How to connect OCR Space and Amazon S3
Create a New Scenario to Connect OCR Space and Amazon S3
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 Amazon S3 will be your first step. To do this, click "Choose an app," find OCR Space or Amazon S3, 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.

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.
Add the Amazon S3 Node
Next, click the plus (+) icon on the OCR Space node, select Amazon S3 from the list of available apps, and choose the action you need from the list of nodes within Amazon S3.

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Authenticate Amazon S3
Now, click the Amazon S3 node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Amazon S3 settings. Authentication allows you to use Amazon S3 through Latenode.
Configure the OCR Space and Amazon S3 Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the OCR Space and Amazon S3 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring OCR Space, Amazon S3, 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 Amazon S3 integration works as expected. Depending on your setup, data should flow between OCR Space and Amazon S3 (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 Amazon S3
Amazon S3 + OCR Space + Google Sheets: When a new file is uploaded to an Amazon S3 bucket, the text is extracted from the file using OCR Space. The extracted text is then added as a new row to a specified Google Sheet.
Amazon S3 + OCR Space + Slack: When a new file is uploaded to an Amazon S3 bucket, the text is extracted using OCR Space. A summary of the extracted text is then sent to a specified Slack channel.
OCR Space and Amazon S3 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.
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About Amazon S3
Automate S3 file management within Latenode. Trigger flows on new uploads, automatically process stored data, and archive old files. Integrate S3 with your database, AI models, or other apps. Latenode simplifies complex S3 workflows with visual tools and code options for custom logic.
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FAQ OCR Space and Amazon S3
How can I connect my OCR Space account to Amazon S3 using Latenode?
To connect your OCR Space account to Amazon S3 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 Amazon S3 accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically process invoices and store them?
Yes, you can! Latenode allows automatic OCR processing of invoices and storage to Amazon S3. Automate this entire process for faster document management and improved accessibility.
What types of tasks can I perform by integrating OCR Space with Amazon S3?
Integrating OCR Space with Amazon S3 allows you to perform various tasks, including:
- Extracting text from scanned documents and storing them in Amazon S3.
- Automatically backing up OCR Space processed data to Amazon S3.
- Creating searchable archives of images using OCR and Amazon S3.
- Processing receipts and saving the data to Amazon S3 for accounting.
- Building automated data pipelines for OCR and cloud storage.
How does Latenode handle large volumes of OCR Space data?
Latenode scales automatically. It efficiently processes large OCR Space datasets with advanced queue management, ensuring reliable Amazon S3 uploads.
Are there any limitations to the OCR Space and Amazon S3 integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large files may take longer to process depending on the OCR Space API limits.
- Amazon S3 storage costs are separate and depend on your usage.
- Complex document layouts may require advanced OCR Space configuration.