Open SourceApache-2.0Available on Hugging Face

Introducing
Aguken TTS

Natural Hindi speech generation, open sourced for developers, researchers, and AI builders.

View on Hugging Face

The Problem

What's Missing in Indian TTS?

Low Quality

Most Hindi TTS still sounds robotic and flat — thin prosody, mechanical stress, and none of the warmth of a real speaker.

Not Reliable

Output drifts across sessions and breaks down on longer passages, mispronouncing words or losing the sentence midway.

Not Consistent

The same input returns a different result each run. Without speaker stability, a voice can't be trusted to stay one voice.

Despite advances in speech AI, high-quality Hindi TTS remains difficult to access, deploy, and scale.

Meet Aguken TTS

Built specifically for natural, reliable, and scalable Hindi speech generation.

Studio-Quality Voices

Trained on thousands of hours of high-fidelity Hindi audio for indistinguishable natural prosody.

अगुकेन

Indian Context Understanding

Natively processes complex Devanagari text, handling English loan words and numbers effortlessly.

Reliable Outputs

Deterministic inference ensures the exact same high-quality output every time you generate.

Scalable Infrastructure

Optimized for rapid inference on consumer GPUs, allowing seamless scaling from research to production.

Listen to Our Samples

Prerendered samples from aguken-tts-small.

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