Microsoft SQL Server and OCR Space Integration

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Automate data entry by extracting text from documents using OCR Space and storing it directly in Microsoft SQL Server. Latenode’s visual editor and affordable execution time make complex document workflows easy to build and scale without code.

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Microsoft SQL Server

OCR Space

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Microsoft SQL Server and OCR Space

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

Add the Microsoft SQL Server Node

Select the Microsoft SQL Server node from the app selection panel on the right.

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Configure the Microsoft SQL Server

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

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Add the OCR Space Node

Next, click the plus (+) icon on the Microsoft SQL Server 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 Microsoft SQL Server 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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Set Up the Microsoft SQL Server 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 Microsoft SQL Server, 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 Microsoft SQL Server and OCR Space integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server 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 Microsoft SQL Server and OCR Space

Microsoft SQL Server + OCR Space + Slack: A new or updated row in Microsoft SQL Server containing a file path triggers OCR Space to convert the image into text. The extracted text is then summarized and posted to a Slack channel.

OCR Space + Microsoft SQL Server + Google Sheets: OCR Space extracts text from an image. The extracted text and related metadata are stored as a new row in a Microsoft SQL Server database, and a log entry with the processing status is added to a Google Sheet.

Microsoft SQL Server and OCR Space integration alternatives

About Microsoft SQL Server

Use Microsoft SQL Server in Latenode to automate database tasks. Directly query, update, or insert data in response to triggers. Sync SQL data with other apps; simplify data pipelines for reporting and analytics. Build automated workflows without complex coding to manage databases efficiently and scale operations.

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 Microsoft SQL Server and OCR Space

How can I connect my Microsoft SQL Server account to OCR Space using Latenode?

To connect your Microsoft SQL Server account to OCR Space on Latenode, follow these steps:

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

Can I automatically update SQL database from scanned invoices?

Yes, you can! Latenode's visual editor makes it easy to parse data from OCR Space, then update your Microsoft SQL Server database in real time, reducing manual data entry and errors.

What types of tasks can I perform by integrating Microsoft SQL Server with OCR Space?

Integrating Microsoft SQL Server with OCR Space allows you to perform various tasks, including:

  • Extracting data from scanned documents directly into SQL databases.
  • Automating invoice processing and data entry into accounting systems.
  • Verifying scanned ID documents against database records for compliance.
  • Creating searchable archives of scanned documents using SQL indexing.
  • Building custom reporting dashboards from OCR and database data.

What kind of SQL queries can I run in Latenode?

Latenode supports a wide variety of SQL queries, including SELECT, INSERT, UPDATE, and DELETE, giving you full control over your data.

Are there any limitations to the Microsoft SQL Server and OCR Space integration on Latenode?

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

  • Large-scale OCR processing may impact workflow execution time.
  • Complex document layouts might require advanced OCR Space configuration.
  • Microsoft SQL Server connection limits are subject to your database plan.

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