F5-TTS
App : A product you use directly
Speech synthesis and voice cloning via flow matching, fast and local.
Excellent quality-to-speed ratio for local use.
Security reflects where data goes, requested permissions and incidents on record at the verification date. It is not a guarantee of zero risk: check the deployment mode and the connections you enable.
What it does, concretely
Producing convincing synthetic speech or cloning an existing voice usually requires significant resources and online services that retain your data. F5-TTS addresses this by offering text-to-speech synthesis and voice cloning entirely on-device, without sending anything to a remote server.
The tool is built on a Diffusion Transformer architecture combined with a technique called flow matching. In practice, you simply provide a short reference audio clip and its transcript, and the model reproduces that voice on any target text. A sampling strategy called Sway Sampling further improves quality at inference time.
F5-TTS is aimed at developers, researchers, and advanced users comfortable with a Python environment. It supports multiple languages, enables multi-speaker and multi-style generation, and can even be paired with a language model for voice chat.
It is not suited for people looking for a ready-to-use application without command-line interaction. Installation requires Python 3.10 or higher, PyTorch, and FFmpeg, and optimal performance depends on a compatible NVIDIA, AMD, or Intel GPU.
What it offers
- ·Local text-to-speech synthesis without sending data to a remote server.
- ·Voice cloning from a short reference audio clip and its transcript.
- ·Multi-speaker and multi-style generation within a single audio output.
- ·Built-in Gradio web interface for use without command-line interaction.
- ·Command-line interface (CLI) for integration into scripts and automated pipelines.
- ·Voice chat capability by pairing F5-TTS with the Qwen2.5-3B-Instruct language model.
- ·Model fine-tuning on custom data via Gradio or Hugging Face Accelerate.
- ·Docker deployment and Triton/TensorRT-LLM support for production environments.
In practice
- Price
- Free
- Commercial use
- Commercial use: unclear
- Available on
- linux, windows, macos
- Licence
- MIT (code)
- Runs locally
- Yes, 4 GB VRAM recommended
- FR interface
- No
Security and data
- Rating
- Security: one caveat, see the card
- Your data
- Data stays local
- Maintenance
- Active
- Last release
- 23 July 2026
Links and repository checked on 25 October 2026 · added on 1 October 2024
How to install F5-TTS
pip install f5-tts