.svg){kind=icon}
How to connect Google Cloud Speech-To-Text and Jibble
Create a New Scenario to Connect Google Cloud Speech-To-Text and Jibble
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 Jibble will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or Jibble, 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.
+
1
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 Jibble Node
Next, click the plus (+) icon on the Google Cloud Speech-To-Text node, select Jibble from the list of available apps, and choose the action you need from the list of nodes within Jibble.
1
Google Cloud Speech-To-Text
⚙
+
2
Jibble
Authenticate Jibble
Now, click the Jibble node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Jibble settings. Authentication allows you to use Jibble through Latenode.
Configure the Google Cloud Speech-To-Text and Jibble 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 Jibble 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.
5
JavaScript
⚙
6
AI Anthropic Claude 3
⚙
+
7
Jibble
1
Trigger on Webhook
⚙
2
Google Cloud Speech-To-Text
⚙
⚙
3
Iterator
⚙
+
4
Webhook response
Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Jibble, 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 Jibble integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Jibble (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 Jibble
Jibble + Google Cloud Speech-To-Text + Slack: When an employee clocks in or out using Jibble and includes a voice note, the audio is transcribed using Google Cloud Speech-To-Text. The resulting text is then sent as a summary to a designated Slack channel.
Jibble + Google Cloud Speech-To-Text + Google Sheets: When a new clock in or out event is recorded in Jibble, particularly those with voice notes explaining absences, the audio is transcribed using Google Cloud Speech-To-Text. The transcription, along with other relevant attendance data, is then logged into a Google Sheets spreadsheet for tracking and reporting.
Google Cloud Speech-To-Text and Jibble 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 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.
Similar apps
Related categories
See how Latenode works
.svg)
.png)
FAQ Google Cloud Speech-To-Text and Jibble
How can I connect my Google Cloud Speech-To-Text account to Jibble using Latenode?
To connect your Google Cloud Speech-To-Text account to Jibble 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 Jibble accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe employee voice memos into Jibble entries?
Yes, you can. Latenode allows seamless data transformation using JavaScript, ensuring accurate transcription and formatting for Jibble. This streamlines time tracking and reduces manual input.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Jibble?
Integrating Google Cloud Speech-To-Text with Jibble allows you to perform various tasks, including:
- Automatically create Jibble time entries from transcribed voice notes.
- Analyze employee speech patterns for sentiment within tracked work hours.
- Trigger alerts in Jibble based on keywords identified in speech transcripts.
- Use AI to summarize meeting notes dictated via Google Cloud Speech-To-Text for Jibble entries.
- Record and transcribe shift briefings, automatically logging attendance in Jibble.
Can I use custom dictionaries in Google Cloud Speech-To-Text on Latenode?
Yes, Latenode supports integrating custom dictionaries. Enhance transcription accuracy by incorporating industry-specific vocabulary for better Jibble data.
Are there any limitations to the Google Cloud Speech-To-Text and Jibble integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require significant processing time.
- Transcription accuracy depends on audio quality and language clarity.
- Jibble's API rate limits may affect the frequency of data updates.
