Thairath English transforms Thai-language news into high-quality English content using an end-to-end AI translation pipeline.

🌍 Thairath English – AI-Powered News Translation Platform

Developed an

AI-driven news platform

that automatically translates Thai news content into English, enabling Thairath to reach a global audience through scalable and efficient content localization.

📚 Overview

Thairath English transforms Thai-language news into high-quality English content using an

end-to-end AI translation pipeline

The system is deeply integrated with Thairath’s CMS, allowing:

Automatic detection of new Thai articles
AI-powered translation into English
Seamless publishing to the English content platform

This creates a fully automated workflow that significantly reduces manual effort while maintaining translation quality.

🚀 Key Features

End-to-End AI Translation Pipeline
Fully automated process from content ingestion → translation → publishing
LLM-Based Translation System
Uses large language models for high-quality, context-aware translation
CMS Integration
Direct connection with Thairath’s content system for real-time syncing
Automated Content Workflow
Eliminates manual steps in translation and publishing
Performance & Cost Optimization
Designed to scale efficiently while minimizing operational costs

🛠️ Tech Stack

AI/LLM Integration:
Large Language Models (LLMs) as GPT-4.1 mini
Backend System:
Node.js services
Database:
MongoDB
Integration:
CMS-driven automated pipeline
Architecture:
Scalable AI processing + content synchronization system

👨‍💻 Responsibilities

Designed and built the
end-to-end AI translation system
integrated with CMS
Researched, evaluated, and
tuned LLM models and prompts
for optimal translation quality
Optimized
performance and cost efficiency
across the pipeline
Implemented
automated workflow for content translation, processing, and syncing
Ensured
reliability and scalability
of the translation system

🎯 Impact

Enabled
real-time global content distribution
for Thai news
Reduced manual translation workload through
automation
Achieved a balance between
translation quality, speed, and cost efficiency
Established a scalable foundation for
AI-driven media platforms