Analyze and extract information from images using multimodal AI recognition. Triggered when users want to analyze, describe, or extract information from an image URL — image recognition, image analysis, image description, visual content understanding, OCR text recognition, or visual Q&A. When a user provides an image URL and asks questions about its visual content, this skill should be triggered even if they do not explicitly say "image recognition."
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This skill guides you on how to use the multimodal image recognition API to analyze images from URLs and extract meaningful information based on user intent.
The Image Recognition tool accepts an image URL and an optional natural-language requirement describing what the user wants to know about the image. The backend uses a multimodal AI model to interpret the visual content and return a textual description or analysis.
Supported formats: JPG, JPEG, PNG, GIF, WebP, BMP.
How it works: You provide a publicly accessible image URL and a requirement (what you want to learn from the image). The service downloads the image, runs multimodal analysis, and returns a text-based result.
| Parameter | Required | Description |
|---|---|---|
| imageUrl | Yes | A publicly accessible URL pointing to the image. Must be JPG, JPEG, PNG, GIF, WebP, or BMP. Maximum 1000 characters. |
| requirement | No | A natural-language description of what to identify or analyze in the image. Defaults to "Describe the content of this image" when omitted. Maximum 1000 characters. |
1. General Image Description
imageUrl to the provided URL, leave requirement as default.2. Product Image Analysis
requirement to: "This is an Amazon product listing image. Identify the product, key features, and selling points visible in the image."3. Text Extraction from an Image
requirement to: "Extract all visible text from this image, preserving layout where possible."4. A+ Page Image Review
requirement to: "This is an Amazon A+ product description image. Describe the visual content, key messaging, and branding elements."5. Comparison / Detail Inspection
requirement to: "Identify and describe any differences between the product and its packaging shown in the image."POST /multimodal/recognizeImage (see references/api.md for full parameters, responses, and error codes)python scripts/multimodal_recognize_image.py '<JSON parameters>'Output strategy (script default behavior):
Data reading tip: Use jq or ConvertFrom-Json to extract specific fields from the response as needed.
costToken value from the response.Applicable -- Image analysis tasks:
| User Says | Scenario |
|---|---|
| "What's in this image/picture/photo" | General image description |
| "Analyze this product image" | Product visual analysis |
| "Read the text in this image" | OCR / text extraction |
| "Describe the A+ page images" | E-commerce content review |
| "What does this screenshot show" | Screenshot interpretation |
| "Identify objects in this photo" | Object detection / listing |
Not applicable -- Needs beyond image recognition:
Set NEXSCOPE_API_KEY. Visit https://www.nexscope.ai/help/skills-external-access?co-from=skillNS to manage credits.
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Analyze Amazon traffic gaps between an owned product and competitors using Nexscope keyword, traffic, listing and review evidence. Use for missing keyword coverage, organic-versus-paid traffic structure, variant-aware rank comparisons and evidence-based listing priorities. Produces a local HTML report; does not execute advertising changes.
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Find similar design-registration candidates from a product image using Nexscope. Use for image-based design patent candidate screening with region, jurisdiction, Locarno and legal-status filters. Returns evidence for review, never an infringement or freedom-to-operate verdict.
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Query 1688 product bestseller billboard data for sourcing discovery and wholesale product research. Trigger when the user mentions 1688 product rankings, 1688 bestseller lists, wholesale hot products, domestic sourcing rankings, dropshipping product selection, 1688 trending products, bulk purchase popular items, supplier product rankings, 1688 billboard, 1688 bestsellers, sourcing rankings, wholesale hot products, trending product rankings, supplier rankings, 1688 trends. Even if the user does not explicitly mention "1688 billboard", if their need involves discovering hot-selling wholesale products or sourcing opportunities on the 1688 platform, this skill should also be triggered.
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Query 1688 public product details through the Nexscope research proxy. Use when the user requests this public marketplace or patent data; do not use for seller-console or store-authorized operations.
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Search and analyze products on the Chinese 1688 wholesale platform (Alibaba domestic B2B market) for sourcing, supplier discovery, and product selection. Trigger when the user mentions 1688 product search, finding suppliers on 1688, wholesale product queries, factory sourcing, dropshipping supplier search, 1688 keyword product selection, wholesale price comparison, filtering by sales volume, any product research on the 1688 platform, 1688 search, 1688 product selection, find suppliers, factory lookup, wholesale pricing, supplier search, domestic sourcing, 1688 products. Even if the user does not explicitly say "1688", if their need involves searching for wholesale products, finding domestic suppliers, or sourcing from the domestic Chinese market, this skill should also be triggered.
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Perform image-based product search on the 1688 platform. Use an image URL to find visually similar supplier products, returning title, price, minimum order quantity, monthly sales, repurchase rate, trade score, and seller identity. Triggered when users mention 1688 image search, 1688 visual search, find supplier by image, reverse image search 1688, 1688 product sourcing by image, or Alibaba 1688 image search. Even if the user does not explicitly mention "image search," this skill should be triggered whenever a user provides an image URL and wants to find matching or similar products on the 1688 wholesale platform.
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