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AI Voiceover Generator

High-performance text-to-speech application with global edge deployment. Converts CSV study materials into natural-sounding audio using advanced AI voices.

Tech Stack

Frontend: SvelteKit, TypeScript, Tailwind CSS, Vite
Backend: Bun runtime, Hono framework, Drizzle ORM
Edge: Cloudflare Workers, D1 database, R2 storage
AI: OpenAI TTS API, Microsoft Edge TTS
Audio: FFmpeg processing, MP3 encoding

Performance

  • < 50ms response times globally via 320+ edge locations
  • 3x faster backend processing with Bun runtime vs Node.js
  • 12KB framework footprint (Hono vs Express 200KB)
  • Zero cold starts with V8 isolate deployment
  • Automatic scaling from 0 to millions of requests

Key Features

  • Dual TTS engines with voice quality optimization
  • Real-time processing with background job queues
  • Temporary file management with automatic cleanup
  • CSV validation and structured data parsing
  • Global edge deployment with serverless architecture
  • Type-safe end-to-end with TypeScript

Implementation Highlights

// Ultra-lightweight edge API with Hono
const app = new Hono<{ Bindings: Env }>()
app.use('*', cors(), logger(), prettyJSON())

// Background audio processing with Bun performance
await generateAudioFromCSV(csvPath, voiceType, voiceId, outputPath)

// Edge-optimized database queries
const files = await db.select().from(files).where(eq(files.status, 'ready'))

Voice Processing Pipeline:

  • CSV parsing with Front/Back column validation
  • Concurrent TTS generation (questions at 1.0x, answers at 0.9x speed)
  • Audio concatenation with silence intervals (1.5s Q→A, 2.0s between cards)
  • Streaming MP3 delivery with automatic cleanup

Edge Deployment:

  • D1 SQLite database with global replication
  • R2 object storage for temporary file handling
  • Durable Objects for stateful processing (future enhancement)
  • Custom domain support with SSL termination

Deployment

# Edge deployment (Cloudflare Workers + D1 + R2)
./deploy-edge.sh

# Local development
bun run dev        # Backend (port 8000)
npm run dev        # Frontend (port 3000)

Performance Metrics

  • TTS Generation: ~2-3s per question/answer pair
  • File Processing: Concurrent with progress tracking
  • Memory Usage: <128MB per request (edge limits)
  • Database Queries: Sub-millisecond with edge caching
  • Global Latency: P99 < 100ms, P50 < 30ms

Technical Decisions

Bun over Node.js: 3x faster startup, native TypeScript, built-in bundling
Hono over Express: 12KB vs 200KB, edge-optimized, better TypeScript support
D1 over PostgreSQL: Global replication, serverless scaling, SQLite performance
SvelteKit over React: Smaller bundle size, better performance, less complexity


Live Demo: ai-voiceover.vercel.app
API Docs: workers.dev/health
Tech Blog: Implementation deep-dive (coming soon)

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