Very Fast
Speed
Good
Quality
No
Cloning
10
Languages
About VITS
VITS (Variational Inference with adversarial learning for end-to-end Text-to-Speech) is a fast, end-to-end neural TTS model that generates natural-sounding speech. It combines variational autoencoders with adversarial training for efficient synthesis. VITS is excellent for batch processing and applications requiring both quality and speed.
Key Features
Fast Synthesis
End-to-end architecture for rapid speech generation.
Batch Processing
Efficiently process multiple texts simultaneously.
Natural Speech
VAE+GAN training produces natural prosody and rhythm.
Multi-Speaker
Single model supports multiple speaker voices.
Efficient
Low memory footprint with good performance.
Open Source
MIT licensed for any use case.
Use Cases
Batch Audio Generation
E-Learning Platforms
News Readers
Automated Announcements
IVR Systems
High-Volume Content
VITS Voices
View All 109LJSpeech (English Female)
ENVCTK Speaker 225 (English Female)
ENVCTK Speaker 226 (English Male)
ENVCTK Speaker 227 (English Male)
ENVCTK Speaker 228 (English Female)
ENVCTK Speaker 229
ENVCTK Speaker 230
ENVCTK Speaker 231
ENVCTK Speaker 232
ENVCTK Speaker 233
ENVCTK Speaker 234
ENVCTK Speaker 236
ENFrequently Asked Questions
VITS (Variational Inference with adversarial learning for Text-to-Speech) is an end-to-end neural TTS model that combines VAE and GAN training. It generates natural speech quickly and efficiently.
Yes, VITS is open-source under MIT license. On TextToSpeechAI, we charge just 10 credits per 1000 characters (Standard tier) due to its efficient resource usage.
VITS supports multiple languages depending on the trained model. Common versions support English, Chinese, Japanese, Korean, German, French, and other major languages with dedicated models.
VITS is very fast, generating speech in real-time or faster on GPU. Its end-to-end architecture avoids the multiple processing stages of other models, enabling rapid synthesis.
Standard VITS does not support voice cloning - it uses pre-trained speaker models. For voice cloning, use StyleTTS2, F5-TTS, OpenVoice, or Tortoise instead.
VITS produces good quality audio with natural prosody. While not at the level of StyleTTS 2 or Tortoise, it offers excellent quality for its speed, especially for batch processing scenarios.
VITS is very memory-efficient, requiring only 1-2GB of VRAM. It runs well on consumer GPUs and can even work on CPU with reasonable performance.
Yes, VITS is MIT licensed and supports full commercial use without restrictions. It is widely used in commercial products and services.
Select a VITS voice from our voice library (marked with VITS badge) and use it in your API requests. VITS is great for applications needing fast turnaround on many requests.
VITS outputs WAV audio at 22050Hz natively. Through TextToSpeechAI, you can request MP3, WAV, or OGG formats with automatic conversion.
Yes, VITS supports speed adjustments and some models support pitch modification. These allow customization of the voice output for different use cases.
VITS offers an excellent speed-quality balance for standard TTS needs. It is similar to Piper in speed but with slightly higher quality. For voice cloning, use other models. For highest quality, use StyleTTS 2.
Technical Specs
- Generation Speed Very Fast
- Output Quality Good
- Voice Cloning Not Supported
- Languages 10
- GPU VRAM 1-2GB
- Credits/1000 chars 10