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Automatically generate subtitles from scanned documents. Latenode combines OCR Space's text extraction with Captions' subtitle creation, offering affordable scaling and custom logic using JavaScript where needed.
Connect OCR Space and Captions in minutes with Latenode.
Create OCR Space to Captions workflow
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Create a New Scenario to Connect OCR Space and Captions
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 Captions will be your first step. To do this, click "Choose an app," find OCR Space or Captions, 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 Captions Node
Next, click the plus (+) icon on the OCR Space node, select Captions from the list of available apps, and choose the action you need from the list of nodes within Captions.
OCR Space
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Captions
Authenticate Captions
Now, click the Captions node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Captions settings. Authentication allows you to use Captions through Latenode.
Configure the OCR Space and Captions 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 Captions Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Captions
Trigger on Webhook
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OCR Space
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring OCR Space, Captions, 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 Captions integration works as expected. Depending on your setup, data should flow between OCR Space and Captions (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
OCR Space + Captions + Google Drive: Extracts text from an image using OCR Space, then generates video captions using Captions based on the extracted text. Finally, stores both the original image and the generated caption file in Google Drive.
YouTube + OCR Space + YouTube: When a new video is uploaded to YouTube, extracts subtitles using YouTube. Then, OCR Space converts the subtitles into text, identifies keywords, and updates video details on YouTube for SEO purposes.
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 Captions
Need accurate, automated captions for videos? Integrate Captions with Latenode to generate and sync subtitles across platforms. Automate video accessibility for marketing, training, or support. Latenode adds scheduling, file handling, and error control to Captions, making scalable captioning workflows simple and efficient.
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How can I connect my OCR Space account to Captions using Latenode?
To connect your OCR Space account to Captions on Latenode, follow these steps:
Can I automatically caption scanned documents using OCR Space and Captions?
Yes, you can! Latenode lets you create a workflow that extracts text from scanned documents using OCR Space, then uses Captions to generate subtitles. Automate it all without code, saving time and resources.
What types of tasks can I perform by integrating OCR Space with Captions?
Integrating OCR Space with Captions allows you to perform various tasks, including:
Can I process multiple OCR Space files at once with Latenode?
Yes, Latenode’s visual editor allows you to batch process files using OCR Space and then send the text to Captions for automated subtitling at scale.
Are there any limitations to the OCR Space and Captions integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: