Backend Architecture for Text-to-Speech SaaS Platform

The server-side engine behind a text-to-speech SaaS. I architected the backend in Python and FastAPI, deployed on Cloudflare Workers, integrating ElevenLabs and other top-tier AI voice models — with a focus on reliably generating, streaming, and storing large audio files at scale.

AI voice generation is heavy: requests are slow, audio files are large, and users expect a smooth experience anyway. The client needed a backend that could orchestrate calls to multiple AI voice providers, handle big audio payloads without timing out, and stay responsive as usage grew.

A Python / FastAPI backend orchestrating text-to-speech generation end to end

Integration with ElevenLabs and other leading AI voice models behind a unified API

Cloudflare Workers for edge delivery and scalable request handling

Robust handling of large audio files — generation, streaming, and storage

A TypeScript-friendly API contract for clean front-end integration

Python, FastAPI, Cloudflare Workers, ElevenLabs, and TypeScript.

The SaaS launched with a backend that turns text into high-quality speech reliably and at scale — abstracting multiple AI voice providers behind one clean API and handling large audio workloads without breaking a sweat.