Unify Logo Footer.svg
Unify Automations
Logo
Convert Image

Convert Image

Logo

2 mins READ

Convert Image transforms an image into the format required by downstream ML and automation pipeline steps. It is a self-contained utility — call it wherever a format mismatch would otherwise block the pipeline.

Overview

The Convert Image operation is a self-contained image processing utility within the Unify AI toolkit. It prepares image data in the format required by subsequent pipeline steps, decoupling the source format from what downstream nodes expect. Use it when your automation receives images in one format and a later step — such as a model inference call, an embedding operation, or a storage action — requires another.

Convert Image handles general format conversion. For face-specific ML work, use Extract Face Embeddings instead.

Screenshot 2026-08-27 at 17.26.56 1.png
Screenshot 2026-08-27 at 17.26.56 1.png

Input

Field

Type

Required

Description

Image

file

Yes

The source image to convert.

Target Format

string

Yes

The format to convert the image into, as required by downstream pipeline steps.

Output

Returns the converted image in the specified target format, ready for use by subsequent pipeline steps.

Notes

  • Convert Image is a self-contained utility — it does not call an external model or depend on other Unify AI operations.

  • Use it between steps when a format mismatch would otherwise block the pipeline.

  • For face-related processing — generating embeddings from detected faces — use Extract Face Embeddings instead.

  • Place Convert Image immediately before the step that requires the target format to keep the pipeline shape clean.

FAQs

Is Convert Image the same as Extract Face Embeddings?

No. Convert Image handles general image format conversion. Extract Face Embeddings is a different Unify AI operation that performs an ML step — detecting faces in an image and generating vector embeddings for each one.

When should I use Convert Image in a pipeline?

Use it when the image format produced by an earlier step does not match what a later step expects. It acts as a format adapter within the automation, without modifying any other aspect of the image data.