OCR Space and Google Dialogflow ES Integration

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Automate document processing: use OCR Space to extract text, then route it to Google Dialogflow ES for intelligent chatbot responses. Latenode's visual editor and affordable pay-by-execution pricing make this complex automation easy and scalable, even with custom logic.

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OCR Space

Google Dialogflow ES

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect OCR Space and Google Dialogflow ES

Create a New Scenario to Connect OCR Space and Google Dialogflow ES

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 Google Dialogflow ES will be your first step. To do this, click "Choose an app," find OCR Space or Google Dialogflow ES, 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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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.

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OCR Space

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Run node once

Add the Google Dialogflow ES Node

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

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Google Dialogflow ES

Authenticate Google Dialogflow ES

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

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OCR Space

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

OCR Space + Google Dialogflow ES + Google Sheets: When a new image is uploaded, OCR Space extracts the text. This text is then sent to Google Dialogflow ES to detect the intent. Finally, the extracted text and intent are recorded in a new row in Google Sheets.

Slack + OCR Space + Google Dialogflow ES: When a new file (image) is uploaded to Slack, OCR Space extracts the text. This text is sent to Google Dialogflow ES to detect the user's intent. The intent and a summary of the extracted text are then sent back to Slack as a direct message.

OCR Space and Google Dialogflow ES 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 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.

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FAQ OCR Space and Google Dialogflow ES

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

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

Can I automate invoice data extraction and processing?

Yes, you can. Latenode lets you extract invoice data using OCR Space and then use Google Dialogflow ES to categorize and route the data. This automates accounting workflows, saving time and reducing manual errors.

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

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

  • Automatically categorize scanned documents based on content analysis.
  • Process customer feedback from image uploads via a chatbot.
  • Extract data from images and update your database automatically.
  • Create an automated system for processing scanned forms.
  • Build a virtual assistant that understands image-based requests.

How does Latenode improve OCR Space processing speed?

Latenode allows parallel processing of multiple OCR Space requests, dramatically increasing throughput. Plus, leverage serverless scaling to handle peak loads efficiently.

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

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

  • Complex image layouts might require advanced OCR Space configurations.
  • Google Dialogflow ES has API usage limits depending on your plan.
  • The integration relies on the accuracy of both OCR Space and Google Dialogflow ES.

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