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

Add the AITable Node
Select the AITable node from the app selection panel on the right.

AITable
Add the Google Cloud Speech-To-Text Node
Next, click the plus (+) icon on the AITable node, select Google Cloud Speech-To-Text from the list of available apps, and choose the action you need from the list of nodes within Google Cloud Speech-To-Text.

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Authenticate Google Cloud Speech-To-Text
Now, click the Google Cloud Speech-To-Text node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Speech-To-Text settings. Authentication allows you to use Google Cloud Speech-To-Text through Latenode.
Configure the AITable and Google Cloud Speech-To-Text 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 AITable and Google Cloud Speech-To-Text 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.

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AI Anthropic Claude 3
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Google Cloud Speech-To-Text
Trigger on Webhook
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Save and Activate the Scenario
After configuring AITable, Google Cloud Speech-To-Text, 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 AITable and Google Cloud Speech-To-Text integration works as expected. Depending on your setup, data should flow between AITable and Google Cloud Speech-To-Text (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect AITable and Google Cloud Speech-To-Text
Google Cloud Speech-To-Text + AITable + Slack: Transcribe audio files from Google Cloud Storage using Google Cloud Speech-To-Text, store the transcript in AITable, and then post a summary of the call to a Slack channel for team review.
Google Cloud Speech-To-Text + AITable + OpenAI ChatGPT: Analyze call recordings from Google Cloud Storage using Google Cloud Speech-To-Text, store the transcripts in AITable, and use OpenAI ChatGPT to tag key topics discussed in the call.
AITable and Google Cloud Speech-To-Text integration alternatives
About AITable
Manage project data in AITable and sync it with Latenode for powerful automation. Update databases, trigger notifications, or generate reports based on AITable changes. Latenode adds logic and integrations, creating workflows that AITable alone can't provide. Scale custom apps with ease, paying only for execution time.
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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.
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See how Latenode works
FAQ AITable and Google Cloud Speech-To-Text
How can I connect my AITable account to Google Cloud Speech-To-Text using Latenode?
To connect your AITable account to Google Cloud Speech-To-Text on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select AITable and click on "Connect".
- Authenticate your AITable and Google Cloud Speech-To-Text accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe audio files stored in AITable?
Yes, you can! Latenode simplifies the process, allowing you to automatically transcribe audio from AITable using Google Cloud Speech-To-Text, then save the transcript back to AITable.
What types of tasks can I perform by integrating AITable with Google Cloud Speech-To-Text?
Integrating AITable with Google Cloud Speech-To-Text allows you to perform various tasks, including:
- Automatically transcribe customer support call recordings stored in AITable.
- Analyze interview audio and store the text transcriptions within AITable.
- Create searchable databases of audio content by transcribing and indexing it.
- Process voice memos and log results directly to your AITable records.
- Extract insights from podcast audio and organize findings in AITable.
How secure is AITable data when using Latenode?
Latenode employs industry-standard security practices including encryption and access controls to protect your AITable data at all times.
Are there any limitations to the AITable and Google Cloud Speech-To-Text integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may take longer to process due to API rate limits.
- Google Cloud Speech-To-Text costs apply based on your usage.
- Customization of transcription parameters requires basic coding.