Connect Trint and TextRazor to Build Intelligent Automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Transcript
Triggers when new transcript is ready.
Verified Transcript
Triggers when transcript is fully editor approved(verified).
Do thisActions
Action is the task that follows automatically within your Trint integrations.
Create Folder
Creates a new folder in the Trint account to organize files.
Analyze Text
Processes and analyzes the provided text to extract entities, topics, and other linguistic features.
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Frequently Asked Questions
To start, connect both your Trint and TextRazor accounts to viaSocket. Once connected, you can set up a workflow where an event in Trint triggers actions in TextRazor (or vice versa).
Absolutely. You can customize how Trint data is recorded in TextRazor. This includes choosing which data fields go into which fields of TextRazor, setting up custom formats, and filtering out unwanted information.
The data sync between Trint and TextRazor 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 Trint and TextRazor. 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 Trint
Automate transcription and content management workflows with Trint, leveraging advanced speech-to-text technology to convert audio and video files into searchable, editable text.
Learn MoreAbout TextRazor
TextRazor is a powerful natural language processing API that provides advanced text analysis capabilities. It allows users to extract meaningful insights from text data, including entity recognition, sentiment analysis, and language detection. TextRazor is ideal for developers and businesses looking to enhance their applications with AI-driven text analysis features.
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