BookAddict.Ai
Multi-model orchestration that creates complete audiobook experiences—from script adaptation to professional narration to cover art. End-to-end AI-powered production at scale.
The Problem
Traditional audiobook production is expensive and slow. Professional narrators, studio time, editing, and cover design can cost $5,000-$15,000 per title and take weeks to complete. For publishers with large back catalogs or indie authors with limited budgets, most books never get an audio version. The market needed a way to produce quality audiobooks at scale without the traditional bottlenecks.
Our Approach
We built an orchestration layer that coordinates multiple AI models into a seamless production pipeline. The system takes raw text and produces a finished audiobook: script adapted for audio, multiple character voices, appropriate pacing and emotion, and matching cover art. Each model is specialized for its task, and the orchestration layer ensures quality at every handoff. The result is production quality at a fraction of the cost and time.
Key Features
AI Script Generation
Transforms source material into engaging audiobook scripts with proper pacing, dialogue attribution, and narrative structure.
Neural Voice Narration
Multi-voice synthesis with emotion, pacing, and character differentiation using state-of-the-art TTS models.
Cover Art Generation
AI-generated cover art that captures the essence of the book, with style consistency and brand alignment.
Orchestrated Pipeline
Seamless coordination between models—each step feeds the next, with quality checkpoints throughout.
Technical Architecture
Script Generation Pipeline
LLM-based transformation with custom prompting for audiobook-specific formatting and pacing.
Voice Synthesis Engine
Multi-model TTS with voice cloning capabilities and emotion-aware synthesis.
Image Generation Service
Diffusion models fine-tuned for book cover aesthetics with style transfer capabilities.
GCP Infrastructure
Scalable cloud architecture on Google Cloud Platform with automated scaling and cost optimization.