ThinkSound AI

Share

Key Features

  • Video to Audio Generation: Transform any video into professional soundscapes with Chain-of-Thought AI
  • Three-Stage Process: Foundational foley generation, object refinement, and natural language editing
  • AudioCoT Technology: Structured reasoning annotations for semantically coherent video to audio conversion
  • Interactive Refinement: Edit and refine video to audio output with simple natural language instructions
  • Open-Source Platform: Access complete video to audio models and datasets on Hugging Face and GitHub

How It Works

  1. Upload Video: ThinkSound AI analyzes visual content using multimodal understanding
  2. Chain-of-Thought Analysis: Decomposes video into audio elements, identifying objects, actions, and ambient sounds
  3. Three-Stage Audio Generation: Foundational foley sounds, object-centric refinement, natural language editing
  4. Interactive Refinement: Precise control over every audio element with natural language instructions

Target Users

  • Researchers: Research access for exploring video to audio technology
  • Developers and Creators: Developer access with API and advanced features
  • Organizations: Enterprise solutions requiring custom video to audio deployments

Core Advantages

  • First video to audio framework using Chain-of-Thought reasoning
  • Understands visual context and generates semantically coherent soundscapes
  • Interactive refinement capabilities for precise audio control
  • Open-source project with complete models and datasets access
  • Supports 20+ languages, 44.1kHz audio quality

Pricing Plans

  • Research Access (Free): Research access, generation examples, AudioCoT dataset, GitHub repository, community support (research use only)
  • Developer Access (Coming Soon): API access, advanced Chain-of-Thought features, custom generation, priority processing, developer support, commercial license, model fine-tuning, integration guides
  • Enterprise (Contact for Pricing): Custom deployment, advanced customization, white-label solutions, dedicated instance, 24/7 support, analytics, team collaboration, enterprise SLA

FAQ

  • How it works: Uses Chain-of-Thought reasoning to convert video to audio through three stages: foundational foley generation, object-centric refinement, natural language editing
  • Model access: Open-source project with models, AudioCoT dataset, and examples available on Hugging Face and GitHub
  • Uniqueness: First video to audio framework using Chain-of-Thought reasoning, understands visual context and generates semantically coherent soundscapes
  • API availability: Currently in research phase, commercial API coming soon

  • Visits : <5K
  • Collection Time:2025-09-16
  • Pricing Mode: Contact for Pricing Free Paid

#Audio editing #Music #Text to speech #Video editing #Video generator Contact for Pricing Free Paid Website Open Source

Comment

Login After logging in, you can make comments

Explore Similar AI Tools

Pollinations

Visits 209.02K Pricing Mode Free

Shuffll

Visits 33.80K Pricing Mode Contact for Pricing