Delighted and OCR Space Integration

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Automatically trigger Delighted surveys from paper form data extracted by OCR Space using Latenode's visual editor. Build logic visually, customize with JavaScript, and pay only for execution time.

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Delighted

OCR Space

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Delighted and OCR Space

Create a New Scenario to Connect Delighted and OCR Space

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

Add the Delighted Node

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

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Delighted

Configure the Delighted

Click on the Delighted node to configure it. You can modify the Delighted 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 OCR Space Node

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

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Authenticate OCR Space

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

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Configure the Delighted and OCR Space 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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Set Up the Delighted and OCR Space 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 Delighted, OCR Space, 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 β€œRun once” and triggering an event to check if the Delighted and OCR Space integration works as expected. Depending on your setup, data should flow between Delighted and OCR Space (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Delighted and OCR Space

Delighted + OCR Space + Google Sheets: When a new response is received in Delighted, if the response includes an attached image, OCR Space converts the image to text. Both the original response and the OCR-extracted text are then added as a new row to a Google Sheet for analysis.

OCR Space + Delighted + Slack: When a new file is added to OCR Space, the converted text is checked for keywords from Delighted survey responses. If keywords related to negative feedback are detected, a notification is sent to a designated Slack channel.

Delighted and OCR Space integration alternatives

About Delighted

Automate feedback loops with Delighted in Latenode. Send surveys post-interaction and instantly act on results. Route scores to your team's Slack, update records in your CRM, or trigger follow-ups based on sentiment. Build adaptable workflows with no-code tools, custom logic, and AI β€” all without per-step costs.

About OCR Space

Need to extract text from images or PDFs? Use OCR Space in Latenode to automatically process documents and integrate the data into your workflows. Automate invoice processing, data entry, or compliance checks. Latenode adds flexible logic, file parsing, and destinations to your OCR results, scaling beyond single-document processing.

See how Latenode works

FAQ Delighted and OCR Space

How can I connect my Delighted account to OCR Space using Latenode?

To connect your Delighted account to OCR Space on Latenode, follow these steps:

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

Can I automatically analyze feedback forms using OCR Space?

Yes, you can! Latenode enables automated analysis of Delighted feedback forms using OCR Space, extracting text and providing insights with AI. Get deeper insights instantly.

What types of tasks can I perform by integrating Delighted with OCR Space?

Integrating Delighted with OCR Space allows you to perform various tasks, including:

  • Extract text from customer feedback images for sentiment analysis.
  • Automatically update customer profiles with data from scanned surveys.
  • Archive and index feedback form images along with extracted text.
  • Trigger alerts based on keywords found in customer feedback scans.
  • Process handwritten feedback forms via OCR and analyze responses.

How can Latenode enhance Delighted's data processing capabilities?

Latenode enhances Delighted by adding OCR Space's text extraction capabilities, parsing unstructured data, and triggering automated workflows from insights.

Are there any limitations to the Delighted and OCR Space integration on Latenode?

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

  • OCR Space's free tier has usage limitations on the number of requests.
  • Handwriting recognition accuracy can vary based on image quality.
  • Complex document layouts might require additional parsing logic.

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