AI for Interior Design: Complete Guide for Designers in 2026

AI for interior design in 2026: photorealistic renders, moodboards, idea generation and variations in seconds. Practical guide for designers.

AI for Interior Design: Complete Guide for Designers in 2026
Author
Alexandre Kuhn
Co-founder and marketing director
Alexandre is currently the marketing director, but he previously worked as an architect specializing in BIM.
AI for Interior Design: Complete Guide for Designers in 2026
6 min
|
25.05.2026
Author
Alexandre Kuhn
Co-founder and marketing director
Alexandre is currently the marketing director, but he previously worked as an architect specializing in BIM.
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An interior designer's daily routine is a race against time. Client meeting in the morning, site visit at midday, and in the evening trying to finish that moodboard due tomorrow. On top of that, you still need to render 3 living room options, a kitchen, and the master suite. And the client wants to see "how it will look" before approving anything.

AI entered interior design to solve exactly that. Not to replace the designer's eye. To accelerate everything that gets stuck between the idea and the presentation.

What interior designers actually need from AI

Unlike architects focused on facades, structure, and site planning, interior designers live in the details. The exact leather tone of the sofa. The reflection of polished porcelain tile. The way a pendant light casts shadows on a plaster wall. If the render doesn't capture those details, it's useless.

That's why generic AI tools don't work for interiors. ChatGPT generates a pretty "modern living room," but the materials are invented, the lighting is generic, and the proportions don't match the project. You can't show that to a client and say "this is how it will look" when the AI swapped the porcelain for marble and added a window that doesn't exist.

Interior designers need AI that understands materiality, ambient lighting, and furniture scale. AI that takes the real project and renders it with the right textures, the right light, in the right proportions.

Interior rendering: from hours to seconds

Interior rendering is the hardest thing to get right with traditional software. Global illumination, reflections in glass and metal, light bounce in fabrics, transparency of curtains. In V-Ray, that means hours of configuration and rendering. In Lumion, results are fast but generic — that look of "almost real but not convincing."

With AI trained specifically for architecture and interior design, the situation changes. You upload a screenshot of your project modeled in SketchUp, Revit, or ArchiCAD and in 20 to 40 seconds you receive a render with convincing natural lighting, textures faithful to the project materials, and reflections that make sense in context.

Redraw was trained on millions of real interior images. The AI knows how polished porcelain tile reflects. It knows the difference between linen and velvet on a sofa. It knows how a recessed spot light creates a gradient different from natural window light. Those are the details that determine whether a render convinces or not.

And when the client looks and says "I want to see it with wood flooring instead of porcelain," that's 30 seconds to generate the variation. Not 2 hours reconfiguring materials.

Enhance Render: when you already have an image

Many designers already render with Lumion, Enscape, or even photos of the space under construction. The problem is that the result doesn't always reach the presentation level clients expect.

Redraw's Enhance Render was built for this. You upload any image (software render, photo of the space, even a Promob screenshot) and in 30 seconds the AI improves textures, corrects lighting, adds realism. That render that was "almost good" becomes professional. That raw construction photo becomes a presentation.

For interior designers, this feature alone justifies the tool. Because much of the work is taking what exists and elevating it. AI does that in seconds.

Before · render produced in conventional software

Interior render before Redraw's Enhance Render

After · render enhanced with Redraw AI

Interior render after Redraw's Enhance Render

Idea generation: when the client doesn't know what they want

Every designer knows this situation: the client sits down, says "I want something modern but cozy," and expects you to translate that into an image on the spot.

With AI, you can. In Redraw, idea generation works like visual brainstorming. Describe the concept ("living room with neutral palette, double ceiling height, warm lighting, japandi style"), and the AI generates options in seconds. These aren't final renders — they're starting points. Visual references you show the client, adjust the direction, then render with precision once the project is modeled.

It's automated moodboarding. Instead of spending 3 hours on Pinterest searching for images that "sort of" represent the idea, you generate exactly what you're envisioning. And if the client says "I like it but want more color," generate again in 30 seconds.

Visual moodboard with AI

Speaking of moodboards: the way designers present concepts to clients has changed. The classic moodboard (a collage of Pinterest photos with material samples) works, but has one problem. The photos are of other people's projects. They don't show how your client's project will look.

With AI, the moodboard becomes personalized. You generate images of the client's actual space with different styles, palettes, and atmospheres. The client sees their space rendered 5 different ways. Not a generic Pinterest living room. Their living room.

That changes the conversation. The client stops comparing with other people's photos and starts deciding about their own project. Approval comes faster because expectations are calibrated from the start.

Textures and lighting: where AI makes the difference

Interior design is about sensation. The feeling of a space comes from the combination of materials, light, and proportion. And that's exactly where generic AI fails and AI trained for interiors succeeds.

