Docparser and OCR Space Integration

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Combine Docparser’s structured data extraction with OCR Space’s superior text recognition. Latenode’s visual editor lets you refine the data flow, adding custom JavaScript logic if needed, and scale affordably by paying only for execution time.

Swap Apps

Docparser

OCR Space

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Docparser and OCR Space

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

Add the Docparser Node

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

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Configure the Docparser

Click on the Docparser node to configure it. You can modify the Docparser 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 Docparser 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 Docparser 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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Run node once

Set Up the Docparser 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 Docparser, 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 Docparser and OCR Space integration works as expected. Depending on your setup, data should flow between Docparser 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 Docparser and OCR Space

Docparser + OCR Space + Google Sheets: When a document is uploaded to Docparser, OCR Space converts the image to text. Extracted data from the document is then added as a new row in Google Sheets for accounting purposes.

OCR Space + Docparser + Airtable: When an image is processed by OCR Space, Docparser extracts specific data from the resulting text. This data is then used to update records in an Airtable database for inventory management.

Docparser and OCR Space integration alternatives

About Docparser

Extract data from PDFs, invoices, and forms automatically with Docparser in Latenode. Stop manual data entry. Build workflows that trigger actions based on parsed content. Use Latenode’s no-code tools to filter, transform, and route data to your database or apps, creating scalable document processing pipelines.

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 Docparser and OCR Space

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

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

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

Can I automatically extract data from scanned invoices?

Yes, you can! Latenode lets you visually automate this, combining Docparser's parsing with OCR Space's text recognition for seamless data extraction and reduced manual entry.

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

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

  • Automatically processing scanned documents into structured data.
  • Extracting text from image-based PDFs for automated workflows.
  • Converting paper documents to digital and searchable formats.
  • Streamlining invoice processing with automated data extraction.
  • Creating automated data entry systems from physical forms.

How can I handle complex document structures in Docparser with Latenode?

Latenode allows you to use JavaScript blocks to preprocess Docparser outputs,handling advanced logic and complex data transformations with ease.

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

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

  • OCR Space has rate limits on the number of API calls per hour.
  • Complex or poorly scanned documents may reduce OCR accuracy.
  • Large volumes of documents may require a paid OCR Space plan.

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