hiBest local speech-to-text models for Hindi
12 of the 26 reviewed local speech-to-text models explicitly list Hindi. 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 11 have a permissive license.
Top matches by setup
Computed with the same deterministic matcher as the homepage, restricted to models whose official source lists Hindi. 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 12 Hindi-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, VibeVoice-ASR 7B, Fun-ASR-MLT-Nano-2512 and Voxtral Mini 4B Realtime 2602. 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 12 models that list Hindi
| 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 |
| 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 Hindi
Parakeet TDT 0.6B v3, Orukeet, Cohere Transcribe 03-2026, 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, Whistle and Jais-ASR are multilingual but do not list Hindi 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 Hindi?
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 Hindi audio before deciding.
Is there an offline Hindi model with real-time streaming?
Yes. Nemotron 3.5 ASR Streaming 0.6B and Voxtral Mini 4B Realtime 2602 list Hindi and have a native streaming architecture. Measure end-to-end latency on your hardware.
Does Whisper support Hindi?
Yes. All Whisper sizes list Hindi 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 Hindi?
Among multilingual models, Parakeet TDT 0.6B v3, Orukeet, Cohere Transcribe 03-2026, 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, Whistle and Jais-ASR do not list Hindi 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 Hindi transcripts with the WER calculator
- Compare the top three side by side
Generated from the reviewed model database (latest review November 3, 2026). "Lists Hindi" means the model's official source explicitly names the language; it does not guarantee equal accuracy across languages.