Connect SMSFactor and Amazon Polly to Build Intelligent Automations
Enable Integrations or automations with these events of SMSFactor and Amazon Polly
Enable Integrations or automations with these events of SMSFactor and Amazon Polly
Actions
Send SMS
Send a text message to a recipient, with optional scheduling, sender name, message type, and custom SMS ID.
Retrieve Message History
Returns SMS messages sent or received between specified start and end dates. Optional filters include destination number, message content, type (incoming/outgoing), country, and status; supports sorting and pagination.
Create SMS List
Create a new SMS contact list and add one contact using the recipient's phone number.
Create SMS Template
Create a new reusable SMS template.
Create Account
Create a new SMSFactor account or sub-account using the provided email, password, and optional profile details.
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Frequently Asked Questions
To start, connect both your SMSFactor and Amazon Polly accounts to viaSocket. Once connected, you can set up a workflow where an event in SMSFactor triggers actions in Amazon Polly (or vice versa).
Absolutely. You can customize how SMSFactor data is recorded in Amazon Polly. This includes choosing which data fields go into which fields of Amazon Polly, setting up custom formats, and filtering out unwanted information.
The data sync between SMSFactor and Amazon Polly 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 SMSFactor and Amazon Polly. 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 SMSFactor
SMSFactor is an online platform allowing you to send professional SMS to your clients/patients.
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About Amazon Polly
Amazon Polly is a service that turns text into lifelike speech, that uses advanced deep learning technologies to synthesize speech that sounds like a human voice. Supports voices for a variety of languages and accents.
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