PDF.co and Google Vertex AI Integration

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Use PDF.co to parse documents then Google Vertex AI to analyze the data, creating insights without code. Latenode's visual editor and affordable execution costs let you scale complex AI workflows easily.

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PDF.co

Google Vertex AI

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect PDF.co and Google Vertex AI

Create a New Scenario to Connect PDF.co and Google Vertex AI

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

Add the PDF.co Node

Select the PDF.co node from the app selection panel on the right.

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PDF.co

Configure the PDF.co

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

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Run node once

Add the Google Vertex AI Node

Next, click the plus (+) icon on the PDF.co node, select Google Vertex AI from the list of available apps, and choose the action you need from the list of nodes within Google Vertex AI.

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Authenticate Google Vertex AI

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

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Run node once

Configure the PDF.co and Google Vertex AI 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 PDF.co and Google Vertex AI 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 PDF.co, Google Vertex AI, 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 PDF.co and Google Vertex AI integration works as expected. Depending on your setup, data should flow between PDF.co and Google Vertex AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect PDF.co and Google Vertex AI

PDF.co + Google Vertex AI + Google Sheets: When a PDF invoice is received, PDF.co extracts the data using its AI Invoice Parser. Then, Google Vertex AI analyzes the extracted data. Finally, the organized information is saved into a Google Sheet.

Slack + Google Vertex AI + PDF.co: When a new message is posted in a Slack channel, Google Vertex AI analyzes the text and extracts urgent requests. Then, PDF.co generates a PDF report summarizing the urgent requests and sends it back to the Slack channel.

PDF.co and Google Vertex AI integration alternatives

About PDF.co

Need to automate PDF tasks? Use PDF.co in Latenode to parse data, convert formats, and add signatures. Automate document processing workflows without code. Latenode’s visual editor and affordable pricing make it easy to build scalable solutions for invoices, reports, and more. Bypass manual work and centralize document automation.

About Google Vertex AI

Use Vertex AI in Latenode to build AI-powered automation. Quickly integrate machine learning models for tasks like sentiment analysis or image recognition. Automate data enrichment or content moderation workflows without complex coding. Latenode’s visual editor makes it easier to chain AI tasks and scale them reliably, paying only for the execution time of each flow.

See how Latenode works

FAQ PDF.co and Google Vertex AI

How can I connect my PDF.co account to Google Vertex AI using Latenode?

To connect your PDF.co account to Google Vertex AI on Latenode, follow these steps:

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

Can I extract data from a PDF and analyze sentiment?

Yes! Latenode lets you quickly extract PDF data using PDF.co and then analyze sentiment using Google Vertex AI, all visually. Gain instant insights and automate your feedback analysis workflows.

What types of tasks can I perform by integrating PDF.co with Google Vertex AI?

Integrating PDF.co with Google Vertex AI allows you to perform various tasks, including:

  • Automatically classifying PDF documents based on their content.
  • Extracting key data points from invoices and analyzing trends.
  • Generating summaries of lengthy PDF reports using AI.
  • Detecting personally identifiable information (PII) in PDFs.
  • Converting scanned documents into searchable and analyzable data.

What PDF.co actions can I use within my Latenode workflows?

You can use PDF.co actions for PDF parsing, conversion, generation, and more, integrating seamlessly with other Latenode apps and tools.

Are there any limitations to the PDF.co and Google Vertex AI integration on Latenode?

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

  • Large PDF files may take longer to process depending on API usage.
  • AI model accuracy depends on the quality of the input data.
  • Advanced customization requires some familiarity with JavaScript.

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