add docs/providers.md comparison guide

docs/providers.md

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+# Provider Comparison Guide
+
+This guide helps you choose the right transcription provider for your use case.
+
+## Transcription Providers
+
+| Provider | Type | Models | Languages | Streaming | Speed | Quality | Cost |
+|----------|------|--------|-----------|-----------|-------|---------|------|
+| **OpenAI** | Cloud | 4 | 57 | Yes | Fast | Excellent | $0.006/min |
+| **Groq** | Cloud | 3 | 57 (1 EN-only) | No | Very Fast | Excellent | Free tier |
+| **Mistral** | Cloud | 2 | 57 | No | Fast | Good | Pay per use |
+| **ElevenLabs** | Cloud | 4 | 57+ | Yes | Fast | Excellent | Pay per use |
+| **Deepgram** | Cloud | 4 | 33-42 | Yes | Very Fast | Excellent | Pay per use |
+| **whisper-cpp** | Local | 9 | 57 (4 EN-only) | No | Varies | Excellent | Free |
+
+### OpenAI
+
+The original Whisper provider. Reliable and well-documented.
+
+**Models:**
+- `whisper-1` - Production speech-to-text (batch)
+- `gpt-4o-transcribe` - High quality with GPT-4o (batch)
+- `gpt-4o-mini-transcribe` - Faster with GPT-4o Mini (batch)
+- `gpt-4o-realtime-preview` - Real-time streaming
+
+**Best for:** General use, high accuracy requirements, streaming needs
+
+### Groq
+
+Extremely fast inference using specialized hardware. OpenAI-compatible API.
+
+**Models:**
+- `whisper-large-v3` - Full Whisper v3, best accuracy
+- `whisper-large-v3-turbo` - Faster with slightly lower accuracy
+- `distil-whisper-large-v3-en` - **English only**, fastest option
+
+**Best for:** Speed-critical applications, English-only use cases, budget-conscious users
+
+### Mistral
+
+European provider with Voxtral transcription models.
+
+**Models:**
+- `voxtral-mini-latest` - Latest Voxtral, recommended
+- `voxtral-mini-2507` - Stable version from July 2025
+
+**Best for:** European data residency requirements, Mistral ecosystem users
+
+### ElevenLabs
+
+Known for voice synthesis, also offers excellent transcription via Scribe.
+
+**Models:**
+- `scribe_v1` - 90+ languages, best accuracy (batch)
+- `scribe_v2` - Lower latency, real-time optimized (batch)
+- `scribe_v1-streaming` - Real-time transcription
+- `scribe_v2-streaming` - Real-time with <150ms latency
+
+**Best for:** Applications needing both TTS and STT, ultra-low latency streaming
+
+### Deepgram
+
+Streaming-first provider with Nova models. Excellent for real-time applications.
+
+**Models:**
+- `nova-3` - Best accuracy, 42 languages
+- `nova-3-general` - Same as nova-3
+- `nova-2` - Fast, 33 languages, filler word detection
+- `nova-2-general` - Same as nova-2
+
+**Language Support:** Nova-3 supports 42 languages, Nova-2 supports 33 languages. Not all 57 languages from the master list are available.
+
+**Best for:** Real-time transcription, live captions, meeting transcription
+
+### whisper-cpp (Local)
+
+Run Whisper models locally on your machine. No API keys, no network latency, complete privacy.
+
+**Requires:** `whisper-cli` binary installed on your system.
+
+**English-only models (faster):**
+| Model | Size | Speed | Quality |
+|-------|------|-------|---------|
+| `tiny.en` | 75MB | Fastest | Basic |
+| `base.en` | 142MB | Fast | Good |
+| `small.en` | 466MB | Medium | Better |
+| `medium.en` | 1.5GB | Slow | Best EN |
+
+**Multilingual models:**
+| Model | Size | Speed | Quality |
+|-------|------|-------|---------|
+| `tiny` | 75MB | Fastest | Basic |
+| `base` | 142MB | Fast | Good |
+| `small` | 466MB | Medium | Better |
+| `medium` | 1.5GB | Slow | Great |
+| `large-v3` | 3GB | Slowest | Best |
+
+**Best for:** Privacy-sensitive applications, offline use, avoiding API costs
+
+---
+
+## LLM Providers
+
+Used for post-processing transcriptions (formatting, summarization, etc.)
+
+| Provider | Models | Quality | Cost |
+|----------|--------|---------|------|
+| **OpenAI** | gpt-4o, gpt-4o-mini | Excellent | Pay per token |
+| **Groq** | llama-3.3-70b, llama-3.1-8b, mixtral-8x7b | Good-Excellent | Free tier |
+
+---
+
+## Choosing a Provider
+
+### Decision Flowchart
+
+```
+Need complete privacy?
+├─ Yes → whisper-cpp (local)
+└─ No
+   └─ Need real-time streaming?
+      ├─ Yes
+      │  └─ Latency critical (<150ms)?
+      │     ├─ Yes → ElevenLabs scribe_v2-streaming
+      │     └─ No → Deepgram nova-3 or OpenAI realtime
+      └─ No (batch)
+         └─ Need fastest response?
+            ├─ Yes
+            │  └─ English only?
+            │     ├─ Yes → Groq distil-whisper-large-v3-en
+            │     └─ No → Groq whisper-large-v3-turbo
+            └─ No
+               └─ Need highest accuracy?
+                  ├─ Yes → OpenAI gpt-4o-transcribe or Groq whisper-large-v3
+                  └─ No → OpenAI whisper-1 (reliable default)
+```
+
+### Quick Recommendations
+
+| Use Case | Recommended Provider | Model |
+|----------|---------------------|-------|
+| General dictation | OpenAI | whisper-1 |
+| Fast English | Groq | distil-whisper-large-v3-en |
+| Fast multilingual | Groq | whisper-large-v3-turbo |
+| Live captions | Deepgram | nova-3 |
+| Ultra-low latency | ElevenLabs | scribe_v2-streaming |
+| Offline/privacy | whisper-cpp | base.en or base |
+| High accuracy | OpenAI | gpt-4o-transcribe |
+
+---
+
+## Language Support
+
+All providers support **auto-detect mode** (recommended for most users) which automatically identifies the spoken language.
+
+### Full Language Support (57 languages)
+
+OpenAI, Groq (except distil model), Mistral, ElevenLabs, and whisper-cpp multilingual models support all 57 languages:
+
+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
+
+### English-Only Models
+
+These models only support English but are faster:
+
+| Provider | Model |
+|----------|-------|
+| Groq | `distil-whisper-large-v3-en` |
+| whisper-cpp | `tiny.en`, `base.en`, `small.en`, `medium.en` |
+
+If you select an English-only model with a non-English language, hyprvoice will:
+1. **At config time:** Show an error and prevent saving
+2. **At runtime:** Fall back to auto-detect with a warning notification
+
+### Deepgram Language Support
+
+Deepgram Nova models support a subset of languages:
+
+**Nova-3 (42 languages):** Arabic, Belarusian, Bosnian, Bulgarian, Catalan, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Greek, Hindi, Hungarian, Indonesian, Italian, Japanese, Kannada, Korean, Latvian, Lithuanian, Macedonian, Malay, Marathi, Norwegian, Polish, Portuguese, Romanian, Russian, Serbian, Slovak, Slovenian, Spanish, Swedish, Tagalog, Tamil, Turkish, Ukrainian, Vietnamese
+
+**Nova-2 (33 languages):** Bulgarian, Catalan, Chinese, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Greek, Hindi, Hungarian, Indonesian, Italian, Japanese, Korean, Latvian, Lithuanian, Malay, Norwegian, Polish, Portuguese, Romanian, Russian, Slovak, Spanish, Swedish, Thai, Turkish, Ukrainian, Vietnamese
+
+---
+
+## Streaming vs Batch
+
+### Batch Transcription
+- Send complete audio file
+- Wait for full transcription
+- Higher accuracy
+- Better for: recordings, file processing, dictation
+
+### Streaming Transcription
+- Send audio chunks in real-time
+- Get partial results immediately
+- Lower latency
+- Better for: live captions, voice commands, interactive apps
+
+**Streaming providers:** OpenAI (realtime model), ElevenLabs, Deepgram
+
+---
+
+## Local vs Cloud
+
+### Cloud Providers
+
+**Pros:**
+- No setup required
+- Always up-to-date models
+- Scales automatically
+- Professional support
+
+**Cons:**
+- Requires internet connection
+- API costs
+- Data leaves your machine
+- Potential latency
+
+### Local (whisper-cpp)
+
+**Pros:**
+- Complete privacy
+- No API costs
+- Works offline
+- No network latency
+- Your data stays on your machine
+
+**Cons:**
+- Requires setup (install whisper-cli)
+- Need to download models (75MB-3GB)
+- Uses local CPU/GPU resources
+- Slower on modest hardware
+
+### When to Choose Local
+
+- Sensitive data (medical, legal, personal)
+- Offline environments
+- High-volume use (avoiding API costs)
+- Privacy-first applications
+- Air-gapped systems
+
+### When to Choose Cloud
+
+- Quick setup needed
+- Best accuracy required
+- Real-time streaming
+- Light/occasional use
+- Mobile or low-power devices

