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

Add the Google Cloud Text-To-Speech Node
Select the Google Cloud Text-To-Speech node from the app selection panel on the right.


Google Cloud Text-To-Speech

Configure the Google Cloud Text-To-Speech
Click on the Google Cloud Text-To-Speech node to configure it. You can modify the Google Cloud Text-To-Speech URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Docparser Node
Next, click the plus (+) icon on the Google Cloud Text-To-Speech node, select Docparser from the list of available apps, and choose the action you need from the list of nodes within Docparser.


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


Save and Activate the Scenario
After configuring Google Cloud Text-To-Speech, Docparser, 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 Text-To-Speech and Docparser integration works as expected. Depending on your setup, data should flow between Google Cloud Text-To-Speech and Docparser (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 Text-To-Speech and Docparser
Docparser + Google Cloud Text-To-Speech + Email: When a new document is parsed in Docparser, the extracted text is converted to speech using Google Cloud Text-To-Speech, and the resulting audio file is sent as an attachment via email.
Docparser + Google Cloud Text-To-Speech + Slack: Upon receiving parsed data from Docparser, convert the text into speech using Google Cloud Text-To-Speech. Then, post the audio file as a message to a designated Slack channel.
Google Cloud Text-To-Speech and Docparser integration alternatives

About Google Cloud Text-To-Speech
Use Google Cloud Text-To-Speech in Latenode to automate voice notifications, generate audio content from text, and create dynamic IVR systems. Integrate it into any workflow with a drag-and-drop interface. No code is required, and it's fully customizable with JavaScript for complex text manipulations. Automate voice tasks efficiently without vendor lock-in.
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About Docparser
Extract data from PDFs, invoices, and forms automatically with Docparser in Latenode. Stop manual data entry. Build workflows that trigger actions based on parsed content. Use Latenode’s no-code tools to filter, transform, and route data to your database or apps, creating scalable document processing pipelines.
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FAQ Google Cloud Text-To-Speech and Docparser
How can I connect my Google Cloud Text-To-Speech account to Docparser using Latenode?
To connect your Google Cloud Text-To-Speech account to Docparser on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Text-To-Speech and click on "Connect".
- Authenticate your Google Cloud Text-To-Speech and Docparser accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically generate audiobooks from parsed documents?
Yes, you can. Latenode lets you visually design complex workflows, parse documents with Docparser, then use Google Cloud Text-To-Speech to create audio, automatically saving hours of manual work.
What types of tasks can I perform by integrating Google Cloud Text-To-Speech with Docparser?
Integrating Google Cloud Text-To-Speech with Docparser allows you to perform various tasks, including:
- Convert parsed legal contracts into audio summaries.
- Create accessible audio versions of scanned documents.
- Generate audio guides from extracted product manuals.
- Automate audio narration for training materials from PDFs.
- Build voice-enabled chatbots that respond using parsed data.
Can I customize voice settings in Google Cloud Text-To-Speech within Latenode?
Yes, Latenode supports all Google Cloud Text-To-Speech voice options. You can adjust voice, pitch, and speed dynamically within your workflows.
Are there any limitations to the Google Cloud Text-To-Speech and Docparser integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex document layouts in Docparser may require advanced configuration.
- Google Cloud Text-To-Speech usage is subject to Google's pricing and quotas.
- Very large documents may require more processing time and resources.