Case Study

SoBookey

Where Words Become Scenes.

SoBookey main interface

Platform

SaaS Platform

Timeline

22 Weeks

Role

Full-Stack Product Engineering

Tech Stack

Next.jsFFmpegAWS S3OpenAIStripe

The Problem

Content creators, educators, and authors struggled with the complex, time-consuming process of turning written content into engaging video narratives. They needed an automated pipeline to handle scripting, voiceovers, and visual rendering in a single platform.

Our Solution

We architected an AI-driven media generation engine that seamlessly converts PDFs, text prompts, and audio recordings into fully rendered narrative videos with automated chapter extraction and visualization.

Key Features

  • >AI Story Maker
  • >Ebook to Video Pipeline
  • >Audio Visualization Engine
  • >Automated Voiceovers
  • >Stripe Subscription Billing
SoBookey secondary interface

Engineering Highlights

Distributed Rendering Pipeline

Engineered a scalable media rendering queue on AWS to handle simultaneous heavy video generation tasks without blocking the main application thread.

Automated Chapter Extraction

Built an intelligent document parser that analyzes full-length PDFs, identifies narrative arcs, and splits content into perfectly paced video scenes.

Business Impact

Reduced video creation time from days to minutes.

Enabled scalable content pipelines for independent creators.