Fast, accurate STT for production-grade voice agents
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.
Thrilled to introduce Parrot, Ringg’s speech-to-text model built for production-grade voice agents.
Most STT models do well on clean audio. Voice agents don’t get clean audio. They deal with compressed phone calls, Hindi-English code-switching, Indian accents, background noise, and conversations where one misheard word can break the next action.
What makes it different:
🦜 Built for real world calls 🦜 Low latency inference for smoother voice agent conversations 🦜 Hindi validation and normalization for cleaner downstream workflows 🦜 Strong Normalised WER performance on open-source Hindi benchmarks
For teams building voice agents, Parrot helps turn messy speech into cleaner transcripts that LLMs can actually use.
Try it out and let us know what you're building with it!
About Parrot Speech-to-text API on Product Hunt
“Fast, accurate STT for production-grade voice agents”
Parrot Speech-to-text API launched on Product Hunt on May 26th, 2026 and earned 148 upvotes and 19 comments, placing #5 on the daily leaderboard. 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.
On the analytics side, Parrot Speech-to-text API competes within API, Artificial Intelligence and Audio — topics that collectively have 569.6k followers on Product Hunt. The dashboard above tracks how Parrot Speech-to-text API performed against the three products that launched closest to it on the same day.
Who hunted Parrot Speech-to-text API?
Parrot Speech-to-text API was hunted by Parth Chadha. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Reviews
Parrot Speech-to-text API has received 1 review on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
For a complete overview of Parrot Speech-to-text API including community comment highlights and product details, visit the product overview.
Parth Chadha
Hey Product Hunt 👋
Thrilled to introduce Parrot, Ringg’s speech-to-text model built for production-grade voice agents.
Most STT models do well on clean audio. Voice agents don’t get clean audio. They deal with compressed phone calls, Hindi-English code-switching, Indian accents, background noise, and conversations where one misheard word can break the next action.
What makes it different:
🦜 Built for real world calls
🦜 Low latency inference for smoother voice agent conversations
🦜 Hindi validation and normalization for cleaner downstream workflows
🦜 Strong Normalised WER performance on open-source Hindi benchmarks
For teams building voice agents, Parrot helps turn messy speech into cleaner transcripts that LLMs can actually use.
Try it out and let us know what you're building with it!