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Parrot Speech-to-text API

Fast, accurate STT for production-grade voice agents

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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.

PH · launched May 26, 2026 · 194 upvotes (top 70%) · 0 views

Niche: speech and text conversion software · 100 launches, 5 in the last 7 days ▼ -67% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Commercial product
  • API
  • Artificial Intelligence
  • Audio

Visit website ↗ Source listing ↗

Could you build this?

No Training custom, production-grade low-latency multilingual speech-to-text models for noisy Hinglish speech requires extensive proprietary audio datasets and deep speech ML engineering.

What it would actually take: This requires collecting and labeling thousands of hours of accented and code-switched Hindi-English audio, fine-tuning or training acoustic and language models (e.g. Conformer, Whisper, or CTC-based architectures) on GPU clusters, and optimizing streaming inference with TensorRT-LLM/ONNX to hit sub-200ms latency. It demands specialized speech recognition researchers, extensive data pipeline engineering, and high-performance C++ inference infrastructure.

Competitors

Other products that read as similar to this one : 631 launches clear the similarity bar, closest 8 shown.

Attention rank: #530 of 632 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 208 days after the earliest competitor.

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