STEP 1
Select Vectorizer AI in workflow
Pick Vectorizer AI app in the workflow builder [4] - just one click to select the app.
Vectorizer AI Integration
Converts raster images into clean, scalable vector artwork via AI. Automate Vectorizer AI deploys, issues, and webhook events across engineering workflows. When Make an API Call fires, automatically update documentation, notify a team, or continue with Vectorize an Image.
3-day trialCancel anytimeUp to 10 minutes quick set up
- GDPR
- Data Encryption
- 2FA
- Local Data Region
Supported triggers and actions for Vectorizer AI integration
Triggers can detect changes in Vectorizer AI and run actions that can create, search or modify data inside Vectorizer AI automatically [3] — exactly how you set them.
- Make an API CallPerforms an arbitrary authorized API call.
- Vectorize an ImageCreates a vectorized version of the provided image.
How to integrate Vectorizer AI in automation workflow?
3 simple steps to make your Vectorizer AI connected with other apps in automation workflows on WEXTL. Up to 10 minutes integration set up.
STEP 2
Connect Vectorizer AI
When prompted, authorize access to Vectorizer AI in WEXTL once. Vectorizer AI credentials are encrypted and never shared with WEXTL. Authorization will be reused in any future API calls [3].
WEXTL wants to integrate with your Vectorizer AI account. Approve?
STEP 3
Build a workflow
Build your workflow with Vectorizer AI yourself or with WEXTL® AI Builder. Connect Vectorizer AI to any available integrations [5], or use HTTP node to go beyond them.
Vectorizer AI
How Vectorizer AI connects and integrates with WEXTL
Save and approve your credentials once — WEXTL® stores authorization information encrypted and reuses the authentication whenever Vectorizer AI app is called in workflows. That allows your developer tools automations to run without your attention, per defined schedule [7]. Explore documentation [6] for a detailed list of fields that Vectorizer AI supports.
The following table illustrates what fields Vectorizer AI integration require during authorization flow inside our workflow builder [4].
Connect Vectorizer AI
App ID*Text
••••••••
App Secret*Text
••••••••
Demonstration of Vectorizer AI connection step inside WEXTL Workflow Builder [4].
| Field | Type | Help |
|---|---|---|
App IDRequired | text | — |
App SecretRequired | password | You can obtain Vectorizer API Credentials at Account Settings Page. |
Connect Vectorizer AI to popular apps on WEXTL
Enter a name of the other app you want to sync with Vectorizer AI below. Click on selected app to explore integration options with Vectorizer AI. If the app you search for is not available in WEXTL yet, you can use HTTP node [10] instead to integrate it directly.
Example automation with Vectorizer AI integration
Select Vectorize an Image action from Vectorizer AI - this will be a starting point in your automation. Whenever event happens in Vectorizer AI, workflow will start [7] from Vectorize an Image node.
Search for Make an API Call, connect it as the next step of integration sequence. You can use filters between Vectorize an Image and Make an API Call, so only important data pass from Vectorize an Image to the next step. WEXTL gives you full control over the process of Vectorizer AI automation. All parts of workflow are visible on the canvas [4].
Vectorizer AI on WEXTL has 2 modules for creating developer tools automations. Explore Vectorizer AI documentation for more.
Video slide demonstrates how Vectorize an Image and Make an API Call [6] nodes are used in Vectorizer AI workflow.
Frequently asked questions
Common questions about automating Vectorizer AI in your workflows.
Vectorizer AI has no triggers, but it provides 2 actions including "Make an API Call" and "Vectorize an Image". Pair them with triggers from other apps to automate Vectorizer AI tasks.
Integration has 2 actions, including "Make an API Call" and "Vectorize an Image". Refer to our Vectorizer AI Documentation for detailed inputs and outputs.
No. Most automations are built visually on the canvas by picking triggers, actions, and mapping fields. You can add custom JavaScript with Functions when advanced logic is needed — but our customers do that in rare cases [4].
Yes. Connections are authenticated per account, credentials are encrypted at rest, and you can enforce approvals and team-level access controls on any automation.
The Vectorizer AI integration on WEXTL runs directly on its vendor public API — every field name, authentication method, and rate limit is controlled by Vectorizer AI official API and covered in documentation [3]. WEXTL handles the request signing and pagination for you.
Absolutely. Where Vectorizer AI provides native webhooks, you can use instant triggers to eliminate polling delay. For custom webhooks, WEXTL offers Custom Webhook node, so you can start automation whenever Vectorizer AI or any other service sends event to webhook URL.
WEXTL is an AI-first visual canvas. The platform allows you to describe automation in plain text — and AI will wire nodes for Vectorizer AI inside the workflow builder [4]. You can also use built-in workflow nodes (AI Agent, Human in the Loop, Condition, Aggregate Results) in pair with Vectorizer AI modules to craft complex integration flows with branches, filtering, and conditional logic. There are absolutely no limits of what you can build.
References
List of sources used to gather information about the Vectorizer AI integration.
- Vectorizer AI integration source code, module specs and credentials implementation.
- Internal Vectorizer AI integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official Vectorizer AI vendor API documentation — used to verify field meanings, authentication flows, and anything our own specs don't fully capture.
- WEXTL® Visual Workflow Builder, anonymized data from our technical support team.
- WEXTL® Apps Library
- WEXTL® Vectorizer AI App Documentation
- WEXTL® Workflow Scheduler
- WEXTL® HTTP node documentation