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Case Study
GetLingo AI
Document translation pipeline with real-time email translation and meeting platform supporting 25+ languages.
OCRComputer VisionGoogle CloudDeepLPyTesseractCeleryRedis
Engineered a comprehensive AI-powered translation platform that handles documents, meetings, and real-time email translation across 25+ languages — with flexible billing built in.
Core Features
- Document translation pipeline using OCR and Computer Vision (PyTesseract + Google Cloud Vision)
- DeepL-powered high-accuracy translations across 25+ languages
- Real-time email translation Chrome extension
- Meeting platform with live translation support
Infrastructure
- Async task processing with Celery and Redis
- Subscription and pay-as-you-go billing models
- Google Cloud for scalable document processing
The Challenge
Building GetLingo AI required overcoming several architectural hurdles, specifically regarding low-latency data synchronization and scalable state management. The goal was to ensure sub-100ms response times for all user interactions.
The Solution
We architected a solution using event-driven design patterns. By decoupling the frontend state from the transactional backend logic, we achieved optimistic UI updates that feel instant to the user.
Project Details
Role
Lead Engineer
Timeline
3 Months
Team Size
2 Developers