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

Add the GoCanvas Node
Select the GoCanvas node from the app selection panel on the right.

GoCanvas
Configure the GoCanvas
Click on the GoCanvas node to configure it. You can modify the GoCanvas URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the OpenAI Vision Node
Next, click the plus (+) icon on the GoCanvas node, select OpenAI Vision from the list of available apps, and choose the action you need from the list of nodes within OpenAI Vision.

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

JavaScript
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AI Anthropic Claude 3
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OpenAI Vision
Trigger on Webhook
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GoCanvas
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring GoCanvas, OpenAI Vision, 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 GoCanvas and OpenAI Vision integration works as expected. Depending on your setup, data should flow between GoCanvas and OpenAI Vision (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect GoCanvas and OpenAI Vision
GoCanvas + OpenAI Vision + Google Sheets: When a new submission is created in GoCanvas, extract relevant data from any attached images using OpenAI Vision. Store the extracted data in a Google Sheet for analysis.
GoCanvas + Slack + Google Sheets: Upon a new submission in GoCanvas, check it for hazard mentions. If found, save the data to Google Sheets and send a Slack message with details of the incident.
GoCanvas and OpenAI Vision integration alternatives
About GoCanvas
Use GoCanvas with Latenode to automate data capture from mobile forms into your workflows. Integrate field data directly into databases or CRMs. Trigger follow-up actions based on form submissions, like generating reports or sending notifications. Simplify field operations and improve data accuracy inside Latenode’s visual environment.
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About OpenAI Vision
Use OpenAI Vision in Latenode to automate image analysis tasks. Detect objects, read text, or classify images directly within your workflows. Integrate visual data with databases or trigger alerts based on image content. Latenode's visual editor and flexible integrations make it easy to add AI vision to any process. Scale automations without per-step pricing.
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See how Latenode works
FAQ GoCanvas and OpenAI Vision
How can I connect my GoCanvas account to OpenAI Vision using Latenode?
To connect your GoCanvas account to OpenAI Vision on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select GoCanvas and click on "Connect".
- Authenticate your GoCanvas and OpenAI Vision accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically extract data from scanned forms using AI?
Yes, you can! Latenode lets you automate this by combining GoCanvas forms with OpenAI Vision's image analysis, extracting key data with AI for efficient processing.
What types of tasks can I perform by integrating GoCanvas with OpenAI Vision?
Integrating GoCanvas with OpenAI Vision allows you to perform various tasks, including:
- Automatically verifying field worker compliance based on submitted images.
- Extracting text and data from hand-written forms uploaded via GoCanvas.
- Identifying equipment damage from photos submitted via mobile GoCanvas apps.
- Classifying incident reports based on analyzed images and GoCanvas form data.
- Creating AI-powered quality control workflows using GoCanvas forms and image analysis.
How securely does Latenode handle my GoCanvas and OpenAI Vision data?
Latenode employs robust encryption and secure data handling practices, ensuring your GoCanvas and OpenAI Vision data is always protected during processing.
Are there any limitations to the GoCanvas and OpenAI Vision integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large volumes of image processing via OpenAI Vision may incur higher processing costs.
- Accuracy depends on the quality of the images submitted through GoCanvas forms.
- Complex image analysis may require JavaScript knowledge for advanced customization.