Modular AI Execution Layer

Sphere.ai employs a service-oriented AI architecture, where different stages of content generation are handled by independent modules. This modular structure allows for flexible scaling, real-time orchestration, and continuous optimization across media formats including video, audio, and text. Each component focuses on a specific domain while interacting through a shared orchestration layer.

Video and Audio Processing

• Automatic scene segmentation based on visual and auditory markers

• Audio denoising, speech isolation, and silence trimming for cleaner output

• Background music suggestion matched to video rhythm and tone

• Subtitle generation powered by multilingual speech recognition with frame-level alignment

Text-Based Content Generation

• Prompt-to-script generation for intros, tutorials, announcements, and commentary

• Automated caption and title writing optimized for short- and long-form content

• Language tone adaptation for different formats (educational, informal, narrative)

Personalization and Discovery Support

• User behavior and context modeling to generate tailored content prompts

• Metadata tagging to enhance discoverability and recommendation accuracy

• AI-based layout and structure suggestions to improve visual engagement

All modules are containerized and deployed in a horizontally scalable environment, ensuring fast inference, high availability, and seamless integration into the content creation workflow.