LiteRTGoogle
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Related Products
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About
Captur is a computer-vision SDK for adding real-time photo validation to mobile applications. Its on-device models evaluate images as they are captured and can prompt users about issues such as blur, lighting, faces, or whether a photo meets a configured policy before upload. The SDK supports iOS and Android projects and can be integrated through Swift, Kotlin, React Native, and Flutter workflows. Teams define image requirements in business terms and use Captur to guide users toward usable evidence for delivery proof, micromobility parking checks, vehicle inspections, and helmet-compliance workflows. Image analysis is designed to run offline on the device, while policy and model updates can be managed separately. Applications can also review or override model decisions. Captur is designed for product and operations teams building mobile apps that rely on consistent user-submitted images.
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About
LiteRT (Lite Runtime), formerly known as TensorFlow Lite, is Google's high-performance runtime for on-device AI. It enables developers to deploy machine learning models across various platforms and microcontrollers. LiteRT supports models from TensorFlow, PyTorch, and JAX, converting them into the efficient FlatBuffers format (.tflite) for optimized on-device inference. Key features include low latency, enhanced privacy by processing data locally, reduced model and binary sizes, and efficient power consumption. The runtime offers SDKs in multiple languages such as Java/Kotlin, Swift, Objective-C, C++, and Python, facilitating integration into diverse applications. Hardware acceleration is achieved through delegates like GPU and iOS Core ML, improving performance on supported devices. LiteRT Next, currently in alpha, introduces a new set of APIs that streamline on-device hardware acceleration.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Supported
iPad
Supported
Android
Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Supported
iPad
Supported
Android
Supported
Chromebook
Not Supported
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Audience
Product and operations teams building mobile applications that depend on reliable user-submitted photos, including delivery, micromobility, and vehicle-inspection workflows.
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Audience
Mobile application developers in search of a tool to integrate efficient, on-device AI capabilities into their apps
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and VideosNo images available
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Screenshots and Videos |
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PricingPricing is consumption-based and is sized to expected volume and use case. New customers can start with a paid pilot.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
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Company InformationCaptur
United Kingdom
captur.ai/
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Company InformationGoogle
Founded: 1998
United States
ai.google.dev/edge/litert
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Alternatives |
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Categories |
Categories |
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Integrations
C++
Not Supported
Google AI Edge Gallery
Not Supported
JAX
Not Supported
Java
Not Supported
Kotlin
Not Supported
Objective-C
Not Supported
PyTorch
Not Supported
Python
Not Supported
Swift
Not Supported
TensorFlow
Not Supported
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Integrations
C++
Supported
Google AI Edge Gallery
Supported
JAX
Supported
Java
Supported
Kotlin
Supported
Objective-C
Supported
PyTorch
Supported
Python
Supported
Swift
Supported
TensorFlow
Supported
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