# audio.cpp-webui: A C++ Audio Inference Engine with a Full-Task Web Interface > audio.cpp-webui is a Windows-focused downstream distribution of the audio.cpp C++ inference framework, extended with a Gradio-based WebUI and one-click Windows portable builds. It covers TTS, ASR, voice conversion, speaker diarization, VAD, and music generation without requiring a Python environment for the core inference path. **kigner/audio.cpp-webui** — audio.cpp with a full-task WebUI - pure C++ audio-model inference engine powered by ggml. TTS, ASR/STT, VAD, voice conversion, speaker diarization, music generation. No Python dependency. - Repository: https://github.com/kigner/audio.cpp-webui - Stars: 375 · Forks: 79 - Language: C++ - License: NOASSERTION - Published: 2026-09-17 · Updated: 2026-09-17 · Language: en - Canonical page: https://hysenlabs.com/projects/kigner-audio-cpp-webui ## What audio.cpp-webui Solves for Local Audio Model Users Running local audio models in Python typically means managing separate Conda environments for each model family, resolving dependency conflicts between PyTorch versions, and repeating that setup for every new model. audio.cpp-webui offers a different approach: a C++ inference runtime built on ggml that runs multiple audio model families under a shared native binary, with a Gradio Python layer on top for the web interface. The project targets two groups. The first is Windows users who want a prebuilt, portable install they can download and run without building from source. The second is developers who need a consistent inference surface across TTS, ASR, VAD, voice conversion, diarization, and music generation without maintaining separate Python environments for each task. This repository is a downstream fork of 0xShug0/audio.cpp, which carries an Apache-2.0 licence and holds the upstream core. The README is explicit about this: all credit for the inference framework goes to the upstream project. What this fork adds is the full-task WebUI and the Windows-friendly launch scripts. ## What This Fork Adds to the Upstream Project The upstream audio.cpp project (0xShug0/audio.cpp) provides the native inference engine. This downstream fork periodically merges upstream changes and adds two things the upstream does not ship as its primary interface: a Python/Gradio WebUI as the main Windows workflow, and a Windows portable build that bundles the compiled binary, models, and a pre-installed Python virtual environment together. As of Release 0.6 (published 2026-08-13), the fork covers 49 model families and more than 70 model variants. The upstream also added a native WebUI in this release, which this fork ships as an independent alternative entry point alongside its own Gradio interface. The Windows prebuilt releases (v0.6.0, v0.5.1, v0.5.0) are the primary distribution artifact for this fork. They include the compiled binary, the venv with dependencies pre-installed, and scripts to launch the WebUI directly without a build step. The requirements.txt in the repository root was frozen from the project venv on 2026-07-15 and covers the Gradio WebUI layer, the SpeakType voice dictation demo, and the model manager tools. Key dependencies include gradio 6.19.0, torch 2.12.1, huggingface-hub 1.21.0, and fastapi 0.138.2. These are the Python packages required for the web interface; the core C++ inference engine has no Python dependency. ## Installing the WebUI on Windows and Linux For Windows users, the recommended path is downloading a prebuilt release from the Releases page. Once extracted, the WebUI starts with: ```batch run_webui.bat ``` The portable bundle includes the Python venv pre-installed, so no separate Python setup is needed. The updater supports in-place upgrades: the README states that existing portable installs from v0.2.0 through v0.5.0 can upgrade directly to v0.5.1 or v0.6.0. For Linux, macOS, or custom builds, the repository includes a Dockerfile and a Makefile.windows at the top level. The Docker path builds the image from source. The run_server.bat, run_server_asr.bat, and related batch files in the root cover specific task entry points beyond the main WebUI. A native WebUI is also available as an alternative to the Gradio layer: ```batch run_native_webui.bat ``` The Gradio WebUI remains the primary Windows workflow; the native WebUI is described as an independent entry point added from upstream in the 0.6 release. ## Model Families, Tasks, and GGUF Support The README lists the tasks covered by the runtime: text-to-speech (TTS), automatic speech recognition (ASR/STT), voice activity detection (VAD), voice cloning, voice conversion, speaker diarization, music generation, alignment, source separation, and codec-style inference. As of Release 0.6, the project covers 49 model families. All released model families support GGUF loading. The README specifically names Higgs Audio, Fish Audio, and Voxtral as examples where Q8 quantization was measured. According to the README, tested Q8 packages ran up to 1.53x faster than their 16-bit counterparts while reducing peak VRAM by up to approximately 37% on those routes. A full GGUF support status table and a Q8 performance report are linked from the docs/ directory. The runtime supports NVIDIA/CUDA, AMD/HIP/ROCm, Vulkan, Apple Metal, and CPU-only backends. The README states that the project is optimized for CUDA and that the most significant throughput gains are on NVIDIA hardware. ## Limitations and Cases Where the C++ Stack Falls Short The license for this