Building an AI video application looks deceptively simple from the outside.
A user uploads a résumé, portfolio, presentation, or business document. The application extracts the content, generates a script, creates visuals, synthesizes speech, animates a digital presenter, and exports a polished video.
That sounds like a sequence of API calls.
In production, it is actually a distributed media-processing system involving document parsing, large language models, image generation, text-to-speech, video generation, object storage, background jobs, FFmpeg, retries, progress tracking, security, and cost control.
This guide explains how to design such a system from the ground up.
