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Introduction

The AI Vision tool in Klyra AI allows you to interact with your images in a completely new way. By combining advanced computer vision with conversational AI, you can upload an image and ask natural-language questions about it. Whether you need to identify objects, analyze visual patterns, extract semantic meaning, or simply describe what’s happening in an image, AI Vision provides fast, accurate results. All interactions are saved automatically and can be exported for reference.
This feature is available only with a paid subscription plan.

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How to Use

🔎 Navigation: Dashboard → Left Panel → AI Images & Editing → AI Vision
This opens the AI Vision workspace in the main area.
1

Upload your image

  • Drag & Drop your image into the upload area,
    or click Browse to select a file from your device.
  • Supported formats: JPG, PNG, and other common image files.
2

Select an AI Model

  • Choose from the list of AI Vision models available in your subscription.
  • Different models may have unique strengths (e.g., object recognition, contextual understanding).
3

Enter your prompt

  • Type a natural-language question or request about the uploaded image.
  • Example prompts:
    • “What objects do you see in this image?”
    • “Can you identify the fruits and vegetables in this market?”
    • “How many market stalls do you estimate are present?”
Click Send to start interacting with AI Vision.Klyra AI Vision Web
4

Review and export results

  • Your interaction history is saved automatically for future reference.
  • You can export the conversation as:
    • Text File (.txt)
    • MS Word (.docx)
    • PDF File (.pdf)

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💡 Tips

  • Use specific prompts to get precise answers. For example, instead of “What do you see?” ask “What type of car is in this image?”
  • For complex analysis, break your query into multiple smaller prompts.
  • Combine AI Vision with Knowledge Retrieval (via custom assistants) to link visual insights with your own files or data.
  • Export conversations regularly to build a visual insights library for your projects.

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📌 Example Use Cases

  • E-commerce: Analyze product photos to ensure images match descriptions.
  • Design Teams: Get semantic feedback on colors, themes, or style consistency.
  • Content Creators: Generate accurate captions or descriptions for social media posts.
  • Education & Research: Use AI Vision to label datasets, identify objects, or explain diagrams.
  • Accessibility: Provide alt-text for images to improve accessibility in digital content.
  • Security & Compliance: Detect sensitive content or confirm brand/logo usage in images.