fork is listed as NOASSERTION in the repository metadata. The upstream core (0xShug0/audio.cpp) carries Apache-2.0, but the WebUI additions and Windows scripts in this repository do not have a clearly stated licence. Teams with licence compliance requirements should check with the repository author before embedding this in a product. The Windows prebuilt releases are the most complete distribution, but they are CUDA-focused. AMD/ROCm is supported in the core framework but requires a separate environment and different configuration files than the defaults. The README does not provide a prebuilt ROCm download. Model availability depends on the user downloading model files separately. The WebUI includes a model manager to assist with downloads, but the model files themselves are not bundled with the portable release. Some model families require Hugging Face access. The Python WebUI layer introduces Python as a dependency for the interface even though the core inference is C++. Teams that want a completely Python-free deployment need the native WebUI path, which was added more recently and may have less community documentation than the Gradio layer. ## Compared with Python-Based Audio Inference Stacks The most direct alternative for local audio model inference is a Python-based stack using PyTorch, Hugging Face Transformers, and model-specific libraries. That approach gives access to the full Python ecosystem for pre- and post-processing, and most model authors publish their reference implementations in Python. The practical difference is the dependency surface and performance ceiling. A Python stack requires matching CUDA toolkit versions, Conda or virtual environment management, and separate installs for each model family. The audio.cpp approach consolidates multiple families under a single C++ binary with shared backends. According to the README, multiple TTS paths in audio.cpp run 1.8x to up to 8x faster than their Python reference paths while cutting end-to-end latency by 45% to 85%. These figures are stated in the README for CUDA inference paths; they do not apply to CPU-only operation. For users on Linux who are comfortable with Python and already manage their own environments, the Python reference paths will be more familiar and better documented. The audio.cpp stack is most compelling for Windows deployments where managing Python environments is the main friction point. ## Maintenance and Repository Status The last push to this repository was on 2026-08-14, which is when v0.6.0-windows-prebuilt was published. The project is not archived. The repository merges periodically from upstream (0xShug0/audio.cpp). The default branch is v0.6.0, not main or master, which means cloning without specifying a branch will land on the v0.6.0 branch. The README notes that new model PRs should start under the community models surface before being considered for the core. Contributions are welcomed with specific guidance: the README states that the most helpful contributions are improvements to the UI, API server, and pipeline/workflow subsystems. New model ports require reproducible validation with exact build and run commands, and must follow the measurement style from pull requests named in CONTRIBUTING.md. Because the licence for this fork is not clearly declared, users should contact the repository author if they plan to redistribute the software or include it in a commercial product. ## Conclusion audio.cpp-webui is the practical choice for Windows users who want to run audio models locally without managing Python environments, and for developers who need CUDA-accelerated inference across a wide range of audio tasks from a single runtime. Users on Linux or macOS with existing Python toolchains have less reason to prefer it over the upstream project. Before starting, verify that your hardware backend (CUDA, ROCm, Vulkan, Metal, or CPU) is matched by the build you download, since the Windows prebuilt releases are CUDA-focused and the license for this fork is not clearly stated in the repository. ## FAQ ### Does audio.cpp-webui require Python to run? The core C++ inference engine has no Python dependency. However, the Gradio WebUI layer does require Python, and the frozen requirements.txt lists gradio, torch, and related packages. The native WebUI, added in Release 0.6, is an alternative entry point that does not use the Gradio layer. ### What hardware backends does audio.cpp-webui support? According to the README, the project supports NVIDIA CUDA, AMD HIP/ROCm, Vulkan, Apple Metal, and CPU-only backends. The Windows prebuilt releases focus on CUDA. AMD/ROCm requires a separate setup step and different configuration files than the defaults. ### What is the relationship between audio.cpp-webui and the upstream audio.cpp project? This repository is a downstream distribution of 0xShug0/audio.cpp (Apache-2.0). It merges upstream changes periodically and adds a Gradio WebUI and Windows portable builds. The README credits the upstream project for the core inference framework. ## Sources - [Issues](https://github.com/kigner/audio.cpp-webui/issues) - [kigner/audio.cpp-webui on GitHub](https://github.com/kigner/audio.cpp-webui) - [README](https://github.com/kigner/audio.cpp-webui/blob/v0.6.0/README.md) - [Releases](https://github.com/kigner/audio.cpp-webui/releases) --- Hysen Labs editorial analysis, written from the project's own repository and release notes. Cite the canonical page: https://hysenlabs.com/projects/kigner-audio-cpp-webui