OCR Space and MongoDB Integration

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Automatically extract text from images with OCR Space and store it in MongoDB for analysis or archiving. Latenode’s visual editor makes it easier to process documents at scale with affordable execution-based pricing and custom JavaScript logic.

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OCR Space

MongoDB

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect OCR Space and MongoDB

Create a New Scenario to Connect OCR Space and MongoDB

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 MongoDB will be your first step. To do this, click "Choose an app," find OCR Space or MongoDB, 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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Run node once

Add the MongoDB Node

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

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Authenticate MongoDB

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

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Configure the OCR Space and MongoDB 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 MongoDB 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, MongoDB, 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 MongoDB integration works as expected. Depending on your setup, data should flow between OCR Space and MongoDB (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 MongoDB

OCR Space + MongoDB + Slack: When a new file is added to a designated source, OCR Space converts the image to text and saves the extracted data to a MongoDB database. Upon successful data insertion, a notification is sent to a specified Slack channel to alert the accounting team.

MongoDB + OCR Space + Gmail: When a new document is inserted into MongoDB, OCR Space will re-scan from the source location (if available), and then Gmail will send a summary of the newly scanned data to a specified email address.

OCR Space and MongoDB 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 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.

See how Latenode works

FAQ OCR Space and MongoDB

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

To connect your OCR Space account to MongoDB 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 MongoDB accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I archive scanned invoices to MongoDB?

Yes, you can! Latenode's visual editor makes it easy to extract data from OCR Space and automatically store it in MongoDB. Simplify compliance and boost data accessibility!

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

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

  • Automatically archiving scanned documents into a MongoDB database.
  • Extracting text from images and storing it for later analysis.
  • Creating searchable databases from scanned paper documents.
  • Populating MongoDB collections with data captured from receipts.
  • Building custom data pipelines using OCR and database storage.

How secure is OCR Space data handling within Latenode workflows?

Latenode uses secure connections and encryption to protect your OCR Space data, ensuring privacy and compliance throughout your automations.

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

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

  • Large volumes of data can impact workflow execution speed.
  • Free OCR Space accounts may have usage limits.
  • Complex document layouts may require advanced OCR configuration.

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