progress.txt

@@ -480,3 +480,15 @@ Started: Sun Feb  1 12:22:47 AM CET 2026
 - Updated Project Structure: added deps/, language/, models/whisper/ packages
 - Updated File Locations: added models directory path
 - Typecheck passes
+
+### Task 45: Create docs/providers.md comparison guide
+- Created comprehensive provider comparison documentation
+- Transcription providers table: OpenAI, Groq, Mistral, ElevenLabs, Deepgram, whisper-cpp with Type/Models/Languages/Streaming/Speed/Quality/Cost
+- Individual provider sections with models list and "Best for" recommendations
+- LLM providers table: OpenAI and Groq models
+- Decision flowchart for choosing a provider (privacy -> streaming -> speed -> accuracy)
+- Quick recommendations table for common use cases
+- Language support section: full 57-language list, English-only models clearly marked, Deepgram subset languages
+- Streaming vs Batch explanation with use cases
+- Local vs Cloud comparison with pros/cons and when-to-choose guidelines
+- Typecheck passes

tasks/prd.jsonc

@@ -1056,7 +1056,7 @@
 			"File is well-formatted markdown",
 			"Typecheck passes"
 		],
-			"passes": false
+		"passes": true
 	},
 	{
 		"title": "Update docs/config.md with all providers and options",