Discover KaniTTS, the revolutionary open-source text-to-speech engine that delivers commercial-grade quality with unprecedented speed. Built by NineNineSix AI, KaniTTS generates 15 seconds of natural, human-like speech in just 1 second on consumer hardware, making professional TTS accessible to everyone.
Experience KaniTTS real-time speech generation. The demo is hosted on Hugging Face Spaces and may take a moment to initialize if the space is sleeping.
KaniTTS represents a breakthrough in open-source text-to-speech technology, combining commercial-grade quality with the freedom and flexibility of Apache 2.0 licensing. Whether you're a developer, researcher, or business owner, KaniTTS offers the performance and features you need without vendor lock-in or usage fees.
KaniTTS achieves true real-time speech synthesis, generating 15 seconds of natural audio in just 1 second on consumer-grade NVIDIA RTX 5080 GPUs. This performance level makes KaniTTS ideal for interactive applications, live streaming, gaming, and real-time communication systems where latency matters.
Despite being open-source, KaniTTS delivers audio quality that matches leading commercial platforms like ElevenLabs, OpenAI, and Google Cloud TTS. The 450M parameter model captures meaning, emotion, rhythm, and nuance, producing speech that sounds spontaneous and truly human-like.
With KaniTTS, you eliminate per-character or per-minute usage fees entirely. The Apache 2.0 license allows unlimited commercial use without royalties. Already downloaded over 15,000 times on Hugging Face, KaniTTS has proven its value to thousands of developers and organizations worldwide.
Unlike cloud-dependent solutions, KaniTTS runs efficiently on edge devices and affordable servers. The optimized 450M parameter architecture delivers 22kHz audio at just 0.6kbps compression, making KaniTTSperfect for IoT devices, embedded systems, and offline applications.
Built with cutting-edge AI technology, KaniTTS employs a sophisticated two-stage architecture that combines advanced language modeling with high-fidelity audio generation.
Parameters: 450M optimized
Framework: PyTorch 2.0+
Processing: Two-stage pipeline
Inference: CUDA-accelerated
Sample Rate: 22kHz
Compression: 0.6kbps
Codec: NVIDIA optimized
Bitrate: Adaptive
Speed: 15x real-time
Latency: <100ms startup
Memory: 2GB VRAM min
GPU: RTX 3060+ recommended
KaniTTS supports 8 languages with native-like pronunciation and natural prosody patterns
Captures and reproduces emotional nuances for more expressive and engaging speech output
Real-time audio streaming with chunk-based processing for immediate playback and reduced perceived latency
Adaptive mechanisms that improve performance over time with fine-tuning and custom voice training
From gaming to education, healthcare to entertainment, KaniTTS powers voice experiences across diverse industries and applications.
Integrate KaniTTS into video games for dynamic NPC dialogue, real-time voice chat moderation, and interactive storytelling experiences that respond instantly to player actions.
Create engaging educational content with KaniTTS narration for online courses, language learning apps, audiobooks, and interactive tutorials that make learning more accessible.
Power screen readers, assistive technologies, and accessibility tools with KaniTTS to help visually impaired users navigate digital content with natural-sounding speech.
Generate professional voiceovers for YouTube videos, podcasts, audiobooks, and marketing content using KaniTTSwithout expensive studio time or voice talent fees.
Build intelligent IVR systems, virtual assistants, and automated customer support solutions with KaniTTSthat provide natural, empathetic responses to customer inquiries.
Deploy KaniTTS on edge devices like smart speakers, home automation systems, and embedded devices for responsive voice feedback without cloud connectivity.
Start using KaniTTS in your projects today with these simple integration options:
Access the KaniTTS model directly from Hugging Face Hub, where it has been downloaded over 15,000 times by the AI community. The complete model package includes pre-trained weights and inference code.
huggingface-cli download nineninesix/kanittsGet the complete KaniTTS source code, documentation, and examples from the official GitHub repository. Includes FastAPI server, streaming support, and integration samples.
git clone https://github.com/nineninesix-ai/kani-tts.gitKaniTTS requires Python 3.10+ and CUDA-capable GPU. Install dependencies using pip to get started with local inference or server deployment.
pip install -r requirements.txtJoin thousands of developers who have already discovered the power of KaniTTS open-source text-to-speech technology. Try the demo above or explore the GitHub repository to integrate KaniTTS into your next project.