How to connect Google Dialogflow ES and Caption AI
Create a New Scenario to Connect Google Dialogflow ES and Caption AI
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Dialogflow ES, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Dialogflow ES or Caption AI will be your first step. To do this, click "Choose an app," find Google Dialogflow ES or Caption AI, and select the appropriate trigger to start the scenario.

Add the Google Dialogflow ES Node
Select the Google Dialogflow ES node from the app selection panel on the right.

Google Dialogflow ES
Configure the Google Dialogflow ES
Click on the Google Dialogflow ES node to configure it. You can modify the Google Dialogflow ES URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Caption AI Node
Next, click the plus (+) icon on the Google Dialogflow ES node, select Caption AI from the list of available apps, and choose the action you need from the list of nodes within Caption AI.

Google Dialogflow ES
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Caption AI
Authenticate Caption AI
Now, click the Caption AI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Caption AI settings. Authentication allows you to use Caption AI through Latenode.
Configure the Google Dialogflow ES and Caption AI Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Dialogflow ES and Caption AI Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

JavaScript
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AI Anthropic Claude 3
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Caption AI
Trigger on Webhook
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Google Dialogflow ES
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Google Dialogflow ES, Caption AI, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Google Dialogflow ES and Caption AI integration works as expected. Depending on your setup, data should flow between Google Dialogflow ES and Caption AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Dialogflow ES and Caption AI
Google Dialogflow ES + Caption AI + Slack: Detects intent from Google Dialogflow ES, summarizes relevant conversations using Caption AI, and sends daily summaries to a specified Slack channel.
Caption AI + Google Dialogflow ES + Gmail: Get automated summaries of calls using Caption AI and Google Dialogflow ES, then email these summaries to managers weekly to help them improve the bot's performance.
Google Dialogflow ES and Caption AI integration alternatives
About Google Dialogflow ES
Use Google Dialogflow ES in Latenode to build smart chatbots and automate customer service tasks. Connect Dialogflow to your databases, CRMs, or other apps for personalized responses. Create visual workflows that handle complex conversations without code, adding custom logic with JavaScript where needed. Scale your AI-powered interactions using Latenode's flexible automation platform.
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About Caption AI
Caption AI in Latenode streamlines content creation. Generate captions from images or videos directly within your workflows. Automate social media posting, ad campaigns, or content archiving. Latenode's visual editor and flexible integrations reduce manual work and allow for personalized, automated caption generation at scale, without code.
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See how Latenode works
FAQ Google Dialogflow ES and Caption AI
How can I connect my Google Dialogflow ES account to Caption AI using Latenode?
To connect your Google Dialogflow ES account to Caption AI on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Dialogflow ES and click on "Connect".
- Authenticate your Google Dialogflow ES and Caption AI accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically generate subtitles from chatbot audio?
Yes, you can! Latenode allows seamless data transfer, letting you use Google Dialogflow ES audio outputs to trigger Caption AI subtitling, automatically enhancing user experience.
What types of tasks can I perform by integrating Google Dialogflow ES with Caption AI?
Integrating Google Dialogflow ES with Caption AI allows you to perform various tasks, including:
- Automatically generate captions for audio from chatbot interactions.
- Create accessible customer service experiences via subtitled audio.
- Analyze sentiment from chatbot text and display dynamic captions.
- Translate chatbot conversations and generate subtitles in multiple languages.
- Use AI to improve caption accuracy based on Dialogflow ES context.
Can I use advanced logic with Dialogflow ES intents in Latenode?
Yes, Latenode’s visual editor and code blocks let you manipulate Dialogflow ES intent data for sophisticated automation scenarios.
Are there any limitations to the Google Dialogflow ES and Caption AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex caption formatting may require custom JavaScript code.
- Very high audio volumes might affect transcription accuracy.
- Large-scale, concurrent usage may require a dedicated Latenode plan.