AI Sound

AI-native audio editor built as a modern replacement for Audacity, with LLM integration at its core. Features multi-track editing, AI transcription, speaker diarization, semantic search, and a full MCP server for external AI assistant integration.

Solo DeveloperNew Paradigm Web DevelopmentMarch 2026 - Present0 months

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About This Project

AI Sound is designed from the ground up with AI integration — not bolted on as an afterthought. It exposes all editing capabilities through both a conversational AI assistant and an MCP server, enabling AI tools like Claude Desktop to edit, analyze, and export audio projects. Supports non-destructive multi-track editing, audio effects (normalize, compress, EQ, reverb, noise reduction), word-level transcription, speaker identification, and semantic content search.

Key Achievements

Architected an MCP server that exposes all audio editing operations as composable tools — AI assistants can import, trim, mix, transcribe, and export without understanding audio internals
Built AI-powered transcription pipeline with word-level timestamps and speaker diarization that integrates directly with the editing timeline
Implemented semantic search across transcribed audio content — find segments by meaning, not just keywords
Designed a non-destructive editing engine with full undo/redo history, markers, and automation envelopes
Audio effects chain (normalize, compress, EQ, reverb, noise reduction, fade, pitch shift, speed) all accessible via both UI and MCP tool calls
Cross-project track import enabling composable audio workflows between multiple projects
LLM-agnostic architecture — runs fully local with Ollama or connects to any OpenAI-compatible cloud provider

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Related Publications

Articles that cover technologies and skills used in this project

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