> ## Documentation Index > Fetch the complete documentation index at: https://docs.fluidinference.com/llms.txt > Use this file to discover all available pages before exploring further. # Introduction > Local audio AI for Apple devices — speech-to-text, speaker diarization, voice activity detection, and text-to-speech on the Neural Engine. FluidAudio is a Swift SDK for fully local, low-latency audio AI on Apple devices. All inference runs on the Apple Neural Engine (ANE), keeping CPU and GPU free for your app. ## At a Glance | Capability | Model | Speed | Accuracy | Languages | | ------------------------- | ----------------- | ---------- | ---------------------------------- | ----------------- | | **Transcription** | Parakeet TDT 0.6B | 210x RTFx | 2.5% WER (en), 14.7% avg (25 lang) | 25 European | | **Streaming ASR** | Parakeet EOU 120M | 12x RTFx | 4.9% WER (en) | English | | **Speaker Diarization** | Pyannote CoreML | 122x RTFx | 15% DER (offline) | Language-agnostic | | **Streaming Diarization** | Sortformer | 127x RTFx | 31.7% DER | Language-agnostic | | **Voice Activity** | Silero VAD v6 | 1230x RTFx | 96% accuracy | Language-agnostic | | **Text-to-Speech** | Kokoro 82M | 23x RTFx | 48 voices | English | | **Text-to-Speech** | PocketTTS 155M | Streaming | \~80ms first audio | English | All benchmarks on M4 Pro. ASR on [LibriSpeech](https://huggingface.co/datasets/openslr/librispeech_asr) / [FLEURS](https://huggingface.co/datasets/google/fleurs), diarization on [VoxConverse](https://www.robots.ox.ac.uk/~vgg/data/voxconverse/) / [AMI](https://groups.inf.ed.ac.uk/ami/corpus/), VAD on [VOiCES](https://iqtlabs.github.io/voices/) / [MUSAN](https://www.openslr.org/17/). See [full benchmarks](/reference/benchmarks) for per-language breakdowns and device comparisons. ## When to Use Which ### Transcription | Need | Use | Why | | ------------------------------------- | --------------------------------- | ----------------------------------------------- | | Transcribe recordings/files | **Parakeet TDT v3** | Fastest, 25 languages, 210x real-time | | English-only, best accuracy | **Parakeet TDT v2** | 2.1% WER vs 2.5% on LibriSpeech | | Live captions as user speaks | **Parakeet EOU** | 160ms chunks, end-of-utterance detection | | Domain-specific terms (names, jargon) | **TDT + CTC vocabulary boosting** | 99.3% precision, 85.2% recall on earnings calls | ### Speaker Diarization | Need | Use | Why | | ------------------------------ | -------------------------- | ---------------------------------------------------- | | Best accuracy (post-recording) | **Offline pipeline** (VBx) | 15% DER, full pyannote-compatible pipeline | | Real-time "who's speaking now" | **Streaming pipeline** | 26% DER at 5s chunks, speaker tracking across chunks | | Simple 2-4 speaker meetings | **Sortformer** | Single model, no clustering, 32% DER | ### Voice Activity Detection | Need | Use | Why | | -------------------------- | ------------------------ | --------------------------------------------- | | Segment audio before ASR | **Offline segmentation** | Clean segments with min/max duration controls | | Real-time speech detection | **Streaming VAD** | Per-chunk events with hysteresis | ### Text-to-Speech | Need | Use | Why | | ------------------------------------ | ------------- | ------------------------------------------- | | Highest quality, full generation | **Kokoro** | 48 voices, SSML support, flow matching | | Streaming audio (start playing fast) | **PocketTTS** | \~80ms to first audio, no espeak dependency | ## Platform Support | Platform | Package | | ----------------------- | ---------------------------------------------------------------------------------------------------- | | **Swift (iOS / macOS)** | [FluidAudio](https://github.com/FluidInference/FluidAudio) | | **React Native / Expo** | [@fluidinference/react-native-fluidaudio](https://github.com/FluidInference/react-native-fluidaudio) | | **Rust / Tauri** | [fluidaudio-rs](https://github.com/FluidInference/fluidaudio-rs) | ## Showcase 40+ apps use FluidAudio for local speech recognition, speaker diarization, and text-to-speech. | App | Description | | ------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | **[Voice Ink](https://tryvoiceink.com/)** | Local AI for instant, private transcription with near-perfect accuracy. Uses Parakeet ASR. | | **[Spokenly](https://spokenly.app/)** | Mac dictation app for fast, accurate voice-to-text; supports real-time dictation and file transcription. Uses Parakeet ASR and speaker diarization. | | **[Slipbox](https://slipbox.ai/)** | Privacy-first meeting assistant for real-time conversation intelligence. Uses Parakeet ASR (iOS) and speaker diarization across platforms. | | **[Talat](https://talat.app)** | Privacy-focused AI meeting notes app. Featured in [TechCrunch](https://techcrunch.com/2026/03/24/talats-ai-meeting-notes-stay-on-your-machine-not-in-the-cloud/). Uses Parakeet ASR. | | **[Paraspeech](https://paraspeech.com)** | AI powered voice to text. Fully