NVIDIA Magpie TTS
NVIDIA Magpie TTS: A capable multilingual TTS stack with free prototyping and costly production licensing. Ranked #9 of 222 in Text-to-Speech Software by our editors (8.6/10); pricing: Free plan · 90-day trial; best for NVIDIA infrastructure teams deploying self-hosted TTS.
At a glance
- Editor score8.6 / 10
- PricingFree plan · 90-day trial
- Best forNVIDIA infrastructure teams deploying self-hosted TTS
- Free planYes
- Paid from$4,500/device/yr
- Commercial useYes
- Facts checked20 Sep 2026
Where it wins
- Supports streaming, offline, batch, and long-form inference
- Offers zero-shot voice cloning and selected emotional voice styles
- Provides HTTP, gRPC, and Docker-based NIM deployment options
Where it doesn't
- Production use requires NVIDIA AI Enterprise licensing
- Commercial pricing starts at $4,500 per GPU annually
- WAV is the listed audio output format
Our verdict on NVIDIA Magpie TTS
NVIDIA Magpie TTS Multilingual is a neural text-to-speech model for voice applications, available through NVIDIA NIM. It is aimed at teams building voice agents, brand ambassadors, and offline multilingual speech generation. The model supports 12 languages, streaming and offline inference, zero-shot voice cloning with an optional reference utterance, and built-in voices with selected emotional styles. It can be accessed through NVIDIA-hosted APIs or deployed as a Docker-based NIM microservice on supported NVIDIA GPU infrastructure.
The pricing structure separates experimentation from production. The NVIDIA Developer Program provides free API access for prototyping, plus downloadable NIM access for research, development, and testing. NVIDIA also lists a 90-day free trial. Production NIM access is included in NVIDIA AI Enterprise, priced at $4,500 per GPU per year with annual billing. That tier adds enterprise-grade security, support, and API stability. The published commercial price is for NVIDIA AI Enterprise rather than a product-specific hosted API rate, so teams should evaluate the licensing model alongside their GPU deployment requirements.
Its strongest fit is an NVIDIA-centered, self-hosted environment that needs more than basic sentence synthesis. HTTP and gRPC APIs, Docker deployment, batch and long-form processing with sliding-window processing, custom dictionaries, and code-switching support through IPA grapheme-to-phoneme processing give it a broad implementation surface. WAV output is the listed format, and the model’s deployment path centers on NVIDIA NIM, NVIDIA Riva, and supported NVIDIA GPU infrastructure. Choose Magpie TTS for multilingual production workloads that value control over inference and deployment; teams seeking low-cost commercial access or a broader output-format choice should consider alternatives.
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NVIDIA Magpie TTS pricing
All 2 NVIDIA Magpie TTS plans and prices →
NVIDIA Magpie TTS fact sheet
| Free plan | Yes |
|---|---|
| Paid from | $4,500/device/yr |
| Commercial use | Yes |
| Voice cloning | Yes |
| API access | Yes |
| Languages | 12 languages |
| Maximum input | Not verified |
| Export formats | WAV |
| Platforms | web, linux, api, self_hosted |
| Free trial | 90 days |
| Deployment | Cloud, Self-hosted |
| Platforms | Web, Linux |
| Support | Community, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 5 integrations: NVIDIA NIM, NVIDIA Riva, HTTP API, gRPC API, Docker |
| Pricing | Free plan · 90-day trial (source) |
| Website | build.nvidia.com |
| Facts checked | 20 Sep 2026 |
NVIDIA Magpie TTS integrations
NVIDIA Magpie TTS lists 5 integrations on its own site.
- NVIDIA NIM
- NVIDIA Riva
- HTTP API
- gRPC API
- Docker
Alternatives to NVIDIA Magpie TTS
- ElevenLabsAffordable voice cloning with multilingual generation, dubbing, streaming, and API access.9.4
- Google Cloud Text-to-SpeechA broad, API-only TTS service for developers building voice-enabled products.9.3
- Azure AI SpeechA broad, production-ready TTS platform for teams building voice applications.9.2
See all NVIDIA Magpie TTS alternatives →
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The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used NVIDIA Magpie TTS for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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