MNKI
Summary
Getting a client-ready visual out of a napkin sketch used to mean firing up SketchUp, waiting on a render farm, or outsourcing to a visualizer with a two-day turnaround — MNKI collapses that to under 60 seconds in a browser tab.
Upload a hand sketch, floor plan, 3D wireframe, or raw photo, pick from 30+ architectural styles, and MNKI's dual AI engines — MNG (Google Gemini) and MNF (BFL/Flux) — return a 4K photorealistic render without any local installation. Inpainting lets you swap a wall finish or a piece of furniture without regenerating the whole scene, which saves the back-and-forth that kills client review cycles. The free tier ships 40 credits with no watermarks, so early validation costs nothing. The ceiling appears on complex, multi-room or multi-angle briefs: each render is a single-shot generation, and there is no API to pipe outputs into a larger pipeline or existing design tool. Teams that need batch processing or programmatic control will hit that wall fast.
Bottom line: Pick MNKI when you need a client-ready concept visual from a sketch before the end of a meeting — but plan a different workflow when the brief demands programmatic batch output or integration with tools outside the browser.
Pricing Plans
Subscription- Price
- $29/month
- Free Tier
- 40 credits, no watermarks
Free
40 credits, no watermarks
- 40 credits
- No watermarks
- Core features
Paid
Paid plans start at $29/month
- Higher credit limits
- Additional features
View full pricing on mnki.ai →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Under-60-second render time from sketch or floor plan upload, so concept visuals exist before a client meeting ends rather than two days after it.
- AI inpainting on selected regions, which means a single material change does not force a full regeneration and cuts the revision cycle from hours to seconds.
- 30+ architectural and interior styles in one library, so style exploration happens inside one session rather than across separate prompting tools with inconsistent outputs.
- Dual AI engine selection (MNG via Google Gemini, MNF via BFL/Flux), giving you a choice of generation model when one engine's output misses the brief.
- Free tier with 40 credits and no watermarks, which means proof-of-concept validation requires zero budget commitment before deciding whether the tool fits the workflow.
Cons
Sign in to edit- No API and no self-hosted option: any team that needs to trigger renders programmatically, batch-process a portfolio of units, or keep project data off third-party infrastructure hits a hard wall — the only path forward is switching to a tool that exposes an API or supports local deployment.
- Single-shot generation per scene: MNKI does not support multi-angle or multi-room outputs from one input session, so a full presentation set requires repeated manual uploads; at the scale of a full building project this becomes a bottleneck that negates the speed advantage.
- Credit-based output cap on the free tier means teams stress-testing the tool at any real project volume exhaust access before they can evaluate output consistency across styles — the evaluation process itself costs credits.
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About
- Platforms
- Web browser
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-07-21T12:17:26.944Z
Best For
Who it's for
- Architects presenting concepts from sketches
- Interior designers exploring styles and materials
- Real-estate professionals staging listings
- Students producing portfolio visuals
- AEC professionals needing fast visualizations
What it does well
- Convert hand sketches to client-ready renders
- Visualize 2D floor plans in 3D
- Generate style variations and material palettes
- Edit specific regions with inpainting
- Create mood boards for interior concepts
Discussion Community
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Frequently Asked Questions
- Is MNKI free?
- MNKI has a permanent free tier alongside paid upgrades (paid plans from $29/month). You can keep using a baseline version indefinitely without paying.
- Is MNKI open source?
- No — MNKI is a closed-source tool. Source code is not publicly available.
- What platforms does MNKI support?
- MNKI is available on: Web browser.
Hours Saved & ROI Stories Community
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Curated lists that include this category
Architectural visualization has always had a brutal gap between early-stage sketches and anything a client will take seriously. MNKI is a browser-based AI rendering studio that closes that gap: upload a hand sketch, 2D floor plan, 3D wireframe, white model, or raw photo; select a style from a library of 30+ options spanning Modern, Japandi, Brutalist, Parametric, Biophilic, and more; and receive a photorealistic render in under 60 seconds. The core workflow is four steps — upload, style-select, generate, refine — with 4K export at the end.
The feature that separates MNKI from basic text-to-image tools is targeted inpainting: select a specific region — a wall, a window frame, a piece of furniture — and regenerate only that area without touching the rest of the composition. Paired with mood board and material palette generation, this means a designer can iterate on material decisions and present coherent concept boards inside one session, without stitching outputs together from separate tools. The 2D-to-3D floor plan conversion adds a visualization layer that makes flat plans readable to non-technical clients.
MNKI fits well at the front end of a design process — concept presentations, client pitches, portfolio work, and listing visuals for real estate. It does not expose an API, and there is no self-hosted option, which means it cannot be embedded in a custom pipeline or accessed programmatically. Teams that need to generate renders in batch, trigger generation from their own software, or keep data off third-party servers will find those doors closed. At that point, the realistic next step is a tool with API access or a locally deployable alternative — MNKI is not that.