Ecommerce.Multimodal Recognize Image

Image Recognition

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.

Core Concepts

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 Guide

Tips for Writing the requirement Parameter

1. Be specific: Instead of "analyze this image," say "List all products visible on the shelf and estimate their category."
2. State the goal: If you need text extraction, say "Extract all visible text from the image." If you need object identification, say "Identify the main objects and their colors."
3. Provide context when helpful: For product images, mention "This is an e-commerce product listing image" so the model can tailor its analysis.

Usage Examples

1. General Image Description

• User says: "What is in this picture?"
• Set imageUrl to the provided URL, leave requirement as default.

2. Product Image Analysis

• User says: "Analyze this Amazon product image and list the key selling points shown."
• Set 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

• User says: "Read the text in this screenshot."
• Set requirement to: "Extract all visible text from this image, preserving layout where possible."

4. A+ Page Image Review

• User says: "Describe what this A+ content image communicates."
• Set requirement to: "This is an Amazon A+ product description image. Describe the visual content, key messaging, and branding elements."

5. Comparison / Detail Inspection

• User says: "What differences can you spot between the product and its packaging?"
• Set requirement to: "Identify and describe any differences between the product and its packaging shown in the image."

Usage

• API Endpoint: POST /multimodal/recognizeImage (see references/api.md for full parameters, responses, and error codes)
• Python Script: python scripts/multimodal_recognize_image.py '<JSON parameters>'

Output strategy (script default behavior):

• Prints the full JSON response to stdout

Data reading tip: Use jq or ConvertFrom-Json to extract specific fields from the response as needed.

Display Rules

1. Show the analysis result clearly: Present the returned text analysis in a readable format. Use bullet points or paragraphs as appropriate for the content.
2. No fabrication: Only relay information that the API actually returned. Do not add visual details that were not in the response.
3. Format support: If the image URL is invalid or the format is unsupported, explain the limitation and list the supported formats (JPG, JPEG, PNG, GIF, WebP, BMP).
4. Error handling: When the API returns an error status, explain the issue based on the response and suggest corrective actions (e.g., check that the URL is publicly accessible, verify the image format).
5. Cost transparency: If the user asks about cost, you may mention the costToken value from the response.

User Expression & Scenario Quick Reference

Applicable -- Image analysis tasks:

Not applicable -- Needs beyond image recognition:

• Generating or editing images
• Video analysis
• Image search or reverse image lookup

Authentication

Set NEXSCOPE_API_KEY. Visit https://www.nexscope.ai/help/skills-external-access?co-from=skillNS to manage credits.