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


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Authenticate Google Cloud Speech-To-Text
Now, click the Google Cloud Speech-To-Text node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Speech-To-Text settings. Authentication allows you to use Google Cloud Speech-To-Text through Latenode.
Configure the PDFMonkey and Google Cloud Speech-To-Text 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 Speech-To-Text 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 Speech-To-Text, 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 Speech-To-Text integration works as expected. Depending on your setup, data should flow between PDFMonkey and Google Cloud Speech-To-Text (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 Speech-To-Text
Google Drive + Google Cloud Speech-To-Text + PDFMonkey: When a new audio file is added to Google Drive, Google Cloud Speech-To-Text transcribes the audio. Then, PDFMonkey generates a PDF report from the transcription.
Google Cloud Speech-To-Text + PDFMonkey + Google Drive: After Google Cloud Speech-To-Text transcribes speech, PDFMonkey generates a summary document and uploads it to Google Drive.
PDFMonkey and Google Cloud Speech-To-Text 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 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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See how Latenode works
FAQ PDFMonkey and Google Cloud Speech-To-Text
How can I connect my PDFMonkey account to Google Cloud Speech-To-Text using Latenode?
To connect your PDFMonkey account to Google Cloud Speech-To-Text 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 Speech-To-Text accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe audio to PDF automatically?
Yes, you can! Latenode allows seamless automation of this process. Generate PDFs from audio transcriptions instantly, saving time and resources with no-code ease.
What types of tasks can I perform by integrating PDFMonkey with Google Cloud Speech-To-Text?
Integrating PDFMonkey with Google Cloud Speech-To-Text allows you to perform various tasks, including:
- Generate contracts from transcribed voice recordings automatically.
- Create accessible PDF documents from speech-based meeting notes.
- Automate report creation from voice-recorded data using AI steps.
- Process customer feedback by transcribing calls into PDF reports.
- Build archives of transcribed podcasts converted into shareable PDFs.
How secure is my PDFMonkey data inside Latenode workflows?
Latenode employs advanced security measures, including encryption and access controls, ensuring the safety of your PDFMonkey data.
Are there any limitations to the PDFMonkey and Google Cloud Speech-To-Text integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require longer processing times.
- PDFMonkey's document generation quotas still apply.
- Complex audio with background noise affects transcription accuracy.