Rephrase AI Platform
An AI-powered platform for summarizing PDF documents using multiple language models with automatic fallback between providers.
The Problem
Large documents can take a long time to read, and applications that depend on a single AI provider become unreliable when APIs reach rate limits or experience downtime. I wanted to build a summarization platform that continues working even when one provider is unavailable.
Engineering Challenges
Supporting multiple AI providers required handling different request formats, response structures, and failure scenarios while keeping the experience consistent for users.
Step-by-Step Workflow
1. Document Processing
Uploaded PDF documents are processed on the server before being prepared for AI summarization. The application validates the input and generates prompts suitable for different language models.
2. Multi-Provider AI Pipeline
Requests are first sent to OpenAI. If the request fails because of rate limits or service availability, the application automatically retries using Google Gemini and finally Hugging Face, ensuring summarization remains available.
3. Subscription Management
Stripe manages subscription payments while webhook verification keeps premium access synchronized after successful transactions.
Why This Architecture?
Supporting multiple AI providers reduces dependency on a single external service and improves application reliability without requiring users to retry failed requests manually.
Key Features
- AI-powered PDF summarization.
- Automatic fallback between OpenAI, Gemini, and Hugging Face.
- Stripe subscription integration.
- Responsive interface built with Next.js and TypeScript.
- Interactive UI with Framer Motion animations.
Performance
The fallback pipeline automatically switches providers whenever the primary AI service is unavailable, allowing users to continue generating summaries without interruption.
Trade-offs
Maintaining multiple AI integrations increases application complexity because each provider exposes different APIs, response formats, and usage limits.
Lessons Learned
This project helped me gain practical experience integrating multiple AI providers, designing fallback strategies, managing payment workflows with Stripe, and building applications that remain reliable despite third-party service failures.