Google Dialogflow ES and OCR Space Integration

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Automate data entry by using Google Dialogflow ES to capture voice commands and OCR Space to extract text from documents. With Latenode's visual editor and affordable pricing, you can build and scale this custom automation without writing extensive code, paying only for execution time.

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Google Dialogflow ES

OCR Space

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Dialogflow ES and OCR Space

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

Add the Google Dialogflow ES Node

Select the Google Dialogflow ES node from the app selection panel on the right.

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Google Dialogflow ES

Configure the Google Dialogflow ES

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

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Connect Google Dialogflow ES

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Run node once

Add the OCR Space Node

Next, click the plus (+) icon on the Google Dialogflow ES 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 Google Dialogflow ES 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 Google Dialogflow ES 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 Google Dialogflow ES, 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 Google Dialogflow ES and OCR Space integration works as expected. Depending on your setup, data should flow between Google Dialogflow ES 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 Google Dialogflow ES and OCR Space

Google Dialogflow ES + OCR Space + Google Sheets: When a user submits an image via Dialogflow, the image is sent to OCR Space to extract the text. The extracted text is then recorded in a new row in Google Sheets.

Gmail + OCR Space + Google Dialogflow ES: When a new email arrives with an attachment, OCR Space converts the attached invoice image into text. Google Dialogflow ES analyzes the text to answer customer queries about invoice data by detecting the intent from the extracted text.

Google Dialogflow ES and OCR Space integration alternatives

About Google Dialogflow ES

Use Google Dialogflow ES in Latenode to build smart chatbots and automate customer service tasks. Connect Dialogflow to your databases, CRMs, or other apps for personalized responses. Create visual workflows that handle complex conversations without code, adding custom logic with JavaScript where needed. Scale your AI-powered interactions using Latenode's flexible automation platform.

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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FAQ Google Dialogflow ES and OCR Space

How can I connect my Google Dialogflow ES account to OCR Space using Latenode?

To connect your Google Dialogflow ES account to OCR Space on Latenode, follow these steps:

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

Can I automate data extraction from images sent via chatbot?

Yes, you can! Latenode allows seamless integration, parsing image data from your bot using OCR Space and then using that data to inform your Google Dialogflow ES responses, streamlining user interactions.

What types of tasks can I perform by integrating Google Dialogflow ES with OCR Space?

Integrating Google Dialogflow ES with OCR Space allows you to perform various tasks, including:

  • Extracting text from images uploaded via a chatbot interface.
  • Automatically updating databases with information parsed from images.
  • Validating user-submitted documents through conversational AI flows.
  • Creating automated invoice processing systems accessible via chat.
  • Building custom OCR-powered search functionalities into your chatbot.

How do I handle large volumes of images in Google Dialogflow ES?

Latenode's scalable architecture lets you process many images. Use parallel processing and efficient error handling for reliable OCR results.

Are there any limitations to the Google Dialogflow ES and OCR Space integration on Latenode?

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

  • OCR Space's free tier has rate limits on API requests.
  • Complex or low-quality images may reduce OCR accuracy.
  • Google Dialogflow ES has limitations on intent complexity.

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