How to connect Google Cloud Speech-To-Text and Recruitee
Create a New Scenario to Connect Google Cloud Speech-To-Text and Recruitee
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 Recruitee will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or Recruitee, 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 Recruitee Node
Next, click the plus (+) icon on the Google Cloud Speech-To-Text node, select Recruitee from the list of available apps, and choose the action you need from the list of nodes within Recruitee.

Google Cloud Speech-To-Text
⚙
Recruitee
Authenticate Recruitee
Now, click the Recruitee node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Recruitee settings. Authentication allows you to use Recruitee through Latenode.
Configure the Google Cloud Speech-To-Text and Recruitee 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 Recruitee 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
⚙
Recruitee
Trigger on Webhook
⚙
Google Cloud Speech-To-Text
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Recruitee, 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 Recruitee integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Recruitee (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 Recruitee
Google Cloud Speech-To-Text + Recruitee + Slack: Transcribe interview audio from Google Cloud Storage, then update the corresponding candidate's profile in Recruitee with the transcription. Finally, send a Slack message to a designated channel summarizing key insights from the interview.
Recruitee + Google Cloud Speech-To-Text + Google Docs: When a new candidate is added to Recruitee, transcribe the interview audio using Google Cloud Speech-To-Text and create a summary document in Google Docs to share with hiring managers.
Google Cloud Speech-To-Text and Recruitee 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 Recruitee
Automate your hiring process with Recruitee in Latenode. Trigger workflows on new applications to screen candidates, send automated messages, and update other systems. Connect Recruitee to HR tools for seamless data flow and custom talent pipelines. Simplify recruiting tasks using Latenode's visual editor and scaling options.
Related categories
See how Latenode works
FAQ Google Cloud Speech-To-Text and Recruitee
How can I connect my Google Cloud Speech-To-Text account to Recruitee using Latenode?
To connect your Google Cloud Speech-To-Text account to Recruitee 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 Recruitee accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically transcribe interview audio and add notes to Recruitee?
Yes! Latenode's flexibility lets you transcribe audio from interviews via Google Cloud Speech-To-Text and automatically update candidate profiles in Recruitee, saving time and improving data entry accuracy.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Recruitee?
Integrating Google Cloud Speech-To-Text with Recruitee allows you to perform various tasks, including:
- Transcribing candidate interview audio directly into Recruitee notes.
- Analyzing spoken feedback from candidates for sentiment analysis.
- Creating summaries of phone screenings and adding them to profiles.
- Generating automated reports on commonly discussed topics.
- Updating candidate stages based on keywords spoken in interviews.
What data security measures are in place when using Google Cloud Speech-To-Text?
Latenode handles data securely, but you should also configure Google Cloud Speech-To-Text with proper encryption and access control settings for optimal protection.
Are there any limitations to the Google Cloud Speech-To-Text and Recruitee integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require significant processing time.
- The accuracy of transcriptions depends on audio quality and language complexity.
- Recruitee API rate limits may affect the speed of data updates.