offline. No subscriptions. | | **[OpenOats](https://github.com/yazinsai/OpenOats)** | Open-source meeting note-taker that transcribes conversations in real time and surfaces relevant notes from your knowledge base. | | **[Senko](https://github.com/narcotic-sh/senko)** | A very fast and accurate speaker diarization pipeline. A [good example](https://github.com/narcotic-sh/senko/commit/51dbd8bde764c3c6648dbbae57d6aff66c5ca15c) for Python integration. | | **[macos-speech-server](https://github.com/dokterbob/macos-speech-server)** | OpenAI compatible STT/transcription and TTS/speech API server. | | **[Whisper Mate](https://whisper.marksdo.com)** | Transcribes movies and audio locally; records and transcribes in real time from speakers or system apps. Uses speaker diarization. | | **[BoltAI](https://boltai.com/)** | Write content 10x faster using parakeet models. | | **[Voxeoflow](https://www.voxeoflow.app)** | Mac dictation app with real-time translation. Lightning-fast transcription in over 100 languages. | | **[WhisKey](https://whiskey.asktobuild.app/)** | Privacy-first voice dictation keyboard for iOS and macOS. On-device transcription with 12+ languages, AI meeting summaries, and mindmap generation. | | **[Summit AI Notes](https://summitnotes.app/)** | Local meeting transcription and summarization with speaker identification. Supports 100+ languages. | | **[Snaply](https://snaply.ai)** | Free, Fast, 100% local AI dictation for Mac. | | **[Enconvo](https://enconvo.com)** | AI Agent Launcher for macOS with voice input, live captions, and text-to-speech. | | **[Speakmac](https://speakmac.app)** | Mac app that lets you type anywhere on your Mac using your voice. Fully local, private dictation built on FluidAudio. | | **[Starling](https://github.com/Ryandonofrio3/Starling)** | Open Source, fully local voice-to-text transcription with auto-paste at your cursor. | | **[Altic/Fluid Voice](https://github.com/altic-dev/Fluid-oss)** | Lightweight, fully free and Open Source Voice to Text dictation for macOS. | | **[SamScribe](https://github.com/Steven-Weng/SamScribe)** | Open-source macOS app that captures and transcribes audio from your microphone and meeting apps in real-time. | | **[Dictate Anywhere](https://github.com/hoomanaskari/mac-dictate-anywhere)** | Native macOS dictation app with global Fn key activation. Dictate into any app with 25 language support. | | **[Hex](https://github.com/kitlangton/Hex)** | macOS app that lets you press-and-hold a hotkey to record your voice, transcribe it, and paste into any application. | | **[Super Voice Assistant](https://github.com/ykdojo/super-voice-assistant)** | Open-source macOS voice assistant with local transcription. | | **[VoiceTypr](https://github.com/moinulmoin/voicetypr)** | Open-source voice-to-text dictation for macOS and Windows. | | **[Ora](https://futurelab.studio/ora)** | Local voice assistant for macOS with speech recognition and text-to-speech. | | **[Flowstay](https://flowstay.app)** | Easy text-to-speech, local post-processing and Claude Code integration for macOS. Free forever. | | **[Meeting Transcriber](https://github.com/pasrom/meeting-transcriber)** | macOS menu bar app that auto-detects, records, and transcribes meetings with dual-track speaker diarization. | | **[Hitoku Draft](https://hitoku.me/draft)** | A local, private, voice writing assistant on your macOS menu bar. | | **[Audite](https://github.com/zachatrocity/audite)** | macOS menu-bar app that records meetings and transcribes them locally into Markdown notes for Obsidian. | | **[Muesli](https://github.com/pHequals7/muesli)** | Native macOS dictation and meeting transcription with \~0.13s latency. Automatic speaker diarization. | | **[NanoVoice](https://apps.apple.com/kz/app/nanovoice/id6760539688)** | Free iOS voice keyboard for fast, private dictation in any app. | | **[MiniWhisper](https://github.com/andyhtran/MiniWhisper)** | Open-source macOS menu bar for quick local voice-to-text with minimal setup. | | **[Volocal](https://github.com/fikrikarim/volocal)** | Fully local voice AI on iOS. Uses streaming Parakeet EOU ASR and streaming PocketTTS. | | **[VivaDicta](https://github.com/n0an/VivaDicta)** | Open-source iOS voice-to-text app with system-wide AI voice keyboard. 15+ AI providers, 40+ AI presets. | | **[hongbomiao.com](https://github.com/hongbo-miao/hongbomiao.com)** | A personal R\&D lab that facilitates knowledge sharing. | | **[mac-whisper-speedtest](https://github.com/anvanvan/mac-whisper-speedtest)** | Comparison of different local ASR, including one of the first versions of FluidAudio's ASR models. | ## Requirements * macOS 14+ / iOS 17+ * Swift 5.10+ * Apple Silicon recommended ## Model Conversion All FluidAudio models are converted through [möbius](https://github.com/FluidInference/mobius), our open-source model conversion framework. It handles export, numerical validation, and quantization for CoreML and other edge runtimes. See the [möbius docs](/mobius/getting-started) to convert your own models.