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SaaS · AI
AI Video Automation Platform
A SaaS tool that converts long-form podcasts into viral short-form clips autonomously.
Client
Media Startup
Industry
Media & Entertainment
Duration
14 Weeks
Year
2026
5 mins
Generation Time
2,000 hrs
Video Processed
$1.2M
Funding Secured
The Challenge
Video editors spend hours hunting for the most engaging 30-second clips inside 2-hour podcasts. The startup needed a way to automate curation and clipping entirely.
The Solution
Built a robust video processing pipeline that transcribes audio, uses an LLM to identify high-engagement segments based on conversational tension, and automatically renders clips.
Design Process
Designed a complex timeline UI in the browser that feels as responsive and intuitive as a native desktop application.
Development Process
Offloaded heavy lifting to GPU instances running FFmpeg and Whisper. The frontend manages state using Redux to keep the complex timeline synchronized.
Technology & AI Stack
ReactReduxNode.jsFFmpegAWS S3StripeOpenAI WhisperGPT-4 Vision
Project Results
- Eliminated the need for manual transcript reading.
- Automated the subtitle burning process.
- Secured Seed funding based on the working prototype.
Key Features
Auto-transcription with 99% accuracy
AI-driven engagement scoring
Cloud-based video rendering pipeline
Browser-based timeline editor
Direct social media exporting
"This platform does the work of three full-time video editors. It finds the absolute best moments of a podcast with terrifying accuracy."
James HoldenFounder, Media Startup
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