Reverse Image Search

v1.0.0

Reverse image search (find image source, visually similar images). Use when user provides an image and wants to find its origin, similar images, or verify au...

1· 557· 1 versions· 0 current· 0 all-time· Updated 6h ago· MIT-0

Install

openclaw skills install reverse-image-search

Reverse Image Search

Find the source, similar images, or context for any image using reverse image search engines.

Setup

On first use, create a Python venv and install the dependency:

SKILL_DIR="$(dirname "SKILL.md")"
python3 -m venv "$SKILL_DIR/scripts/.venv"
"$SKILL_DIR/scripts/.venv/bin/pip" install -q PicImageSearch

Usage

SKILL_DIR="$(dirname "SKILL.md")"
"$SKILL_DIR/scripts/.venv/bin/python3" "$SKILL_DIR/scripts/search.py" "<image_url_or_path>" [engine] [limit]
  • image_url_or_path: HTTP(S) URL or local file path
  • engine: yandex (default, most reliable), google, bing, or all
  • limit: Max results per engine (default: 10)

Output is JSON with matched results including title, URL, thumbnail, and similarity when available.

Engine Selection

  • yandex — Best overall: most stable, good at finding exact matches and similar images
  • google — Good for well-known images, web pages, products
  • bing — Useful as supplementary source
  • all — Query all three engines in parallel

Typical Workflow

  1. User provides image (URL or file attachment)
  2. Run search with yandex first
  3. If results are insufficient, retry with all
  4. Summarize findings: source, context, similar images

Version tags

latestvk97d71eh5jzgymgttmq91yjwm182gy52