Connect Tisane and Langify to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Tisane
Choose an Action
Automatically do this!
- Request a new Action for Langify
Enable Integrations or automations with these events of Tisane and Langify
Enable Integrations or automations with these events of Tisane and Langify
Actions
Analyze Text
Processes the input text and returns insights such as sentiment, keywords, or other linguistic data.
Detect Language
Identifies the language of the given text input automatically.
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Frequently Asked Questions
To start, connect both your Tisane and Langify accounts to viaSocket. Once connected, you can set up a workflow where an event in Tisane triggers actions in Langify (or vice versa).
Absolutely. You can customize how Tisane data is recorded in Langify. This includes choosing which data fields go into which fields of Langify, setting up custom formats, and filtering out unwanted information.
The data sync between Tisane and Langify typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Tisane and Langify. 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.
About Tisane
Tisane is NLU with a focus on abusive content & lawtech / regtech needs. We detect cyberbullying / personal attacks, hate speech, sexual advances, obfuscated profanities, criminal activity, and more.
Learn MoreAbout Langify
Langify is a powerful tool designed to help businesses and website owners easily translate their online content into multiple languages, enhancing their global reach and accessibility. It provides seamless integration with various platforms, allowing users to manage translations efficiently and ensure a consistent user experience across different languages.
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