Description

# How I Built an AI Image Merge Tool for Combining Two Photos into One Scene

Combining two images sounds simple, but the result often looks like a collage.

The subjects may have different lighting, perspective, scale, shadows, and color temperature. Even when both images look good individually, the combined image may not feel like one real photograph.

That is the problem I wanted to solve with [AI Image Merge](https://aiimagemerge.com).

## What AI Image Merge does

AI Image Merge takes two source images and creates one coherent AI-generated composition.

You can use it to:

- Put two people into one shared moment
- Place a product into a lifestyle scene
- Furnish an empty room using a reference image
- Create a travel portrait
- Try accessories on a person
- Mix subjects, colors, and visual styles creatively

The workflow is intentionally focused:

1. Upload two JPG, PNG, or WebP images
2. Choose a merge direction
3. Add an optional prompt
4. Select an output ratio
5. Generate and download the result as a PNG

Each image can be up to 10 MB.

## Merge presets

The tool currently includes five presets:

- **Natural** — creates a balanced, realistic composition
- **People** — places people from two photos into one scene
- **Product** — moves a product into a new environment
- **Room** — turns an empty room into a furnished interior
- **Creative** — combines the strongest visual elements from both images

The presets provide structured prompts, while the user can still add a custom instruction such as:

> Place the person from image one in the cafe from image two.

## The important part: image consistency

The main challenge is not simply sending two images to an AI model.

The output needs to preserve important details from both sources while matching:

- Lighting direction
- Perspective
- Subject scale
- Posture and eye line
- Contact shadows
- Depth of field
- Color temperature
- Background depth
- Product shape, material, logo, and visible text

The application builds these requirements into the preset prompts so users do not have to write a detailed prompt every time.

## Technical architecture

The application is built with Next.js and TypeScript.

The image merge flow is asynchronous:

1. The browser requests upload URLs
2. Images are uploaded directly to object storage
3. The server creates a merge task
4. Credits are reserved
5. The task is sent to the configured AI provider
6. The client polls the persisted task status
7. The generated image becomes available for preview and download

The provider layer is kept separate from the product workflow. The project currently supports providers such as Kie, Replicate, Gemini, and Fal.

This makes it possible to change the model provider without changing the upload, credit, task, or download flow.

## Credits and downloads

New users receive three free 1K generations after signing up.

One credit creates one 1K image.

Free-credit downloads include a watermark. Paid generations can be downloaded without a watermark. The product supports both subscriptions and one-time credit packs.

## Why I built it

Many image tools are designed for generating a new image from text.

I wanted a smaller and more practical workflow: start with two images that already contain something important, then combine them into one believable result.

That makes the tool useful for:

- Personal portraits
- Product concept images
- Interior previews
- Marketing experiments
- Social content
- Creative references

You can try it here:

👉 [AI Image Merge](https://aiimagemerge.com)

I would love to see what kinds of images people create with it.