feat: models test and fixes
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leonardotrapani
+15
-17
@@ -11,7 +11,7 @@ This guide helps you choose the right transcription provider for your use case.
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| **Mistral** | Cloud | 2 | 57 | No | Fast | Good | Pay per use |
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| **ElevenLabs** | Cloud | 4 | 57+ | Yes | Fast | Excellent | Pay per use |
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| **Deepgram** | Cloud | 4 | 33-42 | Yes | Very Fast | Excellent | Pay per use |
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| **whisper-cpp** | Local | 9 | 57 (4 EN-only) | No | Varies | Excellent | Free |
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| **whisper-cpp** | Local | 12 | 57 (4 EN-only) | No | Varies | Excellent | Free |
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### OpenAI
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@@ -32,7 +32,6 @@ Extremely fast inference using specialized hardware. OpenAI-compatible API.
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**Models:**
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- `whisper-large-v3` - Full Whisper v3, best accuracy
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- `whisper-large-v3-turbo` - Faster with slightly lower accuracy
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- `distil-whisper-large-v3-en` - **English only**, fastest option
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**Best for:** Speed-critical applications, English-only use cases, budget-conscious users
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@@ -42,7 +41,8 @@ European provider with Voxtral transcription models.
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**Models:**
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- `voxtral-mini-latest` - Latest Voxtral, recommended
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- `voxtral-mini-2507` - Stable version from July 2025
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**Notes:** Mistral's streaming responses are not real-time audio streaming; hyprvoice treats Voxtral as batch-only.
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**Best for:** European data residency requirements, Mistral ecosystem users
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@@ -52,9 +52,8 @@ Known for voice synthesis, also offers excellent transcription via Scribe.
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**Models:**
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- `scribe_v1` - 90+ languages, best accuracy (batch)
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- `scribe_v2` - Lower latency, real-time optimized (batch)
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- `scribe_v1-streaming` - Real-time transcription
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- `scribe_v2-streaming` - Real-time with <150ms latency
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- `scribe_v2` - Lower latency (batch)
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- `scribe_v2_realtime` - Streaming-only realtime endpoint
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**Best for:** Applications needing both TTS and STT, ultra-low latency streaming
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@@ -63,10 +62,11 @@ Known for voice synthesis, also offers excellent transcription via Scribe.
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Streaming-first provider with Nova models. Excellent for real-time applications.
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**Models:**
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- `flux-general-en` - Streaming with turn detection (English)
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- `nova-3` - Best accuracy, 42 languages
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- `nova-3-general` - Same as nova-3
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- `nova-2` - Fast, 33 languages, filler word detection
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- `nova-2-general` - Same as nova-2
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**Notes:** Flux is English-only.
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**Language Support:** Nova-3 supports 42 languages, Nova-2 supports 33 languages. Not all 57 languages from the master list are available.
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@@ -93,7 +93,10 @@ Run Whisper models locally on your machine. No API keys, no network latency, com
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| `base` | 142MB | Fast | Good |
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| `small` | 466MB | Medium | Better |
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| `medium` | 1.5GB | Slow | Great |
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| `large-v1` | 2.9GB | Slowest | Best |
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| `large-v2` | 2.9GB | Slowest | Best |
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| `large-v3` | 3GB | Slowest | Best |
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| `large-v3-turbo` | 1.6GB | Slower | Great |
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**Best for:** Privacy-sensitive applications, offline use, avoiding API costs
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@@ -121,14 +124,11 @@ Need complete privacy?
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└─ Need real-time streaming?
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├─ Yes
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│ └─ Latency critical (<150ms)?
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│ ├─ Yes → ElevenLabs scribe_v2-streaming
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│ ├─ Yes → ElevenLabs scribe_v2_realtime (streaming)
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│ └─ No → Deepgram nova-3 or OpenAI realtime
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└─ No (batch)
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└─ Need fastest response?
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├─ Yes
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│ └─ English only?
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│ ├─ Yes → Groq distil-whisper-large-v3-en
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│ └─ No → Groq whisper-large-v3-turbo
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├─ Yes → Groq whisper-large-v3-turbo
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└─ No
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└─ Need highest accuracy?
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├─ Yes → OpenAI gpt-4o-transcribe or Groq whisper-large-v3
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@@ -140,10 +140,9 @@ Need complete privacy?
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| Use Case | Recommended Provider | Model |
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|----------|---------------------|-------|
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| General dictation | OpenAI | whisper-1 |
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| Fast English | Groq | distil-whisper-large-v3-en |
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| Fast multilingual | Groq | whisper-large-v3-turbo |
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| Live captions | Deepgram | nova-3 |
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| Ultra-low latency | ElevenLabs | scribe_v2-streaming |
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| Ultra-low latency | ElevenLabs | scribe_v2_realtime (streaming) |
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| Offline/privacy | whisper-cpp | base.en or base |
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| High accuracy | OpenAI | gpt-4o-transcribe |
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@@ -155,7 +154,7 @@ All providers support **auto-detect mode** (recommended for most users) which au
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### Full Language Support (57 languages)
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OpenAI, Groq (except distil model), Mistral, ElevenLabs, and whisper-cpp multilingual models support all 57 languages:
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OpenAI, Groq, Mistral, ElevenLabs, and whisper-cpp multilingual models support all 57 languages:
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Afrikaans, Arabic, Armenian, Azerbaijani, Belarusian, Bosnian, Bulgarian, Catalan, Chinese, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, Galician, German, Greek, Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Italian, Japanese, Kannada, Kazakh, Korean, Latvian, Lithuanian, Macedonian, Malay, Marathi, Maori, Nepali, Norwegian, Persian, Polish, Portuguese, Romanian, Russian, Serbian, Slovak, Slovenian, Spanish, Swahili, Swedish, Tagalog, Tamil, Thai, Turkish, Ukrainian, Urdu, Vietnamese, Welsh
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@@ -165,7 +164,6 @@ These models only support English but are faster:
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| Provider | Model |
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|----------|-------|
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| Groq | `distil-whisper-large-v3-en` |
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| whisper-cpp | `tiny.en`, `base.en`, `small.en`, `medium.en` |
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If you select an English-only model with a non-English language, hyprvoice will:
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