audio.cpp WebUI
A fast local AI audio platform supporting dozens of AI models, enabling voice generation, recognition, conversion, and music creation through an easy-to-use Web interface
Download with PC ClientFeatures
System Requirements
Minimum 8GB RAM. 13GB+ storage recommended.
macOS 15+: Supports both Intel and M-series chips.
Windows 10/11: Intel/AMD GPUs supported, NVIDIA GPU recommended.
Note: For NVIDIA GPUs, install a newer driver.Introduction
Caution: audio.cpp WebUI supports a large collection of AI audio models from different developers, and each model has its own license terms. Some models allow commercial use, while others may only be used for research or non-commercial purposes.
Before using any model, please check the corresponding license requirements, especially for commercial projects, enterprise deployment, and content production.
The complete model list, sources, and license information are available here:
"audio.cpp Model Licenses and Commercial Use"
Project Overview
audio.cpp WebUI is developed and maintained by kigner and is based on the audio.cpp project.
audio.cpp WebUI is a local AI audio platform that currently supports dozens of AI audio models and continues to expand its model ecosystem.
Through a unified Web interface, users can run different AI audio tasks on their own computers, including speech generation, speech recognition, voice conversion, and AI music creation.
Compared with traditional AI audio workflows that require separate environments for each model, audio.cpp WebUI combines multiple models into one platform, making it easier to select, manage, and run different AI capabilities. However, some models use quantized versions that may have lower quality compared with the original models, and the WebUI may offer fewer features or a simpler user experience than some official applications.
Rich AI Audio Model Ecosystem
audio.cpp WebUI supports various AI audio model categories, including:
- Text-to-Speech (TTS)
- Automatic Speech Recognition (ASR)
- Voice Conversion
- Speaker Diarization
- AI Music Generation
- Audio processing models
Examples of popular models include:
VibeVoice, GLM-TTS, MOSS-TTS-Local (v1.5), Qwen3-TTS, Qwen3-ASR, VibeVoice ASR, HeartMuLa, ACE-Step 1.5
Different models are suitable for different workflows, allowing users to select models based on their needs.
(Note: Each model has its own license. Please refer to the official license information of each model.)
Faster Local AI Audio Experience
audio.cpp WebUI focuses on efficient local execution through an optimized inference architecture, allowing AI audio models to load and run efficiently.
Compared with some traditional AI audio solutions that rely on complex Python environments, it provides:
- A lighter runtime environment;
- Efficient local inference performance;
- Better CPU/GPU utilization;
- Easier deployment on personal computers and workstations.
Users can run AI audio tasks directly on their own hardware without uploading audio data to cloud services.
Easy-to-Use AI Audio Tool
Through the WebUI, users can:
- Browse and manage models;
- Download required models;
- Adjust generation parameters;
- Run AI audio tasks directly.
Even users without AI development experience can access advanced audio AI technologies through the graphical interface.
Use Cases
audio.cpp WebUI can be used for:
- AI video voice-over production
- Audiobook creation
- Podcast production
- Game character voice generation
- Local AI assistants
- Audio research and experimentation
- Enterprise on-premise AI audio deployment