Enable Integrations or automations with these events of ASPSMS and TextRazor
Send a text message to one or more recipients.
Generate one or more voucher codes to transfer SMS credits to another user or keep for later.
Redeem an ASPSMS voucher code to add SMS credits to your account.
Processes and analyzes the provided text to extract entities, topics, and other linguistic features.
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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 ASPSMS and TextRazor accounts to viaSocket. Once connected, you can set up a workflow where an event in ASPSMS triggers actions in TextRazor (or vice versa).
Absolutely. You can customize how ASPSMS 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 ASPSMS 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 ASPSMS 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.
ASPSMS is a powerful SMS gateway service that enables businesses to send and receive SMS messages globally. It offers a reliable platform for communication, marketing, and notifications, making it ideal for enhancing customer engagement.
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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