JavaScript Developer for High-Accuracy Multi-Language OCR Tool (Tesseract.js)

🛠 Project Overview:

We are building a browser-based or hybrid SaaS tool for Optical Character Recognition (OCR) using Tesseract.js or a similar OCR solution in JavaScript. The tool should offer:

• Maximum possible OCR accuracy
• Support for handwritten and printed text
• OCR support for the following languages:
• English, Spanish, Russian, Dutch, Italian, Portuguese, Indonesian, German, French, Korean, Danish, Czech, Swedish, Polish, Romanian, Thai, Vietnamese, Turkish, Japanese, Chinese, Georgian, Finnish, Arabic

Note: The solution must not use heavy machine learning models, and should rely on Tesseract and image preprocessing optimizations.

💡 Nice to Have:

• Experience working on Tesseract (https://tesseract.projectnaptha.com/)
• Understanding of handwriting OCR challenges

📩 Deliverables:

• High-performance, accurate OCR module (React or plain JS)
• Tuning and configurations for all listed languages
• Well-documented, clean codebase and integration guide

❓ Questions to Answer in Your Application:

1. Have you previously worked with Tesseract.js? Please provide code samples or GitHub links.
2. What strategies would you use to optimize OCR accuracy in the browser?
3. What are Tesseract’s limitations with handwritten text, and how would you mitigate them without ML?
4. Have you ever worked on image preprocessing (e.g., binarization, noise reduction)? If yes, how?
5. What challenges do you foresee in implementing this OCR tool purely in the frontend?