Redraw has its own models fed with millions of real interior images. Not renders, not generic AI images. Real photos and renders from executed projects. The AI learned how real materials behave:

How freijo wood reflects light differently from oak. How curtain fabric filters natural light creating a warm tone. How a mirror expands the space but changes the perception of depth. How Calacatta marble has veins that run in a specific direction.

Generic AI doesn't know this. It generates a generic "wood floor." Redraw generates materiality that a designer recognizes.

The complete designer workflow with AI

In practice, an interior designer can do everything inside Redraw:

1. Generate ideas with the client. In the first meeting, you describe the concept and generate visual options in real time. The client participates, gives feedback, and guides the direction. You leave the meeting with the concept approved.

2. Render the modeled project. When the 3D model is ready, take a screenshot and render in 30 seconds. With the materiality and lighting the project calls for.

3. Generate finish variations. Does the client want to see it with dark flooring? With granite countertop instead of quartz? With cooler lighting? 30 seconds per variation.

4. Enhance existing renders. Rendered in Lumion or Enscape and the result looks generic? Upload to Enhance Render and in 30 seconds gain realism.

5. Generate a video of the space. Want to show the space with movement? Redraw has its own video tool for interiors, plus Veo 3 and Kling AI. Turns a static render into a walkthrough.

6. Generate 3D objects. Need a specific light fixture, a vase, a piece of furniture not in your library? Generate it directly in Redraw and import into SketchUp.

One platform. The entire visual workflow of an interior designer solved.

Cost vs. savings

A designer who renders with traditional software spends on average:

Render license (Lumion/Enscape): R$ 3,500 to R$ 7,000/year
Adequate hardware: R$ 8,000 to R$ 20,000 (amortized ~R$ 5,000/year)
Hours in rendering and configuration: ~60 hours/month
Hours in moodboards and references: ~15 hours/month
Total: R$ 8,500+/year + 75 hours/month

With Redraw:

Basic plan: ~R$ 1,000/year
Hardware: the laptop you already have
Hours in rendering + ideas + variations: ~2 hours/month
Total: R$ 1,000/year + 2 hours/month

That's 73 hours a month returned to you. Almost 10 working days. Imagine what you do with 10 extra days a month: more projects, more clients, or simply less stress.

Frequently asked questions

What is the best AI for interior design?

Redraw is the benchmark for interiors in 2026. With models trained specifically for interior spaces, it understands materiality, ambient lighting, and furniture scale like no generic AI can.

Can AI render interiors with fidelity?

Yes, when trained for it. Redraw preserves textures, proportions, and lighting from the original project. Generic AI like ChatGPT invents materials and changes the geometry.

Can I use AI to create a moodboard?

Yes. In Redraw, idea generation creates personalized moodboards of the client's actual space, not collages of third-party photos. The client sees their own space in different styles.

Does AI for interiors work without a 3D model?

Yes. Idea generation works from a text description or reference image. Maximum-fidelity rendering uses a 3D model screenshot, but it's not required to get started.

Does Redraw capture the material details that matter in interiors?

Yes. The models were trained on millions of real interior images. The AI differentiates types of wood, fabric, stone, metal. It understands how each material reflects light differently.

Try Redraw → redraw.pro

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22.05.2026

AI Rendering: What It Is, How It Works, and Why to Use It in 2026

Alexandre Kuhn
5 min of reading

Until recently, rendering a project meant hours of setup, a freezing computer, and a hefty software bill. V-Ray, Lumion, Enscape, Corona. Tools that work, but that demand time, hardware, and technical knowledge most professionals simply don't have to spare.

AI rendering changed that. In 2026, an architect can generate a photorealistic render in 30 seconds, straight from a browser, without installing anything. And the result stays faithful to the project. It's not a generic image. It's your actual project rendered.

If you still don't fully understand how it works, what changes, and why you should consider it, this article explains everything.

What is AI rendering

AI rendering is the process of generating photorealistic images of projects using artificial intelligence models, instead of traditional render engines (ray tracing, path tracing, rasterization).

In traditional rendering, the software physically calculates how light interacts with every surface in the scene. Each reflection, each shadow, each light bounce is mathematically simulated. That demands raw processing power and takes time.

In AI rendering, the model already "knows" how architectural scenes look with natural lighting, with certain materials, under certain conditions. It was trained on millions of real images. So when you upload a screenshot of your 3D model, the AI doesn't calculate light pixel by pixel. It understands the scene's context and generates the image directly. That's why it takes seconds instead of hours.

The practical difference: you don't configure material by material, you don't manually adjust lighting, you don't need an expensive GPU. The AI does the heavy lifting.

How it works in practice

The workflow is simple. Simpler than any rendering software you've ever used.

Step