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What is LiteRT?

LiteRT, which was formerly called TensorFlow Lite, is a sophisticated runtime created by Google that delivers enhanced performance for artificial intelligence on various devices. This innovative platform allows developers to effortlessly deploy machine learning models across numerous devices and microcontrollers. It supports models from leading frameworks such as TensorFlow, PyTorch, and JAX, converting them into the FlatBuffers format (.tflite) to ensure optimal inference efficiency. Among its key features are low latency, enhanced privacy through local data processing, compact model and binary sizes, and effective power management strategies. Additionally, LiteRT offers SDKs in a variety of programming languages, including Java/Kotlin, Swift, Objective-C, C++, and Python, facilitating easier integration into diverse applications. To boost performance on compatible devices, the runtime employs hardware acceleration through delegates like GPU and iOS Core ML. The anticipated LiteRT Next, currently in its alpha phase, is set to introduce a new suite of APIs aimed at simplifying on-device hardware acceleration, pushing the limits of mobile AI even further. With these forthcoming enhancements, developers can look forward to improved integration and significant performance gains in their applications, thereby revolutionizing how AI is implemented on mobile platforms.

What is Fovea?

Fovea is an innovative culling tool specifically designed for professional photographers, prioritizing exceptional performance and efficiency. Built with Swift and Metal, and optimized for Apple Silicon, it tackles workflow challenges through its distinctive "Precision Vision" approach. Unlike cloud-based solutions, Fovea’s Privacy-First AI operates solely on the device, ensuring quick responsiveness and total security for your RAW image libraries. Key Features: Style Learning: An AI model that adapts to your specific photo selection preferences over time. Smart Culling: Automatically categorizes similar images and identifies the sharpest and best-composed shots using on-device focus analysis. Close-Ups Panel: Allows for a swift assessment of facial focus and expressions among subjects without requiring manual zooming. Omni-Channel Preview: Offers live overlays for social media platforms such as Instagram and TikTok, featuring intelligent face centering. Pro Shot Lists: Provides convenient templates for various events, including Weddings and Real Estate, with automatic renaming for exports. Seamless Workflow: Ratings are directly integrated into XMP files for improved organization. Additionally, Fovea’s user-friendly interface allows for seamless navigation through images, transforming the culling process into an efficient and enjoyable experience, ensuring that photographers can focus more on their creativity.

Media

Media

No images available

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$60/year
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

ai.google.dev/edge/litert

Company Facts

Organization Name

Fovea

Date Founded

2026

Company Location

Australia

Company Website

get-fovea.app/

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Categories and Features

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