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Divine Tribe Software · Open Source

RealTimeAICam

Free iPhone app that identifies 601 things, live, on-device.

Swift⭐ 5 starsNOASSERTION licensedOpen source
⭐ 5
GitHub Stars
💻 Swift
Primary Language
📅 April 2026
Last Updated
What it is

Point your phone at the world. Find out what you're looking at.

RealTime AI Camera is a free iPhone app that uses on-device machine learning to identify 601 different object classes in real time. No ads, no subscriptions, no cloud calls. Point your phone at a plant, an animal, a tool — and it tells you what it is.

Built because every other camera app either phones home, costs money, or detects a grand total of 'dog' and 'cat.'

Why it's different

What makes RealTimeAICam special

🎯

601 classes

Way more than the competition. Plants, animals, vehicles, objects.

Real-time

Runs at camera framerate. No waiting.

🆓

Free forever

No ads, no subscriptions. iPhone app, open source code.

🔒

Never phones home

Every detection happens on your device.

Who it's for

Is this for you?

  • Naturalists, hikers, curious people
  • Parents with kids who ask 'what's that?'
  • Developers who want a reference iOS ML app
How to get it

Getting started in minutes

1

Download from the App Store

Free. No account needed.

2

Open it

Camera launches. Point at anything.

3

Read the code on GitHub

Swift + Core ML. Fork it, ship your own.

Ready to try RealTimeAICam?

It's free, open source, and runs on the hardware you already own. Head to GitHub to get started, or drop a star to help us keep building in public.

Stay in the tribe

More from Divine Tribe

Full technical docs

The complete README

Open the GitHub README — every detail, every benchmark, every code block

✨ RealTime AI Camera ✨

🚀 YOLOv8 with all 601 object classes on iPhone — runs at average 10 FPS

RealTime AI Camera Banner

🔥 Real-time Object Detection • OCR • Offline Translation • LiDAR Distance 🔥
Built specifically for iPhone • Works 100% offline • Privacy-first design


🎉 NOW AVAILABLE ON APP STORE - FREE DOWNLOAD! 🎉

Download on App Store Try it Live Model on HuggingFace


Brought to you by NiceDreamzApps


🏆 Project Status & Performance

📱 Platform & Compatibility

Built for iPhone iOS Version iPhone Compatibility Optimized for iPhone 12+

Performance & Features

Frame Rate YOLOv8 Classes LiDAR Support 100% Free

🛠️ Technology Stack

SwiftUI CoreML Metal Neural Engine

🔐 Privacy & Licensing

Works Offline Privacy Focused GPL-3.0 License On App Store Now


✨ Core Features

🎯 AI Computer Vision

  • 🐶 Object Detection — YOLOv8 with 601 classes from Open Images V7
  • 📝 English OCR — On-device printed text recognition
  • 🌎 Spanish → English Translation — Offline, rule-based + dictionary
  • 📏 LiDAR Distance — Per-object depth measurement on Pro models

Performance & Privacy

  • 🚀 Average 10 FPS — Real-time processing across iPhone models
  • 💝 100% Free — No ads, no in-app purchases, no subscriptions
  • 🔒 Privacy-First — No tracking, no servers, airplane-mode ready
  • 🍎 iPhone Optimized — CoreML + Metal + Neural Engine acceleration

⚡ Performance Details

🏎️ Real-time Performance: Average 10 FPS across supported iPhone models

Actual performance may vary based on scene complexity, device temperature, and background app activity

🚀 Optimization Features:

  • CoreML framework with Metal acceleration
  • Neural Engine utilization on A12+ chips
  • Smart thermal and battery management
  • Adaptive frame rate based on device capabilities

🛠️ Technology Stack

graph TB
    A[📱 iPhone Camera] --> B[🎯 YOLOv8 CoreML Model]
    B --> C[⚡ Metal Performance Shaders]
    C --> D[🧠 Neural Engine]
    D --> E[📊 SwiftUI Interface]
    
    F[📝 Vision Framework] --> G[🌎 Offline Translation]
    H[📏 ARKit LiDAR] --> I[📐 Distance Calculation]
    
    B --> J[🔒 100% On-Device Processing]
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Component Technology Purpose
🤖 AI Model YOLOv8 (Ultralytics) 601-class object detection
🏗️ UI Framework SwiftUI Native iOS interface
Acceleration CoreML + Metal + Neural Engine Hardware-optimized inference
📊 Dataset Open Images V7 Comprehensive training data
🍎 Platform iOS 15+ Native APIs Deep system integration
🔋 Optimization Smart resource management Battery & thermal aware

📱 Device Compatibility

Supported iPhone Models

  • iPhone X and newer (iOS 15+ required)
  • Optimized for all compatible devices
  • LiDAR features available on Pro models with depth sensor

💡 Note: iPhone 12+ models may offer enhanced performance due to improved Neural Engine and thermal design, but the app runs well across all supported devices.


🔒 Privacy Guarantee

🛡️ Your Data Never Leaves Your Device

Privacy Feature Status Description
📊 Data Collection NONE Zero telemetry or analytics
🌐 Internet Required NO Works in airplane mode
📍 Location Tracking NEVER No GPS or location access
🏢 Cloud Processing NONE 100% on-device AI
🔐 Data Encryption Built-in iOS secure enclave protection

🔐 Your privacy is non-negotiable. Everything happens locally on your iPhone.


📸 Live Screenshots

🖼️ See RealTime AI Camera in Action

🌎 Translation 🐶 Detection 🏠 Home Screen 📱 App Info 📏 LiDAR Distance
Offline Spanish→English 601 object classes Clean, native UI Lightweight install Pro model depth sensing

🚀 Getting Started

📋 Requirements

  • Development: macOS with Xcode 16+
  • Device: iPhone X+ with iOS 15+ (iPhone 12+ recommended for optimal performance)
  • Optional: LiDAR-enabled iPhone for distance measurement features

⚙️ Quick Setup

# 1. Clone the repository
git clone https://github.com/nicedreamzapp/nicedreamzapp.git

# 2. Navigate to project
cd nicedreamzapp

# 3. Open in Xcode
open "RealTime Ai Cam.xcodeproj"

# 4. Connect your iPhone and build!

🔑 Required Permissions

  • 📷 Camera (required for object detection)
  • 🎤 Microphone (optional, for voice features)
  • 📐 Motion/Depth (optional, for LiDAR distance measurement)

🔧 Advanced Customization

🤖 Custom Model Replacement (Click to expand)

📦 Replace YOLOv8 Model

Advanced users can swap the included YOLOv8 model with a custom CoreML model:

  1. Replace Model File

    /Models/YOLOv8.mlpackage  →  YourCustomModel.mlpackage
    
  2. Update Processor

    • Modify YOLOv8Processor.swift if input/output shapes differ
    • Adjust class labels in the configuration
  3. Large Models

    • Use Git LFS for models >100MB
    • Consider model quantization for better performance

Performance Tuning

  • Adjust inference frequency in CameraViewController.swift
  • Modify confidence thresholds for different use cases
  • Enable/disable features based on device capabilities

🤝 Contributing

🌟 We Welcome Contributions! 🌟

📝 Before submitting a PR, please include:

  • 📱 Device model + iOS version tested
  • 🔄 Steps to reproduce any issues
  • 📋 Crash logs or error messages (if applicable)
  • 📸 Screenshots or video demonstration
  • 🧪 Test results on different device configurations

🎯 Areas where we'd love help:

  • 🌍 Additional language support for translation
  • 🎨 UI/UX improvements
  • ⚡ Performance optimizations
  • 🐛 Bug fixes and stability improvements
  • 📚 Documentation enhancements

📞 Support & Contact

💬 Need Help?

Email Support Website


📄 License & Credits

⚖️ Dual License

  • 🔓 GPL-3.0 — For open source development and learning
  • 💼 Commercial License — Required for App Store, TestFlight, or commercial distribution

📧 Commercial licensing: info@nicedreamzwholesale.com

🙏 Acknowledgments

Component Creator License
🤖 YOLOv8 © Ultralytics GPL-3.0
📊 Open Images V7 © Google CC BY 4.0
🍎 CoreML, Metal, SwiftUI © Apple Inc. Apple Developer Agreement
🎨 App Design & Development © NiceDreamzApps GPL-3.0

🌟 Show Your Support 🌟

If this project helped you, please give it a star! ⭐

Download on App Store GitHub Stars GitHub Forks

🚀 Made with ❤️ by NiceDreamzApps


© 2025 RealTime AI Camera • Open Source • Privacy-First • iPhone Optimized