OCR Space and MySQL Integration

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Automatically extract text from documents using OCR Space and store it in MySQL for structured data analysis. Latenode's visual editor simplifies complex data pipelines and adds custom logic using JavaScript, while the pay-by-execution pricing keeps costs low as you scale.

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OCR Space

MySQL

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect OCR Space and MySQL

Create a New Scenario to Connect OCR Space and MySQL

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 MySQL will be your first step. To do this, click "Choose an app," find OCR Space or MySQL, 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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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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Add the MySQL Node

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

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Authenticate MySQL

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

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

Google Drive + OCR Space + MySQL: When a new file is added to a specific folder in Google Drive, it's processed by OCR Space to extract text. The extracted data is then inserted as a new row into a MySQL database.

OCR Space + MySQL + Slack: When an image is processed by OCR Space and converted into text, the extracted data is used to update a record in a MySQL database. If the update is not successful, a message is sent to a specific Slack channel to alert the team.

OCR Space and MySQL 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 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.

See how Latenode works

FAQ OCR Space and MySQL

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

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

Can I automatically archive scanned invoices to MySQL?

Yes, you can! Latenode's visual editor makes it easy to extract data from OCR Space and input it into MySQL, automatically archiving invoices and improving data accessibility.

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

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

  • Automatically backing up sensitive document data.
  • Creating searchable databases from scanned paperwork.
  • Populating MySQL databases with data from images.
  • Extracting and structuring data from receipts.
  • Building custom data pipelines for document analysis.

Can Latenode handle large volumes of documents via OCR Space?

Yes, Latenode’s architecture is designed for scalability, allowing you to process large document volumes efficiently. Use parallel processing for faster speeds.

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

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

  • Free OCR Space accounts may have usage restrictions.
  • Complex document layouts can affect OCR accuracy.
  • Very large datasets may require optimized MySQL setups.

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