Connect PDF-API.io and Nanonets to Build Intelligent Automations

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PDF-API.io

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Nanonets

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Enable Integrations or automations with these events of PDF-API.io and Nanonets

Enable Integrations or automations with these events of PDF-API.io and Nanonets

Actions

Create PDF from template

Create PDF from template

Create a PDF from a template using your data and get the file or a download link.

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Frequently Asked Questions

How do I start an integration between PDF-API.io and Nanonets?

To start, connect both your PDF-API.io and Nanonets accounts to viaSocket. Once connected, you can set up a workflow where an event in PDF-API.io triggers actions in Nanonets (or vice versa).

Can we customize how data from PDF-API.io is recorded in Nanonets?

Absolutely. You can customize how PDF-API.io data is recorded in Nanonets. This includes choosing which data fields go into which fields of Nanonets, setting up custom formats, and filtering out unwanted information.

How often does the data sync between PDF-API.io and Nanonets?

The data sync between PDF-API.io and Nanonets typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from PDF-API.io to Nanonets?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between PDF-API.io and Nanonets?

Yes, you can set conditional logic to control the flow of data between PDF-API.io and Nanonets. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.

PDF-API.io

About PDF-API.io

PDF-API.io offers robust solutions for managing and manipulating PDF documents, providing seamless integration for developers and businesses to automate PDF-related tasks.

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Nanonets

About Nanonets

Nanonets is a cutting-edge AI platform that specializes in automating data extraction and processing using machine learning models. It allows businesses to streamline their workflows by converting unstructured data into structured formats, enhancing efficiency and accuracy in data handling.

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