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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 CloudSight API?

Our advanced image recognition technology offers a thorough comprehension of your digital media. Featuring an on-device computer vision system, it achieves response times under 250 milliseconds, which is four times quicker than our API and operates without needing an internet connection. Users can effortlessly scan their phones throughout a room to recognize objects present in that environment, a functionality that is solely available on our on-device platform. This approach significantly alleviates privacy issues by eliminating the need for any data transmission from the user's device. Although our API implements stringent measures to safeguard your privacy, the on-device model enhances security protocols considerably. Additionally, CloudSight will provide you with visual content, while our API is tasked with delivering natural language descriptions. You can filter and categorize images efficiently, monitor for any inappropriate content, and assign relevant labels to all forms of your digital media, ensuring organized management of your assets while maintaining a high level of security. This comprehensive system not only streamlines your media handling but also prioritizes your privacy and security.

Media

Media

Integrations Supported

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

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

Android
iPhone
iPad
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

ai.google.dev/edge/litert

Company Facts

Organization Name

CloudSight

Date Founded

2012

Company Location

United States

Company Website

cloudsight.ai

Categories and Features

Categories and Features

AI Vision Models

Not specified

Artificial Intelligence

Machine Learning
Process/Workflow Automation

Digital Asset Management

Asset Categorization
Asset Library
Customizable Branding
Reporting/Analytics
Search/Filter
Workflow Management

Image Processing API

Not specified

Image Recognition

Not specified

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