Sculpt Your Image Metadata with DBGallery’s AI-Powered Custom Prompts: 3 Major Use Cases
Introduction
Managing and tagging thousands of digital assets can be an overwhelming task. Whether you are a professional photographer, a marketing team, or an e-commerce business, ensuring your images have accurate and searchable metadata is crucial. DBGallery’s new custom AI prompt feature simplifies this process by allowing users to generate precise descriptions and relevant tags with just a few words.
How Custom AI Prompts Work
This innovative feature lets users enter their own prompts, guiding AI to create metadata tailored to their needs. Instead of relying on generic auto-tagging, DBGallery’s AI can produce industry-specific descriptions, thematic tags, creative captions, or even structured data based on the ability to enter a custom AI prompt. This level of customization enhances the efficiency, accuracy and value in digital asset management.
Use-cases for custom prompts
Three categories will be covered here:
- Great prompts asking for a general description.
- Request data in a required format. This might be to feed to other systems, such as an ERP for example.
- Generate tags only.
Use Case 1. General Descriptions: Examples of Custom Prompts in Action
A. E-commerce Product Listing
Prompt: “Generate a product description and SEO tags for this clothing item.”
Output: “A stylish blue denim jacket with a classic cut, perfect for casual or semi-formal wear. Tags: denim, blue, fashion, outerwear, trendy.”
B. Creative and Marketing Team Social Media Post
The AI can generate compelling product descriptions for branding and marketing campaigns.
Prompt: “Create an engaging social media caption and hashtags for this image.”
Output: “Make a statement with bold colors! 🎨 #CreativeDesign #Photography #BoldColors”
C. Professional Photography Archive
Prompt: “Describe this image in detail, including lighting, composition, and mood.”
Output: “A golden-hour landscape shot with warm lighting, dramatic shadows, and a serene lake reflecting the mountains.”
D. Real Estate Property Description
Prompt: “Provide a property description suitable for real estate listings, emphasizing key features.”
Output: “A modern 3-bedroom home with an open-concept kitchen, hardwood floors, and a spacious backyard, ideal for families.”
E. Personalized Search Enhancements
Generate context-aware asset descriptions based on user preferences.
Prompt: "Describe this image for an advertising agency looking for urban lifestyle visuals."
Output: "A dynamic and energetic city scene featuring a diverse group of young professionals walking through a bustling downtown district. The warm golden-hour lighting enhances the modern glass skyscrapers in the background, while street vendors and cyclists add to the vibrancy of the urban environment. The image conveys a sense of ambition, connection, and contemporary city life—ideal for advertising campaigns targeting young professionals, tech startups, or lifestyle brands."
Use Case 2. Structured data prompts
Sometimes the AI-generated data is used for more than just searching within DBGallery. Get more than just descriptions of an image, get valuable data that can be used in other systems...or possibly for special purposes within DBGallery, like structured searches.
Exporting data: Critical to this type of generated image data, DBGallery has a CSV data export capability. This allows structured description data to be exported for consumption by internal or 3rd party systems.
NOTE: Explore what can be outputted, tweaking the prompt as many times as needed. The custom prompt, and the resulting data, is extremely flexible. The output format and data possibilities is the same as can be returned from the latest and best AI's. As of March 2025, DBGallery uses ChatGPT o1-mini's API for generating descriptions.
While the number of use cases for this flexible capability is nearly endless, three scenarios are described here to provide food for thought on the possibilities.
Scenario 1: Structured data to feed to a 3rd-party system, such as an ERP system
Prompt: This is a fashion photo. Describe the type of material and major colors of the top and bottom clothes worn. Do so in 4 sentences, with a new line after each, in the format "Top Color: <colors>" "Top Material: <material>" "Bottom color: <colors>" "Bottom Material: <Material>.
Result (on the right):
Scenario 2: Auto-prepared Website Data
Prompt: "Provide a structured SEO-friendly metadata description, including a title, meta description, and alt text for this image. Provide it in html format. "
Result:
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Antibody Drug Conjugate Visualization</title>
<meta name="description" content="Detailed illustration of an antibody drug conjugate (ADC), showing the antibody, linker, and payload components in action against target cells. Perfect for educational and research purposes in biochemistry and pharmacology." />
</head>
<body>
<img src="path-to-your-image.jpg"
alt="Illustration of an Antibody Drug Conjugate (ADC) showing the Antibody, Linker, and Payload components interacting with a target cell" />
</body>
</html>scenario
Scenario 3: Identifying Damage in Inspection Images:
A property inspection company uses a Digital Asset Management (DAM) system to store images of buildings, vehicles, or equipment. The goal is to detect and tag damage based on predefined categories (e.g., cracks, rust, dents, leaks) while starting the output with a clear "Yes" or "No" regarding damage presence.
Prompt:
"Analyze this image and determine if damage is present based on the predefined list: [Crack, Rust, Dents, Water Damage, Mold, Scratches]. If damage exists, list detected types; otherwise, respond 'No damage detected.'"
Sample AI-Generated Output (With Damage):
Yes, damage detected.
Damage Types: Crack, Water Damage, Mold
Sample AI-Generated Output (No Damage):
No damage detected.
Use Case 3. Generate tags only
Similar to prompts for structured data output, here your company's unique objects are recognized and tagged within a set of tags provided in the prompt. It is like having a custom-trained AI for object recognition.
Scenario:
A manufacturing company stores images of its products in a DAM system. Each product has a predefined list of possible tags (e.g., part numbers, serial codes, material types). Instead of generating a full description, they need only the tags present in the image for accurate cataloging.
Prompt:
"Identify and extract only the tags from this image based on the predefined list: [Steel, Aluminum, Plastic, Part#1234, Part#5678, Serial#A001, Serial#B002]. Ignore any other text or objects."
Sample AI-Generated Output:
Tags detected: Steel, Part#1234, Serial#A001
The Value of Custom Prompts
- Saves time by automating metadata generation.
- Enhances searchability by ensuring consistent and relevant tags.
- Improves discoverability for businesses using AI-generated metadata for SEO and marketing.
- Increases flexibility by allowing metadata to be tailored to specific industries and use cases.
- Structured data can be used for a variety of business uses.
Try it today!
To test drive any of the above, click the Try it Free button at the top of this page for a 15-day trail. No credit card required. Just upload your images then use the custom prompt feature, which has easy to understand instructions in our Knowledge Base: Custom Prompts for AI-generated Descriptions. Be sure to experiment with all the possibilities for your business.
Conclusion
With DBGallery’s AI-powered custom prompts, managing digital assets has never been easier. Whether you need structured metadata to support business processes or creative captions for social media, this feature allows you to define exactly what you need.
