How SimpleDub Processes 1 Million Videos
At SimpleDub, we’ve built an infrastructure capable of processing over a million videos per month. Here’s how we do it.
The Challenge
Video processing is computationally intensive. Each video requires:
- Audio extraction and analysis
- Speech recognition
- Translation to multiple languages
- Voice synthesis
- Lip-sync adjustment
- Final rendering
Multiply this by millions of videos, and you need serious infrastructure.
Our Architecture
Distributed Processing
We use a microservices architecture with horizontally scalable workers. Each processing step runs independently, allowing us to scale specific components based on demand.
GPU Clusters
Our AI models run on dedicated GPU clusters optimized for inference. We’ve fine-tuned our models to balance quality with processing speed.
Smart Queuing
Our intelligent queue system prioritizes based on user tier, deadline requirements, and resource availability to optimize throughput.
Results
- Average processing time: 2-3 minutes per video minute
- 99.9% uptime
- Support for videos up to 4 hours long
Want to learn more about our technology? Contact our team.