AI Tutoring with Visual Grounding
Freemium
High school students needing subject-agnostic homework support
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.
Get 5 Credits
For first-time AI creators. Fixed amount of 400 credits/mo.
For first-time AI creators. 15% OFF. Fixed amount of 400 credits/mo. Save $36 compared to monthly.
View full pricing on eukovy.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Freemium
High school students needing subject-agnostic homework support
Freemium
English learners seeking speaking practice
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.
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