Roboflow Integration

The Roboflow Integration allows your app to use Roboflow to run and deploy computer vision models without complex infrastructure. Once connected, you can use Roboflow to power image detection, object tracking, classification, and segmentation workflows.

With Roboflow, your app can:

• Run pre-trained computer vision models for detection, classification, or segmentation.
• Deploy and use custom-trained models built in Roboflow.
• Automate workflows that rely on visual inputs — e.g., quality checks, object detection, image analysis.
• Ingest and process images in real time.
• Combine vision outputs with other integrations (e.g., AI reasoning, automation flows).

1. Go to your Roboflow Account.
2. Navigate to Settings → API Keys.
3. Copy your Private API Key.

1. Go to Workflows and create a new workflow.
2. Set up the workflow you want to use in your app, ensuring that it takes an image as input.
3. Click the deploy button, select Images and then select Integrate with my app or website.
4. Copy the workspace_name and workflow_id from the provided code snippet.

1. Go to Integrations → Add Roboflow in your app settings.
2. Paste your Roboflow API Key, Workspace Name, and Workflow ID in the input fields.
3. Click Connect to validate and save your integration.

Once connected, your app can call Roboflow models directly from workflows, UI actions, or automated triggers.

• Keep your key secure: Never expose your Roboflow key in client-side code.
• Use environment-specific keys: Separate dev, staging, and production keys to control access.
• Model flexibility: Use community models or your own custom-trained models.
• Real-time vision: Ideal for applications involving cameras, inspection, monitoring, or visual AI.