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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Captur is an innovative computer-vision SDK that facilitates real-time photo validation within mobile applications. Utilizing on-device models, it assesses images at the moment of capture and can alert users to potential issues like blurriness, poor lighting, or the presence of faces, as well as ensure that photos adhere to specific guidelines before they are uploaded. This SDK is compatible with both iOS and Android platforms and can be incorporated into projects using Swift, Kotlin, React Native, and Flutter workflows. Teams can set image criteria in straightforward business language, allowing Captur to assist users in submitting high-quality evidence for tasks such as proof of delivery, checking micromobility parking, inspecting vehicles, and ensuring helmet compliance. Its image analysis operates offline on the user's device, while updates to policies and models can be handled independently. Additionally, applications have the capability to review or amend the outcomes determined by the model. Captur aims to support product and operations teams in developing mobile apps that depend on reliable user-generated images, thereby enhancing the overall quality and integrity of submissions. This approach not only streamlines the validation process but also fosters a better user experience by reducing the chances of incorrect submissions.

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 Yes 

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

Pricing is consumption-based and is sized to expected volume and use case. New customers can start with a paid pilot.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

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

Captur

Country

United Kingdom

Website

captur.ai/

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

ai.google.dev/edge/litert

Product Features

Computer Vision

Blob Detection & Analysis No 
Building Tools No 
Image Processing No 
Multiple Image Type Support No 
Reporting / Analytics Integration No 
Smart Camera Integration No 

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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