
When this happens...
New Topic Extraction
New Submit Sentiment Analysis
New Force Alignment Job

Automatically do this!
Enable Integrations or automations with these events of Rev AI and Amazon DynamoDB
Trigger when new topic extraction is created.
Trigger when new submit analysis .
Trigger when new force alignment is created.
Starts an asynchronous job to extract topics from a transcript.
Delete an existing topic extraction.
Starts an asynchronous job to analyze sentiments in a transcript.
Delete an existign submit sentiment analysis.
Starts an asynchronous job to obtain precise word timings for an audio file and text transcript.
Delete an existing submit force alignment job.
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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 Rev AI and Amazon DynamoDB accounts to viaSocket. Once connected, you can set up a workflow where an event in Rev AI triggers actions in Amazon DynamoDB (or vice versa).
Absolutely. You can customize how Rev AI data is recorded in Amazon DynamoDB. This includes choosing which data fields go into which fields of Amazon DynamoDB, setting up custom formats, and filtering out unwanted information.
The data sync between Rev AI and Amazon DynamoDB 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 Rev AI and Amazon DynamoDB. 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.
Rev is an audio transcription service that uses human beings to transcribe English audio or video into text.
Learn MoreAmazon DynamoDB is a fully managed NoSQL database service provided by Amazon Web Services (AWS) that offers fast and predictable performance with seamless scalability. It is designed to handle large amounts of data and provide high availability and durability, making it ideal for applications that require consistent, single-digit millisecond latency at any scale.
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