
When this happens...

Automatically do this!
Analyze Text
Enable Integrations or automations with these events of TMETRIC and TextRazor
List recently created or updated tasks
Fetch the most recently tracked time entry
Get projects available for time tracking
Get tags available within a specified project
Retrieve current time‑tracking statuses of all users
Fetch all time‑off requests in a workspace
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your TMETRIC and TextRazor accounts to viaSocket. Once connected, you can set up a workflow where an event in TMETRIC triggers actions in TextRazor (or vice versa).
Absolutely. You can customize how TMETRIC 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 TMETRIC 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 TMETRIC 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.
TMetric is a comprehensive time tracking software designed to help businesses and freelancers manage their time efficiently. It offers features such as time tracking, project management, team management, and reporting, making it an ideal tool for improving productivity and ensuring accurate billing.
Learn MoreTextRazor 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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