Best Local AI Models for Voice Cloning & Custom TTS
Generating speech in a target speaker's voice.
For the best balance of quality and efficiency in voice cloning and custom TTS, use Kokoro 82M TTS. It delivers exceptional audio quality while remaining accessible on a wide range of hardware.
Voice cloning and custom text-to-speech (TTS) require models that can accurately replicate a target speaker's voice with natural intonation and clarity. Users should prioritize high-quality audio output, minimal latency, and efficient resource usage. Running these models locally ensures data privacy, reduces latency, and avoids the costs and limitations of cloud APIs, making them ideal for real-time applications and sensitive content.
Top picks
- #1
Kokoro 82M TTS0.082B · apache-2.0 · min 0.6GB
The best balance of quality and efficiency for voice cloning and custom TTS.
Kokoro 82M TTS stands out as the top pick for voice cloning and custom TTS due to its exceptional audio quality (95%) and relatively small size (0.082B parameters). It requires only 0.6GB of VRAM, making it accessible on a wide range of hardware. Licensed under Apache-2.0, it offers flexibility for both personal and commercial projects. Its primary strength lies in its ability to produce highly natural and expressive speech, which is crucial for voice cloning applications. While it may not be the smallest model, the trade-off in quality is well worth the additional resources required.
- #2
Piper TTS - Amy (English)0.02B · mit · min 0.1GB
A lightweight option with excellent quality for English TTS.
Piper TTS - Amy (English) is a strong runner-up, offering high-quality audio (85%) with a very small footprint (0.02B parameters and 0.1GB VRAM). Licensed under the MIT license, it is highly versatile and easy to deploy on low-end hardware. This model excels in generating clear and natural-sounding English speech, making it an excellent choice for users who need a lightweight solution without compromising too much on quality. However, it may not match the expressiveness and nuance of the top pick, Kokoro 82M TTS.
- #3
Piper TTS - Lessac (English)0.02B · mit · min 0.1GB
Another high-quality English TTS model with a small footprint.
Piper TTS - Lessac (English) is a close third, providing similar quality (85%) and resource requirements (0.02B parameters, 0.1GB VRAM) as Piper TTS - Amy. Also licensed under the MIT license, it is a solid choice for English TTS with a focus on naturalness and clarity. While it may not offer the same level of expressiveness as Kokoro 82M TTS, it is a reliable and efficient alternative, especially for users with limited hardware resources.
- #4
Piper TTS - LibriTTS-R (English)0.02B · mit · min 0.6GB
A robust English TTS model with slightly lower quality but higher VRAM requirements.
Piper TTS - LibriTTS-R (English) is a capable model with a slightly lower quality (80%) and higher VRAM requirements (0.6GB). With 0.02B parameters, it is still relatively lightweight but may not be suitable for the lowest-end hardware. Licensed under the MIT license, it is a good choice for users who need a balance between quality and resource usage. While it may not be the best for voice cloning, it is a solid option for general TTS tasks where a bit more VRAM is available.
- #5
Piper TTS - Spanish (MLS)0.02B · mit · min 0.1GB
A high-quality Spanish TTS model with minimal resource requirements.
Piper TTS - Spanish (MLS) is a strong option for Spanish TTS, offering good quality (80%) with minimal resource requirements (0.02B parameters, 0.1GB VRAM). Licensed under the MIT license, it is easy to deploy and suitable for a wide range of hardware. This model is particularly useful for users who need a reliable and efficient Spanish TTS solution. While it may not match the quality of the top picks, it is a solid choice for Spanish-language applications.
Hardware guidance
For voice cloning and custom TTS, a GPU with at least 8GB of VRAM is recommended to ensure smooth and efficient performance. Users with 12GB or more VRAM can run larger models like Kokoro 82M TTS without issues. For those with 8GB VRAM, models like Piper TTS - Amy or Lessac are ideal. If you have only 4GB VRAM, consider using the smallest models like Piper TTS - Amy or Spanish (MLS), but be aware that performance may be limited.
When to skip local
While local models offer significant advantages, they may still fall short in scenarios requiring massive scale or real-time processing across multiple languages. In such cases, hosted APIs like Google Cloud Text-to-Speech or Amazon Polly provide superior scalability and performance. Consider these options if your project demands extensive language support or high concurrency.
Need a guide for a different use case? See all 50 buyer's guides →