Hindi-English code-mixed recognition
Transcribes Hindi, English, and code-mixed speech for workflows that need multilingual recognition in one streaming model.
Ringg AI
Ringg Parrot STT V1 is a real-time speech-to-text API for voice AI agents, contact centers, and transcription workflows. It supports Hindi, English, and code-mixed speech, with a playground for evaluation and production access handled by Ringg AI approval.
Overview
Ringg Parrot STT V1 is Ringg AI’s real-time speech-to-text API for voice AI agents, contact centers, and business transcription workflows. It is positioned for Hindi, English, and code-mixed speech, with a focus on low-latency streaming recognition.
The product page presents the model as proprietary and invites users to evaluate it in a playground before requesting production access. Developers can integrate it through the Ringg SDK, use the Python package on PyPI, and connect it to voice-agent pipelines such as Pipecat.
Features
Real-time streaming output
Supports low-latency streaming transcription for voice products and AI agents, with the page calling out a typical streaming latency of 60 ms.
File transcription support
Includes file-based transcription for common audio formats, alongside the streaming workflow.
Broad audio format support
Works with WAV, MP3, FLAC, M4A, OGG, and OPUS, and recommends 16 kHz or higher sample rates for best results.
Developer integration options
Provides a Python SDK through the `ringglabs` package and is described as compatible with Pipecat via built-in VAD events.
Private model access model
Uses a proprietary model and implementation, with production and commercial access handled through Ringg AI approval.
Use Cases
Voice AI agents
Build streaming speech-to-text into conversational agents that need to listen and respond while a call is in progress.
Contact center transcription
Transcribe customer conversations for support, QA, and routing workflows where low-latency text output matters.
Meeting and conversation intelligence
Capture spoken content in meetings or interviews and turn it into text for review and follow-up.
Search, subtitling, and accessibility
Support voice search, subtitles, and accessibility workflows that benefit from file-based transcription.
Product evaluation and testing
Evaluate Hindi-English recognition and deployment behavior in the playground before requesting production access.
Pros and Cons
Pros
- Supports real-time streaming transcription for voice products.
- Covers Hindi, English, and code-mixed speech.
- Includes both a playground and production access path.
- Offers Python SDK and Pipecat-compatible integration support.
- Documents supported audio formats and sample-rate guidance.
Cons
- Production and commercial access require Ringg AI approval.
- The model is proprietary, and the weights are not available for download.
- Accuracy may vary with noisy audio, overlapping speakers, or unsupported encodings.
FAQ
What is Ringg Parrot STT V1 used for?
It is a real-time speech-to-text API for voice AI agents and other streaming voice workflows. The product page describes Hindi, English, and code-mixed recognition, plus a separate playground and production access flow.
How do developers integrate it?
The source says you can view the Python SDK and try the playground from the product page. It also notes that the Python SDK is available through the `ringglabs` package on PyPI.
How is the speech-to-text API priced?
The pricing page lists the Speech-to-Text API at $0.35 per hour for real-time streaming transcription, with up to 30 concurrent connections included. It also says higher concurrency and custom rates are available for high-throughput workloads.
Is the model open source or self-hosted?
The product page says the model is proprietary and that the model weights are not open sourced or available for download. It also states that production and commercial access require Ringg AI approval.
What audio formats and limitations should users expect?
The product page shows supported audio formats including WAV, MP3, FLAC, M4A, OGG, and OPUS, and recommends 16 kHz or higher sample rate for supported inputs. It also notes that accuracy may vary with noisy audio, overlapping speakers, dialect variation, or unsupported encodings.
Quick Facts
- Category
- Speech-to-text API
- Primary use
- Voice AI agents and real-time transcription
- Languages
- Hindi, English, code-mixed speech
- Pricing
- Usage-based; $0.35/hour for the STT API on the pricing page
- Access
- Playground available; production access requires approval
- Source domain
- ringg.ai
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