Launched this week
Introducing Parrot: Ringg’s speech-to-text model for production-grade voice agents. Capture Hindi-heavy and noisy real-world conversations with low-latency inference, stronger transcript quality, and Hindi validation built for downstream workflows.
Congratulation on the launch! Btw, when I mix English with Hindi, I observed its little biased towards transcribing English in Hindi (using Devnagri glyph). Latency is impressive
Thanks @ashishkingdom ! That’s a fair observation.
For code-mixed conversations where the dominant language is Hindi, this can happen but when English is the dominant language, it should work as expected.
This is one of the expected behaviours.
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Haha, how can something be this useful and this scary simultaneously!? As someone with a name most humans can't spell right, I look forward to the day when this is no longer an issue.
Exactly! Names are where STT gets very real very fast.
A big part of Parrot’s focus is making these real-world details more reliable, especially in Indian conversations.
Just tried this out, amazing speed and accuracy. Great work!
Thanks Vedant, really appreciate you trying it out!
Speed + accuracy was the core goal for us because voice agents need both. A transcript has to be right, but it also has to arrive fast enough to keep the conversation natural.
Riff
Best for voice AI use case!!
Try this out with easy to integrate package https://www.ringg.ai/dashboard/stt