OCR Space and Adalo Integration

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Automatically populate your Adalo app from scanned documents using OCR Space, processing high volumes affordably with Latenode's execution-based pricing. Scale your data entry workflows with no-code ease, adding custom logic via JavaScript when needed for advanced data transformations.

Swap Apps

OCR Space

Adalo

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect OCR Space and Adalo

Create a New Scenario to Connect OCR Space and Adalo

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

Add the OCR Space Node

Select the OCR Space node from the app selection panel on the right.

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OCR Space

Configure the OCR Space

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

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Connect OCR Space

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Run node once

Add the Adalo Node

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

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Adalo

Authenticate Adalo

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

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Configure the OCR Space and Adalo 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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Run node once

Set Up the OCR Space and Adalo 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 OCR Space, Adalo, 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 OCR Space and Adalo integration works as expected. Depending on your setup, data should flow between OCR Space and Adalo (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect OCR Space and Adalo

OCR Space + Adalo + Google Sheets: When a new image is received by OCR Space, the text is extracted. Then, a new record is created in Adalo with the extracted information, and the data is also added to a Google Sheets spreadsheet for record-keeping and analysis.

Adalo + OCR Space + Airtable: When a new record is added in Adalo, the associated image is sent to OCR Space to extract the text. The extracted text is then used to update the corresponding record in Airtable, ensuring data verification and completeness.

OCR Space and Adalo integration alternatives

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.

About Adalo

Use Adalo with Latenode to automate tasks triggered by your no-code apps. Update databases, send custom notifications, or process data from Adalo forms in real-time. Latenode adds advanced logic, data transformation, and scaling beyond Adalo's limits, with flexible JavaScript coding and cost-effective execution pricing.

See how Latenode works

FAQ OCR Space and Adalo

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

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

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

Can I automatically update Adalo collections using OCR Space data?

Yes, you can! Latenode’s visual editor allows parsing OCR Space data and updating Adalo in real-time. Automate data entry, reduce errors, and keep your Adalo apps current.

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

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

  • Extracting text from scanned invoices and adding data to an Adalo database.
  • Automatically updating user profiles in Adalo with data from scanned IDs.
  • Creating new Adalo records from information extracted from business cards.
  • Populating Adalo lists with product data scraped from scanned catalogs.
  • Validating form submissions in Adalo against data extracted via OCR Space.

How does Latenode enhance OCR Space data processing?

Latenode provides advanced logic, AI steps, and JavaScript code blocks to refine OCR Space output before updating Adalo, ensuring high data accuracy.

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

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

  • OCR Space has usage limits on its free and paid plans regarding request volume.
  • Complex document layouts might require advanced OCR Space configuration.
  • Adalo’s API limits can affect the speed of data updates for large datasets.

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