The ASR & NLI API stack outperforming OpenAI, Google, and Meta — now open to 99 early users. Real-time transcription, inference, and summarization. Runs on CPU, zero infra required. Join the waitlist and get free tokens to start building instantly.
Tried Shunya Labs out of curiosity and was impressed.. transcription is quick, and the summarization works well. Super easy to set up, no fancy hardware needed. Worth checking out if you’re into AI tools.
Had a great experince using the ASR model developed by their team - Pingala V1. I use it for converting my videos files into subtitles which I can edit into my videos before uploading to YT.
Tried the demo on their website. Clean interface and very nice experience. Even the demo worked smoothly and the best part is the ASR model is so accurate. Tried in multiple languages as well. All worked well. Worth giving it a try if you have a use case where ASR model is required.
Didn’t expect much, but Shunya Labs honestly surprised me. Fast, accurate voice transcription without any fancy setup. It handled multiple accents and languages way better than I expected. Definitely worth keeping an eye on.
As a backend enthusiast always exploring cutting-edge tech, Shunya Labs' speech intelligence stack immediately caught my attention and it absolutely delivers on its bold claims.
The Pingala V1 ASR model offers remarkable accuracy even in noisy conditions, and the choice between Verbatim and Enhanced modes shows thoughtful attention to real-world transcription needs. I’m genuinely excited to see upcoming TTS (B1) and Voice-to-Voice (A1) models evolve.
Absolutely! As developers, we need to focus on cutting costs and maximizing accuracy. This product is definitely worth keeping an eye on.
As a QA engineer, I love how smooth and clean everything feels. The UI is neat, nothing feels clunky, and everything just works even on low-end machines. Loved how stable and fast the AI features are. Works smoothly even for non-techies ;)
