ThinkSound AI is an innovative platform that transforms video content into rich, contextual audio using advanced Chain-of-Thought reasoning technology. By analyzing visual elements, it generates semantically coherent soundscapes through a three-stage process, making professional audio creation accessible to all. Key Features and Functionality: - Advanced AI Engine: Utilizes a state-of-the-art text-to-speech model with neural voice synthesis to produce studio-quality audio. - Interactive Audio Editing: Allows precise, stepwise audio generation and editing through natural language instructions. - Three-Stage Audio Generation: Employs foundational foley generation, object-centric refinement, and natural language editing for seamless video-to-audio conversion. - Open-Source Framework: Provides access to the complete ThinkSound video-to-audio framework, models, and the AudioCoT dataset on platforms like Hugging Face and GitHub. - High-Performance Benchmarks: Supports over 50 voices, delivers 44.1kHz audio quality, operates at twice the real-time speed, and accommodates more than 20 languages. Primary Value and User Solutions: ThinkSound AI addresses the challenge of creating high-quality audio for video content by automating the generation of semantically coherent soundscapes. Its interactive editing capabilities and open-source nature empower users—from content creators to researchers—to produce professional-grade audio efficiently, enhancing the overall multimedia experience.