How to connect Google Cloud Speech-To-Text and ConvertAPI
Create a New Scenario to Connect Google Cloud Speech-To-Text and ConvertAPI
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
Add the first node β 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 ConvertAPI will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or ConvertAPI, 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 ConvertAPI Node
Next, click the plus (+) icon on the Google Cloud Speech-To-Text node, select ConvertAPI from the list of available apps, and choose the action you need from the list of nodes within ConvertAPI.

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ConvertAPI

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

Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, ConvertAPI, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the Google Cloud Speech-To-Text and ConvertAPI integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and ConvertAPI (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 ConvertAPI
Google Drive + Google Cloud Speech-To-Text + ConvertAPI: When a new audio file is added to a specific folder in Google Drive, it is sent to Google Cloud Speech-To-Text for transcription. The resulting text is then converted to a PDF file using ConvertAPI and saved back to Google Drive.
Email + ConvertAPI + Google Cloud Speech-To-Text: When a new email arrives with a document attachment, ConvertAPI converts the document to an audio file. Google Cloud Speech-To-Text then transcribes the audio, allowing you to 'listen' to the document content.
Google Cloud Speech-To-Text and ConvertAPI 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 ConvertAPI
Automate file conversions within Latenode. ConvertAPI handles PDFs, images, documents, and more. Instead of manual uploads or custom code, build automated workflows to convert files as they arrive, then parse data or trigger follow-up actions. Scales easily, no coding needed.
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FAQ Google Cloud Speech-To-Text and ConvertAPI
How can I connect my Google Cloud Speech-To-Text account to ConvertAPI using Latenode?
To connect your Google Cloud Speech-To-Text account to ConvertAPI 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 ConvertAPI accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe audio files and convert them to PDF?
Yes, you can! Latenode lets you automate this using a visual interface, incorporating custom logic and AI to refine your document output, delivering polished, searchable PDFs.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with ConvertAPI?
Integrating Google Cloud Speech-To-Text with ConvertAPI allows you to perform various tasks, including:
- Automatically convert audio transcriptions into formatted Word documents.
- Generate PDF reports from spoken meeting notes.
- Archive audio transcripts as searchable PDF files.
- Create accessible documents from voice recordings.
- Transform audio-derived text into presentation slides.
Can I use custom JavaScript with Google Cloud Speech-To-Text?
Yes! Latenode allows you to incorporate JavaScript code for advanced audio processing or custom logic, enhancing the base integration.
Are there any limitations to the Google Cloud Speech-To-Text and ConvertAPI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may take time to process depending on Google Cloud Speech-To-Text's processing capacity.
- Complex formatting requirements in ConvertAPI might require custom JavaScript for optimal results.
- The accuracy of transcriptions depends on the audio quality and Google Cloud Speech-To-Text's performance.