IntegrationsdocAnalyzer AIThingsBoard
docAnalyzer AI + ThingsBoard

Connect docAnalyzer AI and ThingsBoard to Build Intelligent Automations

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docAnalyzer AI

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ThingsBoard

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Frequently Asked Questions

How do I start an integration between docAnalyzer AI and ThingsBoard?

To start, connect both your docAnalyzer AI and ThingsBoard accounts to viaSocket. Once connected, you can set up a workflow where an event in docAnalyzer AI triggers actions in ThingsBoard (or vice versa).

Can we customize how data from docAnalyzer AI is recorded in ThingsBoard?

Absolutely. You can customize how docAnalyzer AI data is recorded in ThingsBoard. This includes choosing which data fields go into which fields of ThingsBoard, setting up custom formats, and filtering out unwanted information.

How often does the data sync between docAnalyzer AI and ThingsBoard?

The data sync between docAnalyzer AI and ThingsBoard typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from docAnalyzer AI to ThingsBoard?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between docAnalyzer AI and ThingsBoard?

Yes, you can set conditional logic to control the flow of data between docAnalyzer AI and ThingsBoard. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.

docAnalyzer AI

About docAnalyzer AI

docAnalyzer AI is an advanced tool designed to analyze and process documents using artificial intelligence. It offers features such as document classification, data extraction, and content analysis, making it an essential tool for businesses and individuals looking to streamline their document management processes.

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ThingsBoard

About ThingsBoard

ThingsBoard is an open-source IoT platform that enables the collection, processing, visualization, and management of data from connected devices. It provides a robust and scalable solution for IoT projects, offering features such as device management, data visualization, and real-time analytics.

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