Upload one finished design
Use a sharp PNG, JPG, or WebP up to 20 MB. Crop away unnecessary blank space and keep small type large enough to inspect in the generated image.
Upload your artwork, choose a device, packaging, or apparel direction, and generate a presentation-ready mockup with editable scene instructions.
Choose a mockup type
Device · Packaging · Apparel — load a starter, then refine itUpload one finished design to unlock generation.

Mobile app screen on a studio phone

Coffee identity on a matte pouch

Graphic print on heavyweight cotton
An AI mockup generator uses your uploaded artwork as visual evidence, then synthesizes a product, device, material, camera angle, lighting, and shadow around it. It is especially useful when a fixed template does not match the scene you want to pitch.
A strong mockup starts with finished artwork and a narrowly defined physical presentation. Make one scene decision at a time, then inspect the generated result against the source before sharing it.
Use a sharp PNG, JPG, or WebP up to 20 MB. Crop away unnecessary blank space and keep small type large enough to inspect in the generated image.
Select a phone, laptop, carton, pouch, shirt, or tote starting point. The template loads a complete editable scene instruction into the prompt field.
Adjust the carrier, angle, material, background, lighting, and shadow in plain language. Keep preservation instructions when exact design details matter.
Choose an aspect ratio and resolution, generate one result, compare it with the source at full size, then download or revisit it in My Creations.
The generator exposes six focused starting points across three commercial families. Each is a prompt recipe, so you can change the scene in plain language instead of being locked to a single stock photograph.
Place a website, app screen, dashboard, or presentation on a phone or laptop. Use a source that already has its final crop and inspect every small line of interface text.
Preview a front-label or panel design on a carton or flexible pouch. Generated sides are conceptual, so never treat them as a production dieline or regulatory proof.
See artwork on a T-shirt or tote bag with fabric texture, folds, and light. Check placement, print scale, tiny gaps, and every repeated edge before approval.
These project-owned examples show the kind of finished commercial presentation the workflow can target. The starting settings are included so each direction is reproducible instead of being a decorative gallery image.

A controlled device angle gives a product team a polished launch visual while keeping the uploaded interface as the primary evidence.
Reproducible starting prompt
Modern phone, three-quarter front view, graphite desk, soft directional light, restrained glass reflection.
Phone screen · 1:1 · 2K · Opaque background

Subtle film texture, seams, and a grounded shadow turn flat label artwork into a credible packaging concept for a client review.
Reproducible starting prompt
Matte stand-up coffee pouch, warm stone surface, near-front view, softbox light, natural gusset and shadow.
Stand-up pouch · 4:3 · 2K · Opaque background

A front-facing garment and simple studio keep attention on print scale, fabric response, edge quality, and color contrast.
Reproducible starting prompt
Heavyweight cotton T-shirt, centered print, front view, visible knit, natural folds, soft gray studio.
T-shirt · 4:3 · 2K · Opaque background

Crisp paperboard folds and measured three-quarter perspective help teams assess a premium pack direction before production.
Reproducible starting prompt
Matte cosmetic carton, three-quarter hero angle, warm off-white background, softbox light, crisp folds.
Folding carton · 3:4 · 2K · Opaque background
Generative editing can reproduce an uploaded design closely, but it does not paste the source into a deterministic smart object. Compare every word, number, logo curve, small gap, border, color, alignment, and edge detail with the original at full size.
Perspective and material make the review harder. Fabric folds can bend letterforms, reflective screens can hide interface details, and carton corners can split a border or move a label. Use a simpler angle and softer material response when the artwork matters more than cinematic styling.
A generated package is a presentation concept, not a dieline or regulatory proof. A device scene is a marketing render, not a functional prototype. A shirt or tote image does not predict exact ink, fabric, fit, or print placement in production.
Choose an AI workflow when you want scene flexibility and a template workflow when repeatable placement or editable production assets matter more. This comparison uses public product descriptions and avoids invented quality scores.
| Decision | Banana Pro AI | Pixelcut | Mediamodifier |
|---|---|---|---|
| Workflow | One uploaded design plus an editable AI scene brief | Upload a logo, then describe the product in a prompt | Choose a fixed template, upload artwork, then adjust template controls |
| Mockup range | Prompt-led devices, packaging, apparel, and custom physical scenes | Prompt-led products such as shirts, totes, boxes, cups, and more | A large catalog of fixed device, product, packaging, and apparel templates |
| Best fit | Exploring a specific art-directed scene without finding a matching fixed template | Fast logo-on-product concepts inside a broader image tool suite | Repeatable placement with manual controls or downloadable template assets |
| Important tradeoff | Generative placement may alter text, logos, edges, scale, or object geometry | AI-generated placement still needs close design and product review | Fixed templates are more deterministic, while available controls and PSD access vary by template or plan |
Use a source you are allowed to process, understand the raster output, review the current credit cost, and clear every relevant right before a mockup enters a client deck, store, marketplace, or campaign.
Upload one PNG, JPG/JPEG, or WebP up to 20 MB. The generated result is a downloadable raster image, not a PSD, vector, smart object, layer stack, or print dieline.
Generation costs 20 credits at 1K, 40 credits at 2K, and 40 credits at 4K. The selected cost is visible before generation.
Sign-in and balance are checked at submission. Tracked tasks poll to a final state, successful results can be downloaded, and saved runs remain available in My Creations.
You must control the artwork, photography, trademarks, fonts, and client assets you upload. Commercial use follows your current plan and does not replace legal or marketplace review.
Failed tracked generations follow the existing settlement and refund flow. If a task fails or times out, keep its task identity and use the visible retry path rather than repeatedly submitting the same click.
Direct answers about source files, mockup categories, fidelity, raster output, credits, and responsible commercial use.
An AI mockup generator turns flat artwork into a new image of that design presented on a physical object or device. Instead of warping pixels into a fixed template, this workflow uses the uploaded artwork and a written scene brief to generate the carrier, perspective, material, lighting, and shadow together.
The workbench includes prompt starters for phone and laptop screens, folding cartons, stand-up pouches, T-shirts, and tote bags. You can edit the prompt to describe another plausible product or scene, but every output remains generative and should be reviewed.
Upload one PNG, JPG/JPEG, or WebP file up to 20 MB. A tightly cropped, high-resolution source with clear edges and readable type gives the model better evidence than a small design surrounded by blank space.
Exact reproduction is not guaranteed. The model can change letters, logo geometry, thin lines, colors, spacing, border art, screen details, or placement while synthesizing perspective and material. Compare the output with the source at full size before publishing or presenting it as approved artwork.
No. The result is a generated raster image, not a PSD, smart object, vector file, dieline, print-ready package, or editable layer stack. Use a dedicated template or production design tool when you need deterministic placement or manufacturing files.
A 1K mockup costs 20 credits. A 2K mockup costs 40 credits, and a 4K mockup costs 40 credits. The workbench shows the active cost before submission.
Commercial use depends on your current Banana Pro AI plan and the rights you hold in the uploaded artwork, trademarks, fonts, product appearance, and any client material. Review the current terms and destination marketplace rules before publishing.
Workflow and competitor statements were checked against current first-party product pages. Fidelity guidance is our synthesis from those visible capabilities and a live design-to-tote test.
Last reviewed: 2026-09-04. External products and terms can change; confirm current controls, plan access, licensing, and export options before choosing a production workflow.
Move from a flat design to supporting brand assets, product scenes, campaign layouts, and detailed edits without losing the purpose of the final mockup.
Upload one finished design, choose a focused physical scene, and inspect the result before it enters a pitch, listing, or campaign.
Create a mockup