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

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Authenticate Straker Verify
Now, click the Straker Verify node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Straker Verify settings. Authentication allows you to use Straker Verify through Latenode.
Configure the Google Cloud Speech-To-Text and Straker Verify 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 Straker Verify 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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Straker Verify
Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Straker Verify, 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 Straker Verify integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Straker Verify (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 Straker Verify
Google Cloud Speech-To-Text + Straker Verify + Slack: Automatically transcribes audio from storage using Google Cloud Speech-To-Text. If the transcription fails verification in Straker Verify, a message is sent to a designated Slack channel for manual review and correction.
Slack + Google Cloud Speech-To-Text + Straker Verify: Upon a new message posted to a Slack channel, transcribe the audio file attached using Google Cloud Speech-To-Text. Subsequently, use Straker Verify to verify the transcription's accuracy.
Google Cloud Speech-To-Text and Straker Verify 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.
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About Straker Verify
Integrate Straker Verify in Latenode to automate translation quality checks. Flag low-quality translations based on your criteria. Build workflows that automatically re-translate or alert linguists. Use Latenode’s visual editor to connect Straker Verify to your CMS, TMS, or other systems without code, ensuring consistent output and faster localization cycles.
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See how Latenode works
FAQ Google Cloud Speech-To-Text and Straker Verify
How can I connect my Google Cloud Speech-To-Text account to Straker Verify using Latenode?
To connect your Google Cloud Speech-To-Text account to Straker Verify 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 Straker Verify accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate translation verification using speech data?
Yes, you can! Latenode enables automated workflows, passing Google Cloud Speech-To-Text outputs to Straker Verify. This simplifies quality checks and speeds up translation processes using low-code steps or custom JavaScript.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Straker Verify?
Integrating Google Cloud Speech-To-Text with Straker Verify allows you to perform various tasks, including:
- Automatically verifying the accuracy of translated audio transcripts.
- Creating alerts for translations that fail quality checks.
- Streamlining the process of correcting inaccurate transcriptions.
- Generating reports on translation quality and accuracy metrics.
- Triggering follow-up actions based on verification outcomes.
How does Latenode handle large Google Cloud Speech-To-Text audio files?
Latenode efficiently processes large files using scalable cloud infrastructure. You can parse, process, and route data via visual workflows, JavaScript, or AI steps.
Are there any limitations to the Google Cloud Speech-To-Text and Straker Verify integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Straker Verify API usage is subject to your Straker Verify subscription plan limits.
- Complex audio with significant background noise can impact transcription accuracy.
- Real-time, synchronous processing of very large audio files may experience delays.