nlBest local speech-to-text models for Dutch
16 of the 26 reviewed local speech-to-text models explicitly list Dutch. For long recordings on a mid-range NVIDIA GPU the matcher's first pick is Whisper turbo; for live transcription it is Nemotron 3.5 ASR Streaming 0.6B; for meetings with speaker labels it is VibeVoice-ASR 7B. 3 models offer native streaming, 1 native speaker diarization and 12 have a permissive license.
Top matches by setup
Computed with the same deterministic matcher as the homepage, restricted to models whose official source lists Dutch. To keep the shortlist useful, each row shows the best-ranked model from three different families (for example, only one Whisper size). Scores are decision guidance, not accuracy claims.
| Setup | #1 | #2 | #3 |
|---|---|---|---|
| Long recordings, 8–12 GB NVIDIA GPU, balanced | Whisper turbo 79/100 · Strong fit | Parakeet TDT 0.6B v3 79/100 · Strong fit | Orukeet 79/100 · Strong fit |
| Live transcription (native streaming, speed first) | Nemotron 3.5 ASR Streaming 0.6B 91/100 · Excellent fit | Voxtral Mini 4B Realtime 2602 86/100 · Excellent fit | Qwen3-ASR 0.6B 77/100 · Strong fit |
| Meetings with speaker labels (diarization + timestamps) | VibeVoice-ASR 7B 86/100 · Excellent fit | Whisper medium 84/100 · Strong fit | Parakeet TDT 0.6B v3 84/100 · Strong fit |
| Subtitles with timing, accuracy first | Whisper medium 87/100 · Excellent fit | Parakeet TDT 0.6B v3 83/100 · Strong fit | Orukeet 83/100 · Strong fit |
| CPU-only machine, low memory use | Parakeet Redux 78/100 · Strong fit | Whisper tiny 74/100 · Strong fit | Whistle 71/100 · Possible fit |
Re-rank for your setup
Change hardware, workload and requirements to re-rank all 16 Dutch-capable models in your browser.
Choose by requirement
- Live captions and voice input
- Native streaming: Nemotron 3.5 ASR Streaming 0.6B, Voxtral Mini 4B Realtime 2602 and Whistle. Everything else needs a chunking runtime, which adds latency.
- Speaker-labelled meetings
- Native diarization: VibeVoice-ASR 7B. Other models need a separate diarization pipeline.
- Commercial products
- Permissive licenses: Whisper (tiny, base, small, medium, turbo), Qwen3-ASR 0.6B, Qwen3-ASR 1.7B, Cohere Transcribe 03-2026, VibeVoice-ASR 7B, Fun-ASR-MLT-Nano-2512, Voxtral Mini 4B Realtime 2602 and Whistle. 4 other models carry attribution, ShareAlike or custom terms.
- CPU-only or low-power machines
- Rated 4/5 or better for CPU-only use: Whisper tiny, Whisper base, Whisper small, Parakeet Redux and Whistle.
All 16 models that list Dutch
| Model | Streaming | Timestamps | Diarization | License | CPU · NVIDIA fit |
|---|---|---|---|---|---|
| Cohere Transcribe 03-2026 Cohere Labs · 2B | No | Limited | No | Apache-2.0 Permissive | 1/5 · 5/5 |
| Fun-ASR-MLT-Nano-2512 FunAudioLLM · 800M | Via runtime | No | No | Apache-2.0 Permissive | 2/5 · 5/5 |
| Nemotron 3.5 ASR Streaming 0.6B NVIDIA · 600M | Native | Limited | No | OpenMDW-1.1 Custom terms | 2/5 · 5/5 |
| Orukeet Oruk AI · 627M | No | Yes | No | CC BY-SA 4.0 Attribution + ShareAlike | 3/5 · 5/5 |
| Parakeet Redux Moondream · 1.58-bit Parakeet 0.6B (178 MB) | No | No | No | CC BY 4.0 Attribution required | 5/5 · 3/5 |
| Parakeet TDT 0.6B v3 NVIDIA · 600M | Via runtime | Yes | No | CC BY 4.0 Attribution required | 2/5 · 5/5 |
| Qwen3-ASR 0.6B Qwen · 0.6B | Via runtime | Separate aligner | No | Apache-2.0 Permissive | 2/5 · 5/5 |
| Qwen3-ASR 1.7B Qwen · 1.7B | Via runtime | Separate aligner | No | Apache-2.0 Permissive | 1/5 · 5/5 |
| VibeVoice-ASR 7B Microsoft · 9B total | No | Yes | Yes | MIT Permissive | 1/5 · 4/5 |
| Voxtral Mini 4B Realtime 2602 Mistral AI · 4B | Native | Limited | No | Apache-2.0 Permissive | 1/5 · 5/5 |
| Whisper base OpenAI · 74M | Via runtime | Yes | No | MIT Permissive | 5/5 · 4/5 |
| Whisper medium OpenAI · 769M | Via runtime | Yes | No | MIT Permissive | 2/5 · 5/5 |
| Whisper small OpenAI · 244M | Via runtime | Yes | No | MIT Permissive | 4/5 · 5/5 |
| Whisper tiny OpenAI · 39M | Via runtime | Yes | No | MIT Permissive | 5/5 · 4/5 |
| Whisper turbo OpenAI · 809M | Via runtime | Yes | No | MIT Permissive | 2/5 · 5/5 |
| Whistle Cactus Compute · 16.9 MB file (parameters not stated) | Native | Yes | No | Apache-2.0 Permissive | 5/5 · 2/5 |
Multilingual models that do not list Dutch
Omnilingual ASR CTC 300M, VibeVoice-ASR Streaming 1.5B, VibeVoice-ASR-BitNet, Granite Speech 5.0 2B, Granite Speech 5.0 470M TurboCTC, VibeVoice-ASR-Streaming-7B and Jais-ASR are multilingual but do not list Dutch in the reviewed official source, so the matcher does not recommend them for this language. Omnilingual ASR documents 1,600+ language-script codes, so check Meta's full list ↗ before ruling it out.
Common questions
What is the best local speech-to-text model for Dutch?
There is no single winner; it depends on the workload. In the matcher, Whisper turbo leads for long recordings on a mid-range GPU, VibeVoice-ASR 7B for meetings with speaker labels and Parakeet Redux for CPU-only machines. Benchmark the top two or three on your own Dutch audio before deciding.
Is there an offline Dutch model with real-time streaming?
Yes. Nemotron 3.5 ASR Streaming 0.6B, Voxtral Mini 4B Realtime 2602 and Whistle list Dutch and have a native streaming architecture. Measure end-to-end latency on your hardware.
Does Whisper support Dutch?
Yes. All Whisper sizes list Dutch in the official tokenizer language list. Smaller sizes trade accuracy for speed; Whisper turbo is the usual starting point on a GPU.
Which models do not support Dutch?
Among multilingual models, Omnilingual ASR CTC 300M, VibeVoice-ASR Streaming 1.5B, VibeVoice-ASR-BitNet, Granite Speech 5.0 2B, Granite Speech 5.0 470M TurboCTC, VibeVoice-ASR-Streaming-7B and Jais-ASR do not list Dutch in their reviewed sources. English-only models are also excluded.
Related
- Language support matrix for all 104 languages
- Best local speech-to-text models for multilingual use
- Measure Dutch transcripts with the WER calculator
- Compare the top three side by side
Generated from the reviewed model database (latest review November 3, 2026). "Lists Dutch" means the model's official source explicitly names the language; it does not guarantee equal accuracy across languages.