Transcribe with NVIDIA Parakeet
3.0%
WER
1
Languages
55.0x
Speed
CC-BY-4.0
License
About NVIDIA Parakeet
NVIDIA Parakeet TDT 1.1B is a state-of-the-art English ASR model using FastConformer architecture with Token-and-Duration Transducer (TDT). It achieves near-human accuracy on standard English benchmarks and is highly optimized for NVIDIA GPUs.
Languages Supported by NVIDIA Parakeet
Model Info
- ProviderNVIDIA
- Architecture-
- LicenseCC-BY-4.0
- UpdatedMar 2026
Frequently Asked Questions
NVIDIA Parakeet is a speech-to-text model by NVIDIA. STT.ai hosts NVIDIA Parakeet on our GPU infrastructure so you can use it without provisioning your own hardware — upload audio or video and pick NVIDIA Parakeet from the model picker.
On standard benchmarks, NVIDIA Parakeet achieves around 3.0% Word Error Rate. Real-world accuracy depends on audio quality, accent, and language; for noisy or accented recordings, expect a few percentage points higher WER.
NVIDIA Parakeet runs on STT.ai's free tier — every visitor gets 600 minutes/month at no cost. Paid plans add longer per-file limits, private transcripts, and priority queueing.
NVIDIA Parakeet is released under CC-BY-4.0, a permissive open-source license. You can self-host NVIDIA Parakeet on your own hardware or use our hosted version — both are commercially usable.
NVIDIA Parakeet supports 1 languages. Auto-detection picks the right language for most audio; you can also specify it manually for a small accuracy lift.
NVIDIA Parakeet processes audio at about 55.0x real-time on our GPUs. A 1-hour audio file finishes in under 1 minutes; longer files queue and notify by email when done.
NVIDIA Parakeet has 1.1B parameters. Larger models tend to be more accurate but slower; STT.ai hosts NVIDIA Parakeet on GPU so the parameter count doesn't affect your client-side performance.
NVIDIA Parakeet accepts every format STT.ai supports — MP3, WAV, M4A, FLAC, OGG, MP4, MKV, MOV, WebM, AVI, and others. Output as TXT, SRT, VTT, DOCX, JSON, or PDF.
Yes. Speaker diarization runs alongside NVIDIA Parakeet for every transcription — each speaker is labeled and you can rename them in the editor afterwards.
Yes. NVIDIA Parakeet runs in our managed environment — audio is processed and deleted by default and never used for training without explicit opt-in. Pro plans add client-side encryption for transcripts at rest.
Use the compare-stt tool to run NVIDIA Parakeet against any other supported model on the same audio — you'll see WER, segment count, speaker labels, and confidence scores side-by-side. The NVIDIA Parakeet vs Whisper Large V3 comparison is the most commonly run.
Yes. Specify "nvidia-parakeet" as the model parameter on the /v1/transcribe endpoint. Python and Node.js SDKs include NVIDIA Parakeet examples. Free API tier includes 100 minutes/month.
Yes. Because NVIDIA Parakeet is CC-BY-4.0-licensed, you can self-host it. STT.ai's open-source page lists the project repo and weights. Most production teams use our hosted version to skip GPU procurement, model swaps, and ops.