How to connect Google Cloud Speech-To-Text and Caption AI
Create a New Scenario to Connect Google Cloud Speech-To-Text 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 Cloud Speech-To-Text, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud Speech-To-Text or Caption AI will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or Caption AI, and select the appropriate trigger to start the scenario.

Add the Google Cloud Speech-To-Text Node
Select the Google Cloud Speech-To-Text node from the app selection panel on the right.

Google Cloud Speech-To-Text
Configure the Google Cloud Speech-To-Text
Click on the Google Cloud Speech-To-Text node to configure it. You can modify the Google Cloud Speech-To-Text 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 Cloud Speech-To-Text 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 Cloud Speech-To-Text
⚙
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 Cloud Speech-To-Text 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 Cloud Speech-To-Text 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
⚙
AI Anthropic Claude 3
⚙
Caption AI
Trigger on Webhook
⚙
Google Cloud Speech-To-Text
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, 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 Cloud Speech-To-Text and Caption AI integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text 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 Cloud Speech-To-Text and Caption AI
YouTube + Google Cloud Speech-To-Text + Caption AI: When a new video is uploaded to YouTube, its audio is transcribed using Google Cloud Speech-To-Text. The transcript is then sent to Caption AI to generate captions, which are finally added to the YouTube video.
Google Meet + Google Cloud Speech-To-Text + YouTube: Schedule a Google Meet, transcribe the audio using Google Cloud Speech-To-Text, and upload the transcription as subtitles to a YouTube video for record keeping and accessibility.
Google Cloud Speech-To-Text and Caption AI integration alternatives
About Google Cloud Speech-To-Text
Automate audio transcription using Google Cloud Speech-To-Text within Latenode. Convert audio files to text and use the results to populate databases, trigger alerts, or analyze customer feedback. Latenode provides visual tools to manage the flow, plus code options for custom parsing or filtering. Scale voice workflows without complex coding.
Similar apps
Related categories
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.
Similar apps
Related categories
See how Latenode works
FAQ Google Cloud Speech-To-Text and Caption AI
How can I connect my Google Cloud Speech-To-Text account to Caption AI using Latenode?
To connect your Google Cloud Speech-To-Text account to Caption AI on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Speech-To-Text and click on "Connect".
- Authenticate your Google Cloud Speech-To-Text and Caption AI accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically caption training videos?
Yes, you can! Latenode's visual editor simplifies the process, allowing you to automatically generate captions, saving time and improving content accessibility.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Caption AI?
Integrating Google Cloud Speech-To-Text with Caption AI allows you to perform various tasks, including:
- Automatically transcribe audio files into text.
- Generate captions for video content in real-time.
- Create searchable transcripts of meetings and webinars.
- Improve the accessibility of audio and video content.
- Automate language translation for global audiences.
WhatGoogleCloudSpeech-To-TextconfigurationsareavailableinLatenode?
Latenode lets you adjust language models, specify audio encoding, and configure advanced settings for optimal transcription accuracy, even at scale.
Are there any limitations to the Google Cloud Speech-To-Text and Caption AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require longer processing times.
- Transcription accuracy can be affected by audio quality.
- Complex workflows may require advanced Latenode skills.