Work/
AI Video Pipeline

AI VIDEO CREATION PIPELINE

Category

AI & Automation

Client

Harvest Goals

Duration

3 months

Role

Full-stack, AI integration

Automated video generation system where users upload photos and story notes to receive personalized AI-generated videos. Integrated Higgsfield API, custom celebrity voice synthesis, and automated rendering workflows.

Project Overview

Creator monetization platforms need tools that allow fans to generate personalized content at scale. Manual video creation doesn't scale - AI automation enables personalized video generation for thousands of users simultaneously.

The Challenge

  • 01 Quality Control - AI videos need to meet quality standards consistently
  • 02 API Integration - coordinating multiple AI services (video, voice, rendering)
  • 03 User Experience - making complex AI workflows feel simple
  • 04 Processing Time - managing expectations around generation time
  • 05 Cost Management - API costs per video must stay within business model

The Solution: User Flow

  1. 1 User uploads 5-10 photos
  2. 2 User provides story notes (text description of desired video narrative)
  3. 3 System processes photos and generates video script via ChatGPT API
  4. 4 AI video generation via Higgsfield API
  5. 5 Celebrity voice synthesis via custom pipeline
  6. 6 Final rendering via FFmpeg and delivery to user

Technical Architecture

Backend & Infrastructure

  • Node.js API with Bull/Redis job queues
  • AWS S3 & CloudFront CDN for media
  • Webhook handling for async updates
  • FFmpeg processing

AI Services

  • Higgsfield API (Core Video Gen)
  • OpenAI API (Script Gen)
  • Custom Voice Synthesis API
  • Face detection algorithms

Key Results

Generation Time

5-8m

Capacity

100+/hr

Lessons Learned

AI integration requires careful orchestration - you're not just calling one API, you're coordinating multiple services with different response times, error modes, and quality characteristics. Building reliability means assuming every API call might fail and planning accordingly.

User experience matters more than technical sophistication. Users don't care about your impressive AI pipeline - they care that their video arrives quickly and looks good.