Compare a source image against multiple targets using deep-learning model to determine visual similarity. Ideal for e-commerce matching, copyright detection, and image deduplication. Accepts both URLs and Base64 encoded images to provide highly accurate similarity scoring.
Grayscale Mode (grayscale input): Optional boolean flag (default false) that converts all images to grayscale before computing embeddings. When enabled, the AI model ignores colour information and compares images based purely on shapes, textures, and structural patterns. Useful when lighting conditions, colour tints, or recolouring cause false negatives in standard (colour) mode.
Cache keys now include a grayscale suffix (:gs) to prevent cache poisoning between colour and grayscale runs of the same images.
Added threshold field to INPUT_SCHEMA.json for visibility in the Apify UI.
In-depth documentation in README explaining when to use and when to avoid grayscale mode.
[1.36] - 2026-08-19
Added
Initial release of the Image Comparator actor.
Support for 1-to-1 and 1-to-N image comparisons.
Compatibility with both image URLs and base64 encoded images.
AI-powered visual embeddings to generate similarity scores and match verdicts.
[1.35] - 2026-08-19
Added
Feature: automatic proxy IP rotation on 403 retries and specialized browser image headers
