Eukovy
Summary
Staging a lookbook shoot only to realize the outfit reads wrong on camera — after wardrobe, lighting, and talent are already locked — is the kind of problem that turns a one-day shoot into a two-day budget conversation. Eukovy exists to let you swap the clothing in the photo after the fact, using either a reference image or a written description.
The workflow is a single-screen exchange: upload a person photo, add an outfit reference image or type a garment description, pick a quality tier, and receive a restyled image. The vendor describes three quality modes — Fast, Standard, and Studio — priced in credits per generation. Results preserve the source photo's background, pose, and facial details while replacing or layering garments. Edges around sleeves, collar lines, and accessories are the documented inspection points, which signals these are also where generation inconsistencies surface. There is no API and no self-hosted option, so every generation goes through Eukovy's servers.
Bottom line: Use this to prototype outfit directions before a shoot or produce quick style variants for e-commerce mockups — but expect to abandon it once your team needs batch processing, API access, or garment-level fidelity that holds across a full product catalog.
Pricing Plans
Subscription- Free Tier
- 5 Credits
Starter Monthly
400 credits/mo. ≈ 80 Fast Outfit Changer ≈ 40 Standard Outfit Changer
- Without watermark
- Standard Queue
- Studio Quality
- Commercial use license
- Standard Support
Starter Annual
400 credits/mo. 15% OFF. ≈ 80 Fast Outfit Changer ≈ 40 Standard Outfit Changer
- Without watermark
- Standard Queue
- Studio Quality
- Commercial use license
- Standard Support
View full pricing on eukovy.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Dual input mode — reference image plus written instruction — so you can lock a silhouette from a photo and then specify garment length or accessory swaps in text, rather than hunting for a reference that shows exactly the combination you want.
- Credit cost is displayed before generation commits, which means a team can audit spend per image instead of discovering overages at the end of a project.
- Three quality tiers (Fast, Standard, Studio) let you run low-credit drafts for direction checks and reserve higher-cost Studio runs for final previews, so you avoid paying for precision on exploratory iterations.
- The tool preserves background, pose, and facial features as described primary anchors, which means restyled images stay usable in their original scene context rather than requiring a full reshoot to match a new clothing direction.
- Browser-based with no installation means a stylist or creative director can review outfit variants without waiting on an engineering environment to be set up.
Cons
Sign in to edit- Garment edge accuracy around sleeves, hands, collar lines, and accessories requires manual inspection after every generation — the vendor's own workflow documentation flags these as failure-prone zones, which means output review is not optional and adds time to every iteration cycle.
- No API and no self-hosted option means a team that needs to process product catalog images at scale hits a wall immediately; every image must be submitted individually through the browser, and all source photos pass through Eukovy's servers — teams with data handling requirements or volume above what the credit system supports move to a competitor with an API or on-premises deployment.
- Free tier is capped at five credits, which is enough for a first test but not enough to establish reliable output quality across varied source photos; meaningful evaluation requires paid credits before a team can determine whether the tool fits their use case.
- Text prompt specificity is required — the vendor explicitly notes that broad requests like 'make this stylish' return less useful results than named garment types and attributes — which means non-technical users producing vague prompts will generate credits-wasting outputs until they learn the input format.
About
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-09-20T02:18:17.842Z
Best For
Who it's for
- Fashion photo editing
- Trying new looks virtually
- AI-assisted clothing design previews
What it does well
- Change clothes in photos
- Preview new styles with AI
- Generate outfit variations from references or text
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Sign Up to ContributeFrequently Asked Questions
- Is Eukovy free?
- Eukovy has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
- Is Eukovy open source?
- No — Eukovy is a closed-source tool. Source code is not publicly available.
Curated lists that include this category
Eukovy is a browser-based image editor that replaces or overlays clothing in an existing photo using a reference outfit image, a text prompt, or both. The core loop takes a source photo — ideally full-length with even lighting and unobstructed garments — pairs it with a styling direction, and returns a generated preview. Accepted formats are PNG, JPG, and WebP up to 10 MB. The generation costs credits, with free accounts starting at five credits; additional credits or higher-volume access are paid-only features.
The differentiating behavior the vendor describes is dual-mode guidance: a reference image communicates silhouette, color, and fabric texture from an existing outfit, while written instructions handle specifics the reference cannot show — garment length, layering order, accessories to keep or discard. The two inputs can be combined. The system is described as using the source photo to anchor identity and surroundings while the outfit reference or prompt drives the clothing layer.
This fits editorial previewing, personal styling exploration, and early-stage fashion design mockups where approximate fidelity is sufficient for a decision. It breaks at the boundary where precision matters: the vendor’s own documentation flags faces, hands, garment edges, and accessories as areas requiring manual review after each generation. There is no batch mode described, no API for pipeline integration, and no self-hosted deployment path — which puts a ceiling on how much volume a team can run and means every image exits the user’s infrastructure during processing.
The platform requires sign-in to generate, and credit cost is displayed before submission so teams can see the per-image cost before committing. Output review is built into the described workflow, with a slider comparison between original and restyled image for inspecting proportions and edge quality.