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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Fovea is a cutting-edge culling solution tailored for professional photographers, emphasizing high performance and efficiency. Developed using Swift, Metal, and optimized for Apple Silicon, it addresses workflow inefficiencies through its unique "Precision Vision" methodology. In contrast to cloud-based alternatives, Fovea’s Privacy-First AI operates entirely on the device, thereby guaranteeing both instantaneous responsiveness and complete security for your RAW image collections. Notable Features: Style Learning: An AI model that learns your individual preferences for selecting photos over time. Smart Culling: Automatically groups similar shots and identifies the sharpest and most well-composed image through on-device focus analysis. Close-Ups Panel: Quickly evaluate facial focus and expressions among subjects without the need for manual zoom adjustments. Omni-Channel Preview: Provides live overlays for social media platforms (like Instagram and TikTok) with intelligent face centering. Pro Shot Lists: Offers ready-to-use templates for specific events such as Weddings and Real Estate, complete with automatic renaming for exports. Seamless Workflow: Directly incorporates ratings into XMP files for enhanced organization. Furthermore, Fovea’s intuitive interface ensures that users can navigate through their images effortlessly, making the culling process a breeze.

Description

LiteRT, previously known as TensorFlow Lite, is an advanced runtime developed by Google that provides high-performance capabilities for artificial intelligence on devices. This platform empowers developers to implement machine learning models on multiple devices and microcontrollers with ease. Supporting models from prominent frameworks like TensorFlow, PyTorch, and JAX, LiteRT converts these models into the FlatBuffers format (.tflite) for optimal inference efficiency on devices. Among its notable features are minimal latency, improved privacy by handling data locally, smaller model and binary sizes, and effective power management. The runtime also provides SDKs in various programming languages, including Java/Kotlin, Swift, Objective-C, C++, and Python, making it easier to incorporate into a wide range of applications. To enhance performance on compatible devices, LiteRT utilizes hardware acceleration through delegates such as GPU and iOS Core ML. The upcoming LiteRT Next, which is currently in its alpha phase, promises to deliver a fresh set of APIs aimed at simplifying the process of on-device hardware acceleration, thereby pushing the boundaries of mobile AI capabilities even further. With these advancements, developers can expect more seamless integration and performance improvements in their applications.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

C++ No 
Google AI Edge Gallery No 
JAX No 
Java No 
Kotlin No 
Objective-C No 
PyTorch No 
Python No 
Swift No 
TensorFlow No 

Integrations

C++ Yes 
Google AI Edge Gallery Yes 
JAX Yes 
Java Yes 
Kotlin Yes 
Objective-C Yes 
PyTorch Yes 
Python Yes 
Swift Yes 
TensorFlow Yes 

Pricing Details

$60/year
Free Trial Yes 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Fovea

Founded

2026

Country

Australia

Website

get-fovea.app/

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

ai.google.dev/edge/litert

Product Features

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

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