AI TTS Microservice

AI TTS Microservice
architecture
engineering

Inside the AI TTS Microservice Architecture

AI TTS Microservice Team5 min read
Inside the AI TTS Microservice Architecture

AI TTS Microservice is a typed, observable text-to-speech pipeline: paste a script, get a natural voiceover, and keep moving.

How It Runs

A Next.js app handles auth, routing, and the editor. API routes validate your payloads and hand off work to async tasks so the UI never waits on synthesis.

Jobs are queued and processed server-side; we store just enough metadata to track status, usage, and signed URLs. Admins can regenerate links, but everything is time-scoped.

Lifecycle

  1. Submit — Text and options are sent to the API; we validate length, model tier, and auth.
  2. Dispatch — A job record is created with size, tier (Premium or Ultra), and status. No extra PII is added beyond what’s needed for auth/usage.
  3. Synthesize — The backend calls the configured TTS provider and streams audio into temporary storage.
  4. Deliver — You get a signed URL with a short-lived expiry; shares expire after 7 days.

The intent is simple: keep artifacts short-lived and scoped to the job. We keep logs and metadata for observability, not raw scripts.

Voice Tiers

  • Premium: Fast, reliable voices for everyday narration.
  • Ultra: Higher-fidelity, expressive voices in the library. Catalog is labeled; backend routing stays internal.

Voice Gallery (Free to Browse)

The voice gallery is open: you can explore, filter by language/model type, and preview without paying. When you’re ready to generate full audio, the same flow handles auth and billing.

Privacy & Observability

We store user records (email, credits, role) and job metadata (status, signed URLs, counts). Text lives only as long as needed to produce audio; signed URLs expire, and shares auto-expire after 7 days. Logs track events and performance, not raw scripts.

Resilience

  • Async by default: Jobs are offloaded so the UI stays responsive.
  • Retries: Transient provider errors are retried with backoff.
  • Admin tools: Signed URLs can be regenerated; jobs can be inspected.

What’s Next

Expanding the voice catalog and tightening discovery/preview performance are top of mind. Multi-provider support is on the roadmap, with the same adapter pattern behind the scenes.

Want to integrate this flow into your stack? Reach out to discuss an implementation.