LLMVoice

LLMVoice
Developer: Andre Frelicot
Category: Developer Tools

LLMVoice Summary

LLMVoice is a mobile iOS app in Developer Tools by Andre Frelicot. Released in Oct 2025 (7 months ago). Store metadata: updated Oct 13, 2025.

Store info: Last updated on App Store on Oct 13, 2025 .


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Screenshots

App Description

LLMVoice - iOS 26 Speech & AI Technology Demo

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