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小龙虾小龙虾AI
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Local Vosk STT

Local speech-to-text using Vosk. Lightweight, fast, fully offline. Perfect for transcribing Telegram voice messages, audio files, or any speech-to-text task without cloud APIs.

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版本1.0.1
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安全通过

如何使用「Local Vosk STT」？

  1. 打开小龙虾AI（Web 或 iOS App）
  2. 点击上方「立即使用」按钮，或在对话框中输入任务描述
  3. 小龙虾AI 会自动匹配并调用「Local Vosk STT」技能完成任务
  4. 结果即时呈现，支持继续对话优化

相关技能

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Voice2text

Offline speech-to-text conversion using Vosk local model; input audio file path, output transcript text.

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macOS Local Voice

Local STT and TTS on macOS using native Apple capabilities. Speech-to-text via yap (Apple Speech.framework), text-to-speech via say + ffmpeg. Fully offline, no API keys required. Includes voice quality detection and smart voice selection.

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Volcengine STT

Transcribe audio to text using Volcano Engine (Volcengine/ARK) speech-to-text APIs. Use when the user wants to replace Whisper/OpenAI STT with Volcengine, tr...

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Whisper STT

Free local speech-to-text transcription using OpenAI Whisper. Transcribe audio files (mp3, wav, m4a, ogg, etc.) to text without API costs. Use when: (1) User...

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Local Voice (FluidAudio TTS/STT)

Local text-to-speech (TTS) and speech-to-text (STT) using FluidAudio on Apple Silicon. Sub-second voice synthesis and transcription running entirely on-device via the Apple Neural Engine. Use when setting up local voice capabilities, voice assistant integration, or replacing cloud TTS/STT services.

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speaker-local

Text-to-speech using Kokoro local TTS. Use when the user wants to convert text to audio, read aloud, or generate speech.

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