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

Add the PDFMonkey Node
Select the PDFMonkey node from the app selection panel on the right.


PDFMonkey

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


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Authenticate Google Cloud Text-To-Speech
Now, click the Google Cloud Text-To-Speech node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Text-To-Speech settings. Authentication allows you to use Google Cloud Text-To-Speech through Latenode.
Configure the PDFMonkey and Google Cloud Text-To-Speech 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 PDFMonkey and Google Cloud Text-To-Speech 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring PDFMonkey, Google Cloud Text-To-Speech, 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 PDFMonkey and Google Cloud Text-To-Speech integration works as expected. Depending on your setup, data should flow between PDFMonkey and Google Cloud Text-To-Speech (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect PDFMonkey and Google Cloud Text-To-Speech
PDFMonkey + Google Cloud Text-To-Speech + Email: When a PDF document is generated in PDFMonkey (e.g., an invoice), it is converted to audio using Google Cloud Text-To-Speech. The resulting audio file is then emailed to the customer.
HubSpot + Google Cloud Text-To-Speech + PDFMonkey: When a new call engagement is created in HubSpot, Google Cloud Text-To-Speech is used to transcribe the call. A PDF report summarizing the call is then generated using PDFMonkey and saved to the contact's HubSpot record.
PDFMonkey and Google Cloud Text-To-Speech integration alternatives

About PDFMonkey
Use PDFMonkey in Latenode to automate document creation from templates. Populate PDFs with data from any app (CRM, database, etc.) via API. Latenode lets you trigger PDF generation based on events, archive documents, and send them automatically. Simplify reporting and document workflows with no-code or custom code.
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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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FAQ PDFMonkey and Google Cloud Text-To-Speech
How can I connect my PDFMonkey account to Google Cloud Text-To-Speech using Latenode?
To connect your PDFMonkey account to Google Cloud Text-To-Speech on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select PDFMonkey and click on "Connect".
- Authenticate your PDFMonkey and Google Cloud Text-To-Speech accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically create accessible audio versions of generated PDF documents?
Yes, you can! Latenode automates content extraction, text-to-speech conversion, and audio file integration, saving time and improving document accessibility effortlessly.
What types of tasks can I perform by integrating PDFMonkey with Google Cloud Text-To-Speech?
Integrating PDFMonkey with Google Cloud Text-To-Speech allows you to perform various tasks, including:
- Generate audio versions of invoices created in PDFMonkey.
- Create accessible training materials from PDF documentation.
- Automate audio summaries for PDF reports.
- Produce multilingual audio guides from PDF manuals.
- Develop interactive PDF experiences with embedded audio narration.
How does Latenode simplify PDF generation using PDFMonkey templates?
Latenode's visual editor lets you map data to PDFMonkey templates without code. Add logic, AI steps, and custom JavaScript for advanced control.
Are there any limitations to the PDFMonkey and Google Cloud Text-To-Speech integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large PDF documents may require longer processing times for text extraction.
- Google Cloud Text-To-Speech usage is subject to Google's pricing and API limits.
- Custom voice selection options might require adjustments within the Google Cloud console.