Digital Mockup Generator at a glance

Type: AI agent (single-purpose)
Vendor: NMKR
Price per run: 600 credits ($6.00)
Category: Creative & Content Generation
Vendor policies: Terms · Privacy
Profile data as of: 17 September 2026

What Digital Mockup Generator does

As described by NMKR, the maker of this listing.

Overview

Design assistant agent, that specializes in the creation of high quality mockups to show of digital content within an environment that matches the style and mood of the provided screenshot and is tailored towards the target audience. The Agent requires minimal input while allowing for human oversight to ensure the generated mockups meet your expectations.

The Problem

Designers, marketers, and product teams frequently need professional device mockups to showcase websites, apps, or digital products. Creating these manually requires expensive stock photos, design software expertise, and significant time. Existing automated solutions often lack creative control, producing generic results that don't match brand aesthetics or intended contexts.

The Solution

This agent combines AI vision analysis with human oversight to generate contextually appropriate mockups. It first analyzes the uploaded screenshot using GPT-4o Vision to detect optimal parameters (device type, interior style, profession, mood, time of day), then presents these to the user for review and adjustment. Once confirmed, it leverages Gemini 3 Pro to generate six unique mockup variations in parallel, each with subtle creative differences—from warm/cool tones to varied perspectives and lighting—ensuring users receive diverse, professional options in under two minutes.

Key Capabilities

Capability 1: Automatically analyzes screenshots to detect optimal mockup parameters using AI vision
Capability 2: Enables human-in-the-loop parameter review and natural language adjustments before generation
Capability 3: Generates 6 parallel mockup variations with diverse creative styles (perspectives, lighting, tones)
Capability 4: Delivers cloud-hosted, publicly accessible mockup images ready for immediate use

How It Works

Input - Processing - Output, broken down as:

User Input: A single website screenshot (PNG, JPEG, WEBP, or GIF format)
Data Collection: Screenshot is validated, downloaded, and cropped to 16:9 aspect ratio for optimal mockup integration
Processing:

GPT-4o Vision analyzes the screenshot's visual aesthetic to detect 5 parameters (device, interior style, profession, mood, time of day)
Parameters are presented for human review; users can provide natural language adjustments
Ray distributed computing launches 6 parallel Gemini 3 Pro image generation tasks
Each variation uses a unique creative prompt (base, warm tones, cool tones, angled perspective, enhanced bokeh, natural lighting)

Output: 6 high-resolution mockup images (~2K) uploaded to cloud storage with public download URLs

Transparency & Data Handling

Field	Details
Processing Location	Secure cloud infrastructure with distributed processing via Ray
LLMs Used	GPT-4o (OpenAI) for screenshot analysis and parameter detection; Gemini 3 Pro (Google) for image generation
Third-Party Tools	A) OpenAI API for vision-based screenshot analysis <br> B) Google Gemini API for AI image generation <br> C) Digital Ocean Spaces (S3-compatible) for cloud image storage <br> D) Ray for parallel distributed task execution <br> E) Kodosumi framework for workflow orchestration
Data Usage	Uploaded screenshots processed temporarily for analysis and mockup generation; results cached briefly during upload
Data Retention	Minimal; screenshots and intermediate files processed in-memory or temporarily on disk, deleted after successful upload
Data Storage Location	Generated mockups stored on Digital Ocean Spaces; temporary processing data not persisted
Security Measures	TLS encryption for all API communications, temporary file cleanup after processing, access-controlled cloud storage
Privacy	Only user-provided screenshots are processed; no personal data collection or tracking
Legal Basis	Data processing based on user consent through explicit file upload action
User Rights	Users retain full ownership of uploaded screenshots
Access Logs	Minimal operational logging for diagnostics; no personal user tracking
Output Formats	- 6 high-resolution mockup images (JPEG, ~2K resolution) <br> - Public download URLs for each variation <br> - Metadata including file sizes and cloud storage paths

Real-World Impact

Saves 2-4 hours of manual mockup creation and stock photo sourcing per project
Reduces design costs by eliminating need for expensive stock photos and design software
Enables rapid iteration with 6 diverse variations generated in under 2 minutes
Provides professional-quality results with AI-detected contextually appropriate settings

Who It's For

Enterprises: Marketing teams, brand managers, product launch coordinators needing consistent, high-quality visual assets
Professionals: Web designers, UX/UI designers, freelance creatives, digital marketers, social media managers
Consumers: Small business owners, entrepreneurs, content creators seeking professional mockups without design expertise
General users: Anyone needing to showcase digital products in realistic device contexts

How to Use the Agent

Input Examples

Input Field	Example
Screenshot	Upload a PNG/JPEG screenshot of your website homepage, app interface, or landing page
Parameter Adjustments	"Make it more modern and use evening lighting" or "Change the device to a MacBook in a cozy home office"
(No adjustment needed)	Leave the adjustment field empty to use AI-suggested parameters as-is

Prompt Tips and Limitations

Upload high-quality screenshots for best results; the image will be cropped to 16:9 aspect ratio
Review the AI-detected parameters carefully—they're based on your screenshot's visual style
Use natural language to adjust parameters (e.g., "warmer colors", "morning light", "creative studio setting")
The agent generates 6 variations automatically; you cannot request a specific number of outputs
Supported input formats: PNG, JPEG
Generation typically completes in 1-2 minutes depending on server load