supports file selection and drag-and-drop image uploads.

πŸ”„ Image Preprocessing (Upcoming)

Enhances OCR accuracy with grayscale conversion and cropping.

πŸ•ΆοΈ Dark Mode

A seamless light and dark theme experience.

πŸ“± Responsive Design

Optimized for both mobile and desktop devices.

πŸ› οΈ Tech Stack

  • Frontend: Next.js, Tailwind CSS
  • OCR Engine: Tesseract.js
  • File Export: jsPDF

βš™οΈ How I Built It

  1. Setting Up Next.js
    • Installed and configured Next.js and Tailwind CSS.
  2. Integrating Tesseract.js
    • Used Tesseract.js to process images and extract text on the client-side.
  3. Building the UI
    • Created a user-friendly interface with drag-and-drop support.
  4. Adding Export Options
    • Implemented text, PDF, and Markdown export using jsPDF.
  5. Enhancing with Preprocessing (Upcoming)
    • Working on grayscale conversion and cropping for better OCR accuracy.

πŸ“¦ How to Use

1️⃣ Clone the Repository

git clone https://github.com/Mo-Ibra/imagetxt-to-txt
cd imagetxt-to-txt
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2️⃣ Install Dependencies

npm install
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3️⃣ Run the Development Server

npm run dev
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Visit http://localhost:3000 to view the app.

πŸ”— Try It Out!

The project is available on GitHub, and I’d love your feedback and contributions!
πŸ‘‰ GitHub Repo

And you can check the demo from πŸ‘‰ here

🏁 Conclusion

This project has been a great learning experience in working with OCR, file handling, and UI/UX improvements. If you're looking to build a similar tool or enhance your Next.js skills, give it a try! πŸš€

πŸ’¬ Let me know what you think in the comments, and feel free to contribute! πŸ˜ƒ

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