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ImageRework

ImageRework

Edit the photo. Keep what matters.

softwareAI Image GenerationAI image editorAI photo changerGenerative editing

What is ImageRework?

ImageRework is an AI image changer built for iterative photo edits. It lets users upload a photo, describe the desired change while specifying what must remain intact, compare the result with the original, and refine up to five marked areas without starting over.

SpecificationsAI-estimated

WatermarkPresent on free/credit-only downloads; removed on active PRO/STUDIO subscriptions
Failed edits0 credits
Pricing modelCredits + subscriptions (PRO, STUDIO)
Signup credits6
Max upload size10 MB
Marked refinement areasUp to 5
Supported upload formatsJPG, PNG, WEBP
Credits per successful edit3

Key Features of ImageRework

Whole-image changes from natural-language instructions
Before/after comparison on the same screen
Numbered markers for refining up to 5 problem areas
Connected version history with parent and child results
Preservation-oriented prompts: users can specify what must stay unchanged
Prompt draft persists in the browser during sign-in
Workflow examples: atmosphere/lighting, product art direction, object removal, image-to-image style

Use Cases for ImageRework

1

Change the scene, keep the product

Best for catalog shots and campaign variations. Users can inspect silhouette, hardware, labels, and shadows at full size.

2

Remove this, rebuild the surface

Best for cables, signs, boxes, reflections, and background clutter. The prompt should name the wall, floor, fabric, or landscape that should continue.

3

Keep the composition, change the style

Best for art direction. Preserve framing and placement, then specify medium, palette, texture, and light.

4

Atmosphere and lighting

Turn a quiet storefront into a cinematic night scene while keeping building, road, windows, and perspective recognizable.

How to use ImageRework?

1

Upload photo

Upload a clear JPG, PNG, or WEBP image under 10 MB. Keep the subject, product, or structure you want to preserve clearly visible.

2

Describe change

Write one main request and say what must stay: composition, camera angle, subject position, product geometry, identity, or lighting.

3

Compare before and after

Drag across the result to inspect both versions and check for broken labels, edges, faces, or objects.

4

Mark parts that need work

Add up to five numbered areas. Each marker can have its own instruction plus one overall note. The next successful result becomes a child version.

Pros & Cons of ImageRework

Pros

  • Designed around an iterative compare-and-refine workflow
  • Original is always shown next to the result for easy verification
  • Up to 5 marked areas allow targeted follow-up refinements
  • Version history keeps parent, child, and root results accessible
  • No credits charged for failed, timed-out, blocked, or duplicate edits
  • Transparent about limitations: not a strict mask-based editor
  • Provides realistic prompt examples instead of invented social proof

Cons

  • Free and credit-only downloads include a watermark and corner label
  • Markers are strong guidance but not pixel-perfect masks
  • Uploads limited to 10 MB and JPG, PNG, or WEBP only
  • Cannot add text, logos, or watermarks through the editor
  • Each successful edit costs 3 credits, limiting free exploration after the 6 signup credits
  • New product without established user reviews or usage evidence

Frequently Asked Questions

What is an AI image changer?

An AI image changer uses an uploaded picture as visual context and follows a written edit. It can change backgrounds, remove objects, alter lighting, change materials, or restyle a scene.

How is ImageRework different from a one-click filter?

A filter applies a fixed treatment. ImageRework reads a specific prompt, including details that should remain stable, and allows targeted refinement after the first result.

Can I change only one part of a photo?

Yes, with a limitation. Markers guide the model but are not strict pixel locks, so important details should be compared with the source.

How many credits does an edit use?

A successful whole-image edit or refinement uses 3 credits. New accounts receive 6 credits. Failed, timed-out, blocked, and duplicate requests use 0.

Is this a strict mask-based photo editor?

Not in the first release. Numbered areas are strong visual guidance for a generative refinement, not a hard Photoshop-style mask.

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About the Product

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Platforms
Target AudiencePhotographers, e-commerce sellers, product marketers, designers, art directors, and creators who want fast AI photo edits with control over what is preserved.

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Tags

AI image editorAI photo changerGenerative editingObject removalImage-to-imageProduct photographyArt direction

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