Landbot.io and OCR Space Integration

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Automatically extract data from documents uploaded via Landbot.io using OCR Space. Latenode’s visual editor and affordable execution pricing make document automation workflows easier to build, customize with JavaScript, and infinitely scalable.

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Landbot.io

OCR Space

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Landbot.io and OCR Space

Create a New Scenario to Connect Landbot.io and OCR Space

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

Add the Landbot.io Node

Select the Landbot.io node from the app selection panel on the right.

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Landbot.io

Configure the Landbot.io

Click on the Landbot.io node to configure it. You can modify the Landbot.io 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 Landbot.io 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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OCR Space

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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Landbot.io

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Configure the Landbot.io 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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OCR Space Oauth 2.0

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Run node once

Set Up the Landbot.io 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 Landbot.io, 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 “Run once” and triggering an event to check if the Landbot.io and OCR Space integration works as expected. Depending on your setup, data should flow between Landbot.io 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 Landbot.io and OCR Space

Landbot.io + OCR Space + Google Sheets: When a new event is triggered in Landbot, specifically an image upload, the image is sent to OCR Space to extract the text. The extracted text is then added as a new row in a Google Sheet for analysis.

OCR Space + Landbot.io + Airtable: When a new image or PDF is processed by OCR Space and converted to text, Landbot qualifies the extracted information by interacting with users to confirm or correct the data. Finally, the processed and validated data is stored as a new record in Airtable.

Landbot.io and OCR Space integration alternatives

About Landbot.io

Use Landbot.io in Latenode to build no-code chatbots, then connect them to your wider automation. Capture leads, qualify prospects, or provide instant support and trigger follow-up actions directly in your CRM, databases, or marketing tools. Latenode handles complex logic, scaling, and integrations without per-step fees.

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 Landbot.io and OCR Space

How can I connect my Landbot.io account to OCR Space using Latenode?

To connect your Landbot.io account to OCR Space on Latenode, follow these steps:

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

Can I extract data from images sent via Landbot.io?

Yes, you can! Latenode enables automated image processing from Landbot.io using OCR Space, streamlining data capture and eliminating manual entry. Leverage AI for improved accuracy.

What types of tasks can I perform by integrating Landbot.io with OCR Space?

Integrating Landbot.io with OCR Space allows you to perform various tasks, including:

  • Automatically extracting text from documents uploaded in Landbot.io chats.
  • Validating user-submitted ID cards against chat responses in real time.
  • Populating CRM fields based on data extracted from images.
  • Triggering follow-up Landbot.io conversations based on OCR results.
  • Archiving and indexing scanned documents received via Landbot.io.

Can I use JavaScript to pre-process images before OCR Space?

Yes! Latenode’s JavaScript node allows you to manipulate images before sending them to OCR Space, improving accuracy and reducing processing time.

Are there any limitations to the Landbot.io and OCR Space integration on Latenode?

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

  • OCR Space has usage limits based on your subscription plan.
  • Complex or low-resolution images may result in lower OCR accuracy.
  • Real-time processing of very large files might experience delays.

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