How I built FastMedia Downloader: A microservices architecture with FastAPI, Next.js, and Docker

Hey devs! 👋

I recently built and open-sourced FastMedia Downloader, a full-stack platform designed to inspect and extract multimedia content from over 1,000 supported platforms (YouTube, TikTok, Instagram Reels, X/Twitter, SoundCloud, and more).

I wanted to share how I structured the project, the tech stack I selected, and how the microservices communicate with each other.

The system is split into two independent, containerized microservices:

Backend (FastAPI + Python 3.11): Core orchestrator that manages asynchronous requests, media inspection, and conversion via custom wrappers around yt-dlp and FFmpeg.

How I built FastMedia Downloader: A microservices architecture with FastAPI, Next.js, and Docker

Related reading

How I Built a Fast Instagram Video and Reels Downloader with Next.js

Architecting a Modern Music Streaming Platform: Lessons from Building a Spotify…

I built a content engine that turns one video into posts on every platform

Building Vidiflow: A Production-Grade Video Downloader Backend in TypeScript

How I built a high-performance Chinese learning platform with 100k+ TV clips…

I built a production ML inference API with FastAPI, Celery and Docker — here's…