PandaDoc and CloudConvert Integration

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Automatically convert finalized PandaDoc documents with CloudConvert to archive-friendly formats. Latenode's visual editor simplifies the integration, while affordable execution-based pricing makes document automation scalable.

Swap Apps

PandaDoc

CloudConvert

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect PandaDoc and CloudConvert

Create a New Scenario to Connect PandaDoc and CloudConvert

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 PandaDoc, triggered by another scenario, or executed manually (for testing purposes). In most cases, PandaDoc or CloudConvert will be your first step. To do this, click "Choose an app," find PandaDoc or CloudConvert, and select the appropriate trigger to start the scenario.

Add the PandaDoc Node

Select the PandaDoc node from the app selection panel on the right.

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Configure the PandaDoc

Click on the PandaDoc node to configure it. You can modify the PandaDoc URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Sign In

Run node once

Add the CloudConvert Node

Next, click the plus (+) icon on the PandaDoc node, select CloudConvert from the list of available apps, and choose the action you need from the list of nodes within CloudConvert.

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Authenticate CloudConvert

Now, click the CloudConvert node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your CloudConvert settings. Authentication allows you to use CloudConvert through Latenode.

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Sign In

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Configure the PandaDoc and CloudConvert Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Select an action *

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Run node once

Set Up the PandaDoc and CloudConvert 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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Save and Activate the Scenario

After configuring PandaDoc, CloudConvert, 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 PandaDoc and CloudConvert integration works as expected. Depending on your setup, data should flow between PandaDoc and CloudConvert (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect PandaDoc and CloudConvert

PandaDoc + CloudConvert + Airtable: When a PandaDoc document status changes (e.g., is completed), the document is converted to a specified format using CloudConvert. The converted document's information (e.g., file URL) and relevant details are then stored as a new record in an Airtable base.

Google Drive + CloudConvert + PandaDoc: When a new file is added to a Google Drive folder or a file is modified, it is converted to PDF format using CloudConvert. Once the conversion is complete, the PDF document is automatically sent out for signature via PandaDoc.

PandaDoc and CloudConvert integration alternatives

About PandaDoc

Automate document workflows with PandaDoc in Latenode. Generate, send, and track proposals/contracts without manual steps. Use Latenode to trigger PandaDoc actions from your CRM or database. Parse data, pre-fill templates, and update records when documents are signed – saving time and ensuring data accuracy across systems. Scales easily.

About CloudConvert

Need to convert files as part of your automation? Integrate CloudConvert into Latenode to automatically transform documents, images, audio, and video formats. Automate media processing workflows, optimize file sizes for storage, and ensure compatibility across platforms—all within Latenode's visual, scalable environment.

See how Latenode works

FAQ PandaDoc and CloudConvert

How can I connect my PandaDoc account to CloudConvert using Latenode?

To connect your PandaDoc account to CloudConvert on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select PandaDoc and click on "Connect".
  • Authenticate your PandaDoc and CloudConvert accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automate document conversion after PandaDoc completion?

Yes, you can! Latenode lets you trigger CloudConvert to automatically convert completed PandaDoc documents to formats like PDF/A for archiving, ensuring compliance and efficient document management.

What types of tasks can I perform by integrating PandaDoc with CloudConvert?

Integrating PandaDoc with CloudConvert allows you to perform various tasks, including:

  • Automatically converting signed PandaDoc contracts into editable formats.
  • Generating PandaDoc documents from converted lead data files.
  • Converting accepted proposals into specific formats for archiving.
  • Creating custom workflows using file conversions and document signing.
  • Extracting data from converted documents to update PandaDoc templates.

Can I customize the CloudConvert settings within a Latenode workflow?

Yes! Latenode allows you to fully customize CloudConvert conversion options, like quality, resolution, and watermarks, directly within your automated workflows.

Are there any limitations to the PandaDoc and CloudConvert integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Complex CloudConvert features require understanding of its API.
  • Large file conversions may impact workflow execution time.
  • Integration relies on the availability of both PandaDoc and CloudConvert APIs.

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