arBest local speech-to-text models for Arabic
14 of the 26 reviewed local speech-to-text models explicitly list Arabic. 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. 2 models offer native streaming, 1 native speaker diarization and 13 have a permissive license.
Top matches by setup
Computed with the same deterministic matcher as the homepage, restricted to models whose official source lists Arabic. 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 | Nemotron 3.5 ASR Streaming 0.6B 75/100 · Strong fit | Qwen3-ASR 0.6B 75/100 · 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 | Qwen3-ASR 0.6B 77/100 · Strong fit |
| Subtitles with timing, accuracy first | Whisper medium 87/100 · Excellent fit | Qwen3-ASR 0.6B 80/100 · Strong fit | VibeVoice-ASR 7B 79/100 · Strong fit |
| CPU-only machine, low memory use | Whisper tiny 74/100 · Strong fit | Omnilingual ASR CTC 300M 62/100 · Possible fit | Nemotron 3.5 ASR Streaming 0.6B 58/100 · Possible fit |
Re-rank for your setup
Change hardware, workload and requirements to re-rank all 14 Arabic-capable models in your browser.
Choose by requirement
- Live captions and voice input
- Native streaming: Nemotron 3.5 ASR Streaming 0.6B and Voxtral Mini 4B Realtime 2602. 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, Omnilingual ASR CTC 300M, Cohere Transcribe 03-2026, VibeVoice-ASR 7B, Fun-ASR-MLT-Nano-2512, Voxtral Mini 4B Realtime 2602 and Jais-ASR. 1 other model carries attribution, ShareAlike or custom terms.
- CPU-only or low-power machines
- Rated 4/5 or better for CPU-only use: Whisper tiny, Whisper base and Whisper small.
All 14 models that list Arabic
| 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 |
| Jais-ASR IFM · 5.7B total | No | No | No | Apache-2.0 Permissive | 1/5 · 4/5 |
| Nemotron 3.5 ASR Streaming 0.6B NVIDIA · 600M | Native | Limited | No | OpenMDW-1.1 Custom terms | 2/5 · 5/5 |
| Omnilingual ASR CTC 300M Meta AI · 325M | No | Limited | No | Apache-2.0 Permissive | 3/5 · 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 |
Multilingual models that do not list Arabic
Parakeet TDT 0.6B v3, Orukeet, VibeVoice-ASR Streaming 1.5B, VibeVoice-ASR-BitNet, Granite Speech 5.0 2B, Granite Speech 5.0 470M TurboCTC, VibeVoice-ASR-Streaming-7B, Parakeet Redux and Whistle are multilingual but do not list Arabic in the reviewed official source, so the matcher does not recommend them for this language.
Common questions
What is the best local speech-to-text model for Arabic?
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 Whisper tiny for CPU-only machines. Benchmark the top two or three on your own Arabic audio before deciding.
Is there an offline Arabic model with real-time streaming?
Yes. Nemotron 3.5 ASR Streaming 0.6B and Voxtral Mini 4B Realtime 2602 list Arabic and have a native streaming architecture. Measure end-to-end latency on your hardware.
Does Whisper support Arabic?
Yes. All Whisper sizes list Arabic 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 Arabic?
Among multilingual models, Parakeet TDT 0.6B v3, Orukeet, VibeVoice-ASR Streaming 1.5B, VibeVoice-ASR-BitNet, Granite Speech 5.0 2B, Granite Speech 5.0 470M TurboCTC, VibeVoice-ASR-Streaming-7B, Parakeet Redux and Whistle do not list Arabic 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 Arabic transcripts with the WER calculator
- Compare the top three side by side
Generated from the reviewed model database (latest review November 3, 2026). "Lists Arabic" means the model's official source explicitly names the language; it does not guarantee equal accuracy across languages.