A server streaming light into a monitor grid of generated images, one thumbnail outlined in cyan for review

Image Generation Service

Software & SaaS
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Software & SaaS

Image Generation Service

RemSoft.Dev implemented an automated image-generation workflow for a client product using GPT image capabilities through an API. The system converts structured requests into generation prompts, submits jobs, stores outputs and metadata, and supports review and regeneration without requiring users to work directly in ChatGPT. The integration was designed as a reusable application service rather than a one-off prompt script, allowing image creation to become part of the client's normal product workflow.

Generative AIAPI integrationImage generation

Key Challenges

Client: Product company

Integration: GPT image API

Delivery: Reusable application service

Stack: .NET, C#

The project faced several key challenges:

  • Images inside the product: Users request and receive images in the product's own workflow, without working directly in ChatGPT.
  • Repeatable results: Structured requests are converted into generation prompts, so every job starts from the same shape.
  • Built to last: A reusable service with stored outputs and metadata - not a one-off prompt script.

Results

  • Image creation inside the client's product
  • Structured requests converted to prompts
  • Outputs and metadata stored
  • Review and regeneration built in

In-product

image generation - no separate ChatGPT work for users.

1 service

reusable across the product, not a one-off script.

Built-in

review and regeneration of every output.

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