| 开发人员: | Andre Frelicot (3) | ||
| 价格: | 免费 | ||
| 排名: | 0 | ||
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| App Store | |||
说明
A proof-of-concept application showcasing Apple's latest iOS 26 technologies for speech recognition and on-device AI, including
MLX Swift for running open-source language models locally.
Technology Demonstration - Not for Production Use
LLMVoice is a technical showcase for developers and early adopters interested in Apple's latest frameworks and on-device AI
capabilities.
What This Demo Does
• Real-time voice transcription using iOS 26 speech APIs
• AI-powered summarization with multiple model options
• Modern SwiftUI interface with streaming updates
• 100% on-device processing for complete privacy
Key Technologies
MLX Swift Framework
Apple's MLX (Machine Learning Extensions) enables efficient inference of quantized language models on Apple Silicon with
optimized GPU acceleration.
Apple Intelligence
On supported devices (iPhone 15 Pro or later), use Apple's built-in system models for summarization without downloading
additional files.
Open Weights Models via MLX
Choose from multiple open-source models running locally:
• Qwen2.5 (0.5B) - 150MB, 29+ languages, 32k context
• Gemma 3 (1B) - 300MB, 140+ languages, 32k context
• Llama 3.2 (1B) - 500MB, 8 languages (EN/ES/FR/DE/IT/PT/HI/TH)
All models use 4-bit quantization for mobile efficiency.
SpeechAnalyzer & SpeechTranscriber (iOS 26)
Low-latency, real-time on-device speech recognition using Apple's newest APIs.
Modern Swift & SwiftUI
Built with Swift 6, Observable macro, async/await, and actor-based concurrency.
How It Works
1. Select AI model (Apple Intelligence or download MLX model)
2. Tap microphone to start recording
3. Speak naturally - real-time transcription appears
4. Tap stop when finished
5. AI generates concise summary instantly
6. Summaries saved locally, persist between sessions
7. Swipe to delete, tap to view original transcription
Privacy-First
Everything runs on-device:
• Audio never leaves your device
• Local speech recognition and AI inference
• No cloud processing or internet required (except model downloads)
• No tracking or data collection
Requirements
• iOS 26.0+ (iPadOS 26.0+ for iPad)
• Apple Silicon recommended
• Storage for models (150MB - 500MB each)
• Microphone and speech recognition permissions
Technical Limitations
• MLX requires real devices (not iOS Simulator)
• Models downloaded on first use
• Limited customization options
• Primarily English-focused
• No export/sharing features
• Proof of concept - not production-ready
Perfect For
• Developers exploring iOS 26 and MLX Swift
• AI enthusiasts interested in on-device LLMs
• Students learning SwiftUI and modern concurrency
• Anyone curious about running open-weights models on mobile
Development Highlights
Demonstrates MLX Swift integration with Apple frameworks, including model downloading, GPU memory management, streaming
inference with real-time metrics, and efficient on-device transformer execution.
Mac Catalyst Compatible
Runs on macOS 26+ with Apple Silicon for unified cross-platform experience.
Note on Model Downloads
First-time use requires downloading your chosen model from HuggingFace. Apple Intelligence is available immediately on
compatible devices without downloads.
新版变化
- 版本: 1.0
- 已更新:
价格
- 今天: 免费
- 最小值: 免费
- 最大值: 免费
可选
开发人员
- Andre Frelicot
- 平台: iOS 应用 (2) macOS 应用 (1)
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其他信息
https://andrefrelicot.dev/en/2025/10/llmvoice/LLMVoice 短网址: 已复制!- 🌟 分享
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