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

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


Jibble

Add the Google Cloud Speech-To-Text Node
Next, click the plus (+) icon on the Jibble 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 Jibble 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 Jibble 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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Jibble
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Webhook response

Save and Activate the Scenario
After configuring Jibble, 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 Jibble and Google Cloud Speech-To-Text integration works as expected. Depending on your setup, data should flow between Jibble 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 Jibble and Google Cloud Speech-To-Text
Jibble + Google Cloud Speech-To-Text + Slack: When a new clock in or out event is recorded in Jibble, the voice note attached is sent to Google Cloud Speech-To-Text for transcription. The transcribed text is then sent to a designated Slack channel for manager review.
Jibble + Google Cloud Speech-To-Text + Google Sheets: When new clock in/out data with voice notes are recorded in Jibble, the audio is sent to Google Cloud Speech-To-Text for transcription. The transcribed text is then added as a new row in Google Sheets for analysis.
Jibble and Google Cloud Speech-To-Text integration alternatives

About Jibble
Jibble streamlines time tracking. Connect it to Latenode to automate payroll, project costing, or attendance alerts. Send Jibble data to accounting software or HR platforms automatically. Use Latenode's visual editor to create custom rules and notifications based on employee time entries, eliminating manual data transfer and ensuring accurate records.
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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 Jibble and Google Cloud Speech-To-Text
How can I connect my Jibble account to Google Cloud Speech-To-Text using Latenode?
To connect your Jibble account to Google Cloud Speech-To-Text on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Jibble and click on "Connect".
- Authenticate your Jibble and Google Cloud Speech-To-Text accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe employee attendance notes using speech-to-text?
Yes, you can! Latenode lets you automatically transcribe Jibble notes via Google Cloud Speech-To-Text, analyze the transcript using AI, and trigger alerts based on keywords, automating feedback loops.
What types of tasks can I perform by integrating Jibble with Google Cloud Speech-To-Text?
Integrating Jibble with Google Cloud Speech-To-Text allows you to perform various tasks, including:
- Automatically transcribing voice notes left during employee time tracking.
- Analyzing transcribed attendance data for specific keywords or phrases.
- Creating reports on employee sentiment based on transcribed voice entries.
- Triggering alerts for management based on keywords found in transcriptions.
- Storing transcribed data and related analysis in a database or spreadsheet.
HowsecureisJibbledatawhenusingLatenodetointegratewithotherapps?
Latenode employs robust security measures, including encryption and access controls, ensuring your Jibble data remains secure during integration processes.
Are there any limitations to the Jibble and Google Cloud Speech-To-Text integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Google Cloud Speech-To-Text usage costs are separate and depend on your Google Cloud plan.
- Transcription accuracy depends on the audio quality of the Jibble voice notes.
- Large volumes of transcriptions may require optimized workflows for efficient processing.