feat: better language selection
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@@ -246,7 +246,7 @@ keywords = []
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# ─────────────────────────────────────────────────────────────────────────────
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[transcription]
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provider = "openai" # "openai", "groq-transcription", "groq-translation", "mistral-transcription", "elevenlabs", "whisper-cpp"
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provider = "openai" # "openai", "groq-transcription", "mistral-transcription", "elevenlabs", "whisper-cpp"
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model = "whisper-1" # Model: OpenAI="whisper-1", Groq="whisper-large-v3", Mistral="voxtral-mini-latest", ElevenLabs="scribe_v1"
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language = "" # ISO 639-1 code (e.g., en, es, de). Empty for auto-detect.
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threads = 0 # CPU threads for local transcription (0 = auto: uses NumCPU-1)
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@@ -325,7 +325,6 @@ keywords = []
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# Transcription providers:
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# - "openai": OpenAI Whisper API (cloud-based, excellent accuracy)
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# - "groq-transcription": Groq Whisper API (very fast, models: whisper-large-v3, whisper-large-v3-turbo)
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# - "groq-translation": Groq translation to English (always outputs English text, model: whisper-large-v3)
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# - "mistral-transcription": Mistral Voxtral API (excellent for European languages, model: voxtral-mini-latest)
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# - "elevenlabs": ElevenLabs Scribe API (99 languages, models: scribe_v1, scribe_v2)
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#
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