MySQL and OCR Space Integration

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Automatically extract text from scanned documents with OCR Space, then structure and store that data in MySQL using Latenode's visual editor and affordable execution pricing. Scale document processing without complex coding.

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MySQL

OCR Space

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect MySQL and OCR Space

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

Add the MySQL Node

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

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Configure the MySQL

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

OCR Space + MySQL + Google Sheets: When a new image is uploaded, OCR Space converts it to text, which is then stored in a MySQL database. Finally, a summary of the extracted data is added to a Google Sheet.

OCR Space + MySQL + Slack: When a new invoice image is received, OCR Space digitizes the invoice data and saves it to a MySQL database. Then, Slack sends a notification to the accounting team about the new invoice.

MySQL and OCR Space integration alternatives

About MySQL

Use MySQL in Latenode to automate database tasks. Read, update, or create records based on triggers from other apps. Streamline data entry, reporting, or inventory management. Latenode's visual editor simplifies MySQL integrations, allowing you to build scalable workflows with no-code tools or custom JavaScript logic.

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 MySQL and OCR Space

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

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

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

Can I automatically archive scanned invoices in MySQL?

Yes, you can! Latenode enables this automation, extracting data from invoices via OCR Space and storing it in MySQL. Benefit: streamlined bookkeeping and faster data retrieval.

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

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

  • Automatically updating a database from scanned document data.
  • Creating searchable archives of physical documents in MySQL.
  • Validating data extracted from images against existing records.
  • Triggering database actions based on text found in scanned images.
  • Building custom reporting dashboards using OCR data in MySQL.

HowdoIoptimizeMySQLquerieswithinLatenodeforfasterprocessing?

Latenode allows you to use JavaScript blocks to pre-process data before sending it to MySQL, dramatically improving query performance and reducing database load.

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

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

  • Free OCR Space accounts have usage limits, affecting throughput.
  • Complex document layouts may require advanced OCR configuration.
  • Very large MySQL datasets can impact workflow execution time.

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