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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Contact Created
runs when a New Contact is Created.
Do thisActions
Action is the task that follows automatically within your TxtSync integrations.
Send SMS
Send a single SMS text message to a phone number or contact
Create a Contact
Adds a new contact to your TxtSync contact list.
Update a Contact
Update an existing contact's details.
List Contacts
List all contacts and their details.
Compute CLIP Similarity
Compute how closely an image matches a text prompt using Roboflow's CLIP model.
Create Classification Prediction
Generate class predictions for an image.
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Frequently Asked Questions
To start, connect both your TxtSync and Roboflow accounts to viaSocket. Once connected, you can set up a workflow where an event in TxtSync triggers actions in Roboflow (or vice versa).
Absolutely. You can customize how TxtSync data is recorded in Roboflow. This includes choosing which data fields go into which fields of Roboflow, setting up custom formats, and filtering out unwanted information.
The data sync between TxtSync and Roboflow 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 TxtSync and Roboflow. 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 TxtSync
TxtSync is a powerful SMS communication platform designed to enhance business communication through efficient and reliable text messaging services. It offers seamless integration with various applications, enabling businesses to automate and streamline their SMS marketing and customer engagement strategies.
Learn MoreAbout Roboflow
Roboflow is a leading platform for computer vision and AI model development, offering tools to streamline the process of building, training, and deploying machine learning models.
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