---
id: nvidia-riva-client
version: "2.27.0"
license: MIT
license_treatment: permissive
maintenance: active
---

# nvidia-riva-client — Python implementation of the Riva Client API

License: permissive · Maintenance: active · Downloads: 570.2K/mo

## What it is and what it does

nvidia-riva-client is a Python client library for interacting with NVIDIA Riva, a GPU-accelerated Speech AI platform. It provides three main service classes—ASRService for speech recognition, TTSService for text-to-speech, and NLPService for natural language processing—along with command-line scripts demonstrating streaming transcription, real-time WebSocket-based synthesis, and NLP tasks like intent detection, named entity recognition, and punctuation restoration.

The package depends on grpcio, grpcio-tools, websockets, and protobuf to communicate with a Riva server backend. It supports both streaming and offline modes, with optional real-time audio I/O via microphone and speaker (when PyAudio is installed separately). The library is actively maintained, supports Python 3.7 and later, and carries no known security vulnerabilities.

Use it for:

- Build a real-time speech transcription application that streams audio from a microphone and returns live transcripts with intermediate results.
- Integrate text-to-speech synthesis into a conversational AI system to generate spoken responses from text via WebSocket connections.
- Process batch audio files for offline transcription with optional word-boosting to improve accuracy on domain-specific terminology.
- Implement intent and slot recognition in a chatbot to extract user intent and entities from natural language queries.
- Add named entity recognition or punctuation restoration to a document processing pipeline for text normalization.
- Perform text classification on user inputs to route queries to appropriate downstream services.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Client library for NVIDIA Riva, a GPU-accelerated Speech AI SDK providing APIs for automatic speech recognition, text-to-speech synthesis, and natural language processing tasks.

Yes. The package is actively maintained, has low install friction, carries no known vulnerabilities, and offers a permissive MIT license. Install it if you need to build Speech AI applications with NVIDIA Riva; the main prerequisite is having a Riva server running and, for audio I/O features, PyAudio installed separately.

## Install

pip install nvidia-riva-client
uv add nvidia-riva-client
poetry add nvidia-riva-client

## Installing nvidia-riva-client

Before you install: Low install friction with a pure Python wheel and four standard gRPC-based runtime dependencies. Active maintenance with a recent release and ongoing repository activity.

License in practice: MIT license permits unrestricted use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects.

Quickstart:

pip install nvidia-riva-client

from riva.client import ASRService

asr_service = ASRService()
transcript = asr_service.transcribe_file('audio.wav')

Requires a running NVIDIA Riva server; audio I/O features (microphone, speaker) require PyAudio installed separately via conda.

Verify before relying:

- Whether Riva server setup complexity or licensing requirements affect practical deployment beyond the client library itself
- Performance characteristics and latency profiles for streaming vs. offline modes under typical workloads
- Compatibility with specific Riva server versions and any breaking changes across releases

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 570.2K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

speech recognition client, text to speech synthesis, GPU accelerated NLP, riva speech AI, ASR TTS NLP client, NVIDIA speech processing, real-time transcription, speech-recognition, gpu-accelerated, grpc-client

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