FREEDOM251

Freedom251 › Speech-to-Text Software

NVIDIA Riva

Free plan APILinuxSelf-hostedWeb

Visit NVIDIA Riva Alternatives Pricing

NVIDIA Riva's own site

What NVIDIA Riva is

NVIDIA Riva is a GPU-accelerated SDK for building customizable speech AI applications with real-time performance. Its Speech server API provides speech recognition, speech synthesis, and natural language processing. Automatic speech recognition supports streaming transcription with intermediate results as well as offline or batch processing, plus punctuation, word-level timestamps and confidences, speaker diarization, speech hints, and automatic speech translation. Text-to-speech supports streaming and offline inference, SSML, audio encoding, and custom pronunciation dictionaries; Zero Shot TTS and emotion mixing are beta features. Riva supports pretrained NGC models and custom-trained NVIDIA NeMo models. It can run in cloud, on premises, or at the edge, with data processed on premises or in a customer cloud. API, Linux, and self-hosted use are listed, with Python, command-line, gRPC, and Protocol Buffers interfaces. Pricing includes a free plan, a free 90-day trial, paid access from $1, and a Google Cloud VMI plan on request, billed $60 per GPU hour.

Who it suits

Riva suits developers building speech applications that need recognition, synthesis, natural language processing, or customizable models. It is also relevant to teams deploying in cloud, on-premises, or edge environments.

What it does well

  • Speech recognition, synthesis, and natural language processing
  • Streaming and offline recognition modes
  • SSML and custom pronunciation dictionaries
  • Cloud, on-premises, and edge deployment
  • Free plan and 90-day trial

What to know first

  • GPU license grant excludes production use
  • Zero Shot TTS and emotion mixing are beta
  • Google Cloud VMI bills $60 per GPU hour

Limits

The free access includes a 90-day trial, while paid access is listed from $1. The Google Cloud VMI plan is billed at $60 per GPU hour for high-performance GPUs such as NVIDIA A100, and Zero Shot TTS and emotion mixing are beta features.

Plans

PlanBilled and limitsPrice
NVIDIA API CatalogFree access for individuals through managed API and UI demos · Sample data · NVIDIA-managed endpointsFree
NVIDIA AI Enterprise trial90 days · Evaluation access to Riva workflows, containers and pretrained modelsFree
NVIDIA Riva on Google Cloud VMI$60 per GPU hour for high-performance GPUs such as NVIDIA A100 · Alternative GPU options or private offers require contacting NVIDIA$60
NVIDIA Riva Enterprise1-year or 3-year subscription terms · Unlimited workloads · ASR and TTS subscriptions · Enterprise supportOn request

As developer.nvidia.com lists them, read 21 Oct 2026. The maker's own page has the final word.

Getting started

  1. Open the NVIDIA Riva developer page
  2. Choose API, Linux, or self-hosted use
  3. Use the free plan or start the 90-day trial
  4. Deploy in the cloud, on premises, or at the edge
  5. Install or connect through Python, command-line, gRPC, or Protocol Buffers interfaces
  6. Select pretrained NGC models or custom NeMo models

Verdict

NVIDIA Riva combines broad speech features with multiple deployment models and developer interfaces. Its free access options lower the entry point, while GPU licensing terms and paid GPU-hour usage require review.

Questions

Does NVIDIA Riva have a free plan or trial?

Yes. It has a free plan and a free 90-day NVIDIA AI Enterprise trial.

What does the Google Cloud VMI plan cost?

It is priced on request and billed at $60 per GPU hour for high-performance GPUs such as NVIDIA A100.

Which platforms and deployment environments are supported?

Riva supports API, Linux, and self-hosted use, with cloud, on-premises, and edge deployment.

What speech functions are included?

The Speech server API provides speech recognition, speech synthesis, and natural language processing. Recognition includes streaming and offline or batch modes.

Does it support SSML and custom models?

Yes. Text-to-speech supports SSML, and developers can use custom-trained models with NVIDIA NeMo.

Are there beta features?

Zero Shot TTS and emotion mixing are listed as beta features.

Facts from NVIDIA Riva's own pages

API protocol
Riva services are exposed through gRPC endpoints, with Python client interfaces supplied for application integration. · developer.nvidia.com, 21 Oct 2026
Automatic speech recognition
Riva provides customizable real-time and offline automatic speech recognition across languages including Arabic, Mandarin, English, French, German, Hindi, Italian, Japanese, Korean, Portuguese, Russian and Spanish. · nvidia.com, 21 Oct 2026
Beta features
Zero Shot TTS and emotion mixing are listed as beta features. · docs.nvidia.com, 10 Oct 2026
Company founding
NVIDIA was founded on April 5, 1993 by Jensen Huang, Chris Malachowsky and Curtis Priem. · nvidia.com, 21 Oct 2026
Company headquarters and size
LinkedIn lists NVIDIA headquarters in Santa Clara, California and company size above 10,001 employees. · linkedin.com, 21 Oct 2026
Company legal name
The product is made by NVIDIA Corporation. · nvidia.com, 21 Oct 2026
Container and Kubernetes support
Riva is distributed as containers and includes Quick Start scripts and a Speech AI Skills Helm chart for Kubernetes deployments. · catalog.ngc.nvidia.com, 21 Oct 2026
Customization
Pretrained models can be fine-tuned with custom datasets and optimized for domain-specific speech and translation workloads. · developer.nvidia.com, 21 Oct 2026
Data handling
NVIDIA says Riva data can be processed on premises or in the customer’s cloud. · docs.nvidia.com, 10 Oct 2026
Deployment
Riva supports deployment in the cloud, on premises, and at the edge, with scaling to hundreds of thousands of concurrent users. · docs.nvidia.com, 10 Oct 2026
Deployment options
Riva can run on premises, in public clouds, at the edge and on embedded devices. · developer.nvidia.com, 21 Oct 2026
Deployment tooling
Riva supports Helm-managed cloud deployment. · docs.nvidia.com, 10 Oct 2026
Documentation depth
The documentation hub includes installation, Python and command-line clients, sample apps, model references, gRPC and Protocol Buffers, troubleshooting and upgrade guidance. · docs.nvidia.com, 21 Oct 2026
Embedded software stack
The current embedded matrix lists Ubuntu 24.04, CUDA 13.0.48, cuDNN 9.12.0, TensorRT 10.13.2.6, Triton 2.60.0 and Docker 28 or newer. · docs.nvidia.com, 21 Oct 2026
Founded
1993 · developer.nvidia.com, 28 Sept 2026
GetApp integration listing
GetApp lists Docker as Riva's single top integration and shows no submitted user reviews. · getapp.com, 21 Oct 2026
GPU platform requirement
The Riva license terms describe internal test and development use on systems that include NVIDIA GPUs, excluding production use under that grant. · docs.nvidia.com, 10 Oct 2026
GPU requirement
Riva development supports NVIDIA Turing or newer GPUs, with 16 GB or more of GPU memory recommended for data-center models. · docs.nvidia.com, 21 Oct 2026
Headquarters
Santa Clara, California, USA · developer.nvidia.com, 28 Sept 2026
HTTP and WebSocket APIs
Riva 2.26 adds WebSocket real-time and HTTP REST APIs for ASR and TTS on Jetson platforms. · docs.nvidia.com, 21 Oct 2026
Integration interfaces
Riva documents Python and command-line clients, and provides gRPC and Protocol Buffers API references. · docs.nvidia.com, 10 Oct 2026
Latency target
NVIDIA describes optimized Riva inference as running below 150 milliseconds and real-time interaction as below 300 milliseconds. · developer.nvidia.com, 21 Oct 2026
License status
Riva server software is distributed under NVIDIA license terms rather than an open-source license; the public client repositories use MIT licenses. · catalog.ngc.nvidia.com, 21 Oct 2026
Limit: cost model
A G2 reviewer says GPU-based pricing is unsuitable for many users. · g2.com, 21 Oct 2026

Where NVIDIA Riva stands on Freedom251

Look at these too