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Vectorizer AI

Converts raster images into clean, scalable vector artwork via AI.

2 actionsPollingAuth: API key

AI-assisted documentation3 min read

This documentation is compiled from our integration source code, internal specs for Vectorizer AI, its official API documentation and anonymized requests logs we collect from our support team[2].

Open Vectorizer AI on WEXTL →

To use Vectorizer AI on WEXTL you need an active account and an API access token from your account settings.[3]

  1. Log in to your WEXTL account, add the Vectorizer AI node module to your workflow, and click Create new credential.
  2. Optional: In the Credential name field, enter a name for the credential.
  3. Enter the authentication credentials you copied from your Vectorizer AI account, or follow the on-screen instructions to create the credential.
  4. If prompted, authenticate your account and confirm access.
  5. If you want to make changes to your credential in the future, follow the steps in Manage credentials →

Notes

Credentials are org-scoped; share them with teammates from the Credentials picker on any of its nodes.For detailed information on connecting an application, see Connect an application →

The list below is a reference of every Vectorizer AI node module the integration supports. You will be able to pick any of them on the workflow canvas while building automations.

Open any Vectorizer AI node module below to inspect its input parameters, outputs, and connection requirements.

Make an API Calluniversal
Input fields[3]
FieldType
URLRequired
text
MethodRequired
choice
Headersarray
Keytext
Valuetext
Query Stringarray
Keytext
Valuetext
Bodytext
Output fields[3]
FieldType
Bodytext
Headersobject
Status codenumber
Vectorize an ImageAction
Input fields[3]
FieldType
File NameRequired
text
DataRequired
text
Is Test Mode?Required
boolean
Maximum Input Pixelsnumber
Maximum Colorsnumber
Palettetext
Output File Formatchoice
SVG Versionchoice
SVG Fixed Sizeboolean
Adobe Compatibility Modeboolean
DXF Compatibility Levelchoice
Bitmap Anti-Aliasing Modechoice
Draw Stylechoice
Shape Stackingchoice
Group Bychoice
Flatten Parameterized Shapesboolean
Allow Quadratic Bézier Curvesboolean
Allow Cubic Bézier Curvesboolean
Allow Circular Arcsboolean
Allow Elliptical Arcsboolean
18other input fields
Output fields[3]
FieldType
File nametext
Datatext

Look for Vectorizer AI templates in the WEXTL template library.

Browse templates →
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  2. AssemblyAISpeech AI APIs for transcription, understanding, and voice-powered applications.
  3. Azure StorageManage containers and blobs in Azure Blob Storage.
  4. ClerkAuthentication and user management with sign-in, sign-up, and MFA.
  5. AWS LambdaServerless compute that runs your code without managing servers.
More apps in Developer Tools category →
  1. WEXTL® Vectorizer AI Source Code connector implementation.
  2. Our users use cases and automations.
  3. Official API Documentation for Vectorizer AI.
  4. WEXTL® visual workflow builder data.

Last updated: Jul 24, 2026 18:13

How we write our apps documentation

How we compile these docs — sources, AI's role, and how we verify.