AI Translator
The Challenge
The organization required a scalable, real-time translation solution capable of handling multiple languages and large volumes of content while preserving context and accuracy.
The goal was to deliver a platform comparable to DeepL, offering advanced linguistic capabilities within a reliable and enterprise-ready architecture.
Just like DeepL, the platform needed to propose context-aware alternative word choices and offer complete sentence rephrasing options, always maintaining the original meaning and tone.
Technologies
The Solution
Developed a cloud-native, high-performance translation app using Next.js for the frontend and Azure services for AI-powered translation, serverless compute, and scalable data management:
Azure Architecture:
- Azure Cognitive Services for AI translation
- Gpt-4 for context-aware translations and suggestions with azure foundry models
- Azure Table Storage to store translation history
Features:
- Real-time translation API
- Processing small documents
- Custom terminology support
- Translation History for users
- User-friendly interface with Next.js and React
The Result
Achieved significant resource optimization and cost reduction by leveraging existing infrastructure, eliminating the need for additional third-party subscriptions, and maximizing the efficiency of current tools and services.
Beyond cost efficiency, the platform delivered tangible user-centric value: users can translate simple documents seamlessly, share translations with other users to foster collaboration, and operate within a secure, tenant-level authentication model that ensures data isolation and enterprise-grade security.
The result is not just a translation tool, but a collaborative, secure, and scalable language platform designed to streamline workflows while maintaining full control, privacy, and operational efficiency.