/install image-search
Image Search (Google Lens)
Identify anything from an image using Google Lens via SerpAPI.
Setup
Requires SERPAPI_KEY environment variable. Get a key at https://serpapi.com/ (100 free searches/month).
No pip dependencies needed — uses only Python stdlib (urllib, json, base64).
Usage
From CLI / Agent (exec tool)
# Search by image URL
python3 {baseDir}/scripts/lens_search.py "https://example.com/photo.jpg"
# Search by local file (auto-uploads to get a URL)
python3 {baseDir}/scripts/lens_search.py /path/to/image.png
# Refine with text query (e.g., find red version of a product)
python3 {baseDir}/scripts/lens_search.py "https://example.com/bag.jpg" --query "red"
# Product search (returns prices)
python3 {baseDir}/scripts/lens_search.py "https://example.com/sneakers.jpg" --type products
# Find exact matches (where this image appears online)
python3 {baseDir}/scripts/lens_search.py "https://example.com/photo.jpg" --type exact_matches
# Raw JSON output for programmatic use
python3 {baseDir}/scripts/lens_search.py "https://example.com/photo.jpg" --json
# Localized results (e.g., Japanese products with ¥ prices)
python3 {baseDir}/scripts/lens_search.py "https://example.com/laptop.jpg" --type products --country jp
Search Types
| Type | Use Case | Returns |
|---|---|---|
all (default) |
General identification | Entity name + visual matches + text |
visual_matches |
Find similar images | Visually similar results with sources |
exact_matches |
Find image origin | Pages containing this exact image |
products |
Shopping / price lookup | Products with prices and buy links |
about_this_image |
Image provenance | Metadata about the image's origin |
Output Format
The script outputs structured markdown:
## Identified Entity
- **Danny DeVito** — [link](https://...)
## Visual Matches (top 5)
- **Danny DeVito — Wikipedia** (Wikipedia) ✅ exact match
https://en.wikipedia.org/wiki/Danny_DeVito
- ...
Use --json for raw SerpAPI response when you need thumbnails, image dimensions, or other metadata.
Agent Decision Guide
When a user sends an image:
- Already identified by vision model? If the main model confidently recognizes the entity, skip reverse search.
- Uncertain identification? Run
lens_search.pyto verify. Compare model's guess with Lens results. - Need details beyond identification? First identify with Lens, then
web_searchfor deeper info. - Shopping intent? Use
--type productsto get prices and buy links directly. - Local file from user? The script handles local files by auto-uploading to get a searchable URL.
Combining with Other Tools
Typical multi-tool workflow:
1. User sends image → "What building is this?"
2. reverse_image_search → identifies "Cologne Cathedral"
3. web_search("Cologne Cathedral history architecture") → detailed info
4. Compose answer combining visual match + web knowledge
Limitations
- SerpAPI free tier: 100 searches/month. Paid plans from $50/month.
- Local file upload uses freeimage.host (free) or imgbb (needs IMGBB_API_KEY).
- Google Lens results vary by region; use
--countryfor localized results. - Some niche/long-tail entities may not return useful visual matches.
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install image-search - After installation, invoke the skill by name or use
/image-search - Provide required inputs per the skill's parameter spec and get structured output
What is Image Search?
Visual image search using Google Lens via SerpAPI. Identify objects, landmarks, products, plants, animals, artwork, logos, or any visual entity from an image... It is an AI Agent Skill for Claude Code / OpenClaw, with 529 downloads so far.
How do I install Image Search?
Run "/install image-search" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Image Search free?
Yes, Image Search is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Image Search support?
Image Search is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Image Search?
It is built and maintained by TobiasLee (@tobiaslee); the current version is v1.0.0.