This content originally appeared on DEV Community and was authored by Mohamed Ibrahim
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 itโs 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.
๐ง The Problem
OCR (Optical Character Recognition) technology is widely available, but many existing solutions are either too complex, require paid services, or donโt 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
๐ก 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.
โจ Features
๐ Multi-language Support
Extract text in multiple languages like English, Arabic, Spanish, French, and more.
๐ค Export Options
Users can export the extracted text in .txt, .pdf, or .md formats.
๐ผ๏ธ Image Upload
Supports file selection and drag-and-drop image uploads.
๐ Image Preprocessing (Upcoming)
Enhances OCR accuracy with grayscale conversion and cropping.
๐ถ๏ธ Dark Mode
A seamless light and dark theme experience.
๐ฑ Responsive Design
Optimized for both mobile and desktop devices.
๐ ๏ธ Tech Stack
- Frontend: Next.js, Tailwind CSS
- OCR Engine: Tesseract.js
- File Export: jsPDF
โ๏ธ How I Built It
-
Setting Up Next.js
- Installed and configured Next.js and Tailwind CSS.
-
Integrating Tesseract.js
- Used Tesseract.js to process images and extract text on the client-side.
-
Building the UI
- Created a user-friendly interface with drag-and-drop support.
-
Adding Export Options
- Implemented text, PDF, and Markdown export using jsPDF.
-
Enhancing with Preprocessing (Upcoming)
- Working on grayscale conversion and cropping for better OCR accuracy.
๐ฆ How to Use
1๏ธโฃ Clone the Repository
git clone https://github.com/Mo-Ibra/imagetxt-to-txt
cd imagetxt-to-txt
2๏ธโฃ Install Dependencies
npm install
3๏ธโฃ Run the Development Server
npm run dev
Visit http://localhost:3000 to view the app.
๐ Try It Out!
The project is available on GitHub, and Iโd love your feedback and contributions!
๐ GitHub Repo
And you can check the demo from ๐ here
๐ 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! ๐
๐ฌ Let me know what you think in the comments, and feel free to contribute! ๐
This content originally appeared on DEV Community and was authored by Mohamed Ibrahim

Mohamed Ibrahim | Sciencx (2025-03-16T18:45:01+00:00) Building an Image to Text Converter with Next.js and Tesseract.js ๐. Retrieved from https://www.scien.cx/2025/03/16/building-an-image-to-text-converter-with-next-js-and-tesseract-js-%f0%9f%9a%80/
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