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What is TABS?

TabStack is a cutting-edge web-data API that empowers AI agents and automation workflows to interact with real-time web content; it enables users to extract structured data from any website (supporting formats like HTML, Markdown, and JSON), transform raw web pages into useful results (for example, converting product listings into comparative charts or modifying blog entries into easily shareable snippets), carry out complex browser-like automation tasks (including clicking, scrolling, and submitting forms), and perform in-depth research queries that reveal insights and summaries from a variety of sources. Engineered for high reliability in production environments with low latency, it optimizes data retrieval by focusing on parsing only the necessary elements and utilizing full page rendering only when necessary. Furthermore, it features built-in resilience mechanisms, such as automatic retries and adjustments to unstable HTML, ensuring durability and robustness in real-world web scenarios. This all-encompassing strategy positions TabStack as an invaluable resource for those looking to effectively tap into the capabilities of web data. By streamlining the process of data extraction and manipulation, it allows users to save time and improve their productivity.

What is Google AI Edge?

Google AI Edge offers a comprehensive suite of tools and frameworks designed to streamline the incorporation of artificial intelligence into mobile, web, and embedded applications. By enabling on-device processing, it reduces latency, allows for offline usage, and ensures that data remains secure and localized. Its compatibility across different platforms guarantees that a single AI model can function seamlessly on various embedded systems. Moreover, it supports multiple frameworks, accommodating models created with JAX, Keras, PyTorch, and TensorFlow. Key features include low-code APIs via MediaPipe for common AI tasks, facilitating the quick integration of generative AI, alongside capabilities for processing vision, text, and audio. Users can track the progress of their models through conversion and quantification processes, allowing them to overlay results to pinpoint performance issues. The platform fosters exploration, debugging, and model comparison in a visual format, which aids in easily identifying critical performance hotspots. Additionally, it provides users with both comparative and numerical performance metrics, further refining the debugging process and optimizing models. This robust array of features not only empowers developers but also enhances their ability to effectively harness the potential of AI in their projects. Ultimately, Google AI Edge stands out as a crucial asset for anyone looking to implement AI technologies in a variety of applications.

Media

Media

Integrations Supported

Gemma 3n
Google Cloud Platform
Greenovative
HTML
JSON
Keras
Markdown
PyTorch
TensorFlow

Integrations Supported

Gemma 3n
Google Cloud Platform
Greenovative
HTML
JSON
Keras
Markdown
PyTorch
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
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

TABS

Date Founded

1998

Company Location

United States

Company Website

tabstack.ai/

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

ai.google.dev/edge

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