MongoDB and OCR Space Integration

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Automatically extract text from images using OCR Space and store the data in MongoDB. Latenode's visual editor and affordable execution-based pricing make document processing and data management workflows easier to build and scale.

Swap Apps

MongoDB

OCR Space

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect MongoDB and OCR Space

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

Add the MongoDB Node

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

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MongoDB

Configure the MongoDB

Click on the MongoDB node to configure it. You can modify the MongoDB 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 MongoDB 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 MongoDB 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 MongoDB 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 MongoDB, 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 MongoDB and OCR Space integration works as expected. Depending on your setup, data should flow between MongoDB 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 MongoDB and OCR Space

OCR Space + Google Sheets + MongoDB: When a new image is processed by OCR Space, extract the text and add a new row to a Google Sheet. Then, insert the extracted data into a MongoDB collection.

OCR Space + MongoDB + Slack: When OCR Space converts an image to text, search the text for a specific keyword, and if found, update a MongoDB collection and send a message to a Slack channel.

MongoDB and OCR Space integration alternatives

About MongoDB

Use MongoDB in Latenode to automate data storage and retrieval. Aggregate data from multiple sources, then store it in MongoDB for analysis or reporting. Latenode lets you trigger workflows based on MongoDB changes, create real-time dashboards, and build custom integrations. Low-code tools and JavaScript nodes unlock flexibility for complex data tasks.

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 MongoDB and OCR Space

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

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

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

Can I automatically update MongoDB with data extracted from scanned invoices?

Yes, you can! Latenode's visual editor makes it easy to create a workflow that extracts data from invoices using OCR Space and instantly updates your MongoDB database.

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

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

  • Extracting text from scanned documents and storing it in MongoDB.
  • Automatically updating product information from images into a MongoDB database.
  • Creating searchable databases from scanned archives via automated OCR.
  • Analyzing document images for specific keywords and storing the results.
  • Building automated workflows for processing and storing receipts in MongoDB.

Can I use JavaScript code to manipulate data between MongoDB and OCR Space?

Yes! Latenode allows you to use JavaScript code blocks to transform data between MongoDB and OCR Space for advanced customization.

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

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

  • OCR Space has rate limits based on your subscription tier.
  • Complex document layouts may require fine-tuning of OCR Space parameters.
  • MongoDB connection speed depends on your database configuration.

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