Svara TTS V1

Svara-TTS v1 is a multilingual text-to-speech model that generates speech in 19 languages (18 Indic languages plus Indian English) using an Orpheus-style discrete audio token architecture. It supports end-of-utterance emotion/style tags (<happy>, <sad>, <anger>, <fear>, <clear>) and simple speaker identity conventions (Language + Gender). The model is optimized for low-latency deployment on commodity GPUs and CPUs, and is LoRA-friendly for speaker or domain adaptation.

Key capabilities

• 38 voice profiles — male and female voices for each of the 19 languages.
• Streaming audio generation with low-latency output.
• OpenAI-compatible API — the inference server exposes a drop-in replacement for the /v1/audio/speech endpoint, usable with the OpenAI Python SDK.
• Multiple output formats — MP3, Opus, AAC, WAV, and raw PCM via ffmpeg.
• Zero-shot voice cloning from a short audio reference.
• Long-text chunking — automatic sentence-boundary splitting with crossfade stitching for long inputs.

Training and data

Trained on more than 2,000 hours of open, high-quality speech from SYSPIN, RASA, IndicTTS, and SPICOR, covering approximately 50 speakers (balanced male/female) across 19 languages. The model encourages natural prosody and cross-lingual transfer.

Adoption

As of early 2026, the model has surpassed 500,000 downloads on Hugging Face and ranked #7 globally on the platform in February 2026.

Deployments include applications in agriculture (2,500,000+ farmers served), retail (60% faster checkout), and accessibility (100,000 blind lives impacted) through partner organizations.