svBest local speech-to-text models for Swedish
13 of the 26 reviewed local speech-to-text models explicitly list Swedish. 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. 1 model offers native streaming, 1 native speaker diarization and 9 have a permissive license.
Top matches by setup
Computed with the same deterministic matcher as the homepage, restricted to models whose official source lists Swedish. 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 | Qwen3-ASR 0.6B 77/100 · Strong fit | Whisper turbo 76/100 · 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 | Orukeet 66/100 · Possible fit |
Re-rank for your setup
Change hardware, workload and requirements to re-rank all 13 Swedish-capable models in your browser.
Choose by requirement
- Live captions and voice input
- Native streaming: Nemotron 3.5 ASR Streaming 0.6B. 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, VibeVoice-ASR 7B and Fun-ASR-MLT-Nano-2512. 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 and Parakeet Redux.
All 13 models that list Swedish
| Model | Streaming | Timestamps | Diarization | License | CPU · NVIDIA fit |
|---|---|---|---|---|---|
| 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 |
| 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 |
Multilingual models that do not list Swedish
Omnilingual ASR CTC 300M, Cohere Transcribe 03-2026, VibeVoice-ASR Streaming 1.5B, VibeVoice-ASR-BitNet, Voxtral Mini 4B Realtime 2602, Granite Speech 5.0 2B, Granite Speech 5.0 470M TurboCTC, VibeVoice-ASR-Streaming-7B, Whistle and Jais-ASR are multilingual but do not list Swedish 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.
The same shortlist applies to 4 other languages
The reviewed official sources list exactly the same 13 models for Danish, Finnish, Hungarian and Romanian. The rankings, requirement picks and license notes on this page therefore apply unchanged to those languages; accuracy per language still differs, so test with your own recordings.
Common questions
What is the best local speech-to-text model for Swedish?
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 Swedish audio before deciding.
Is there an offline Swedish model with real-time streaming?
Yes. Nemotron 3.5 ASR Streaming 0.6B lists Swedish and has a native streaming architecture. Measure end-to-end latency on your hardware.
Does Whisper support Swedish?
Yes. All Whisper sizes list Swedish 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 Swedish?
Among multilingual models, Omnilingual ASR CTC 300M, Cohere Transcribe 03-2026, VibeVoice-ASR Streaming 1.5B, VibeVoice-ASR-BitNet, Voxtral Mini 4B Realtime 2602, Granite Speech 5.0 2B, Granite Speech 5.0 470M TurboCTC, VibeVoice-ASR-Streaming-7B, Whistle and Jais-ASR do not list Swedish 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 Swedish transcripts with the WER calculator
- Compare the top three side by side
Generated from the reviewed model database (latest review November 3, 2026). "Lists Swedish" means the model's official source explicitly names the language; it does not guarantee equal accuracy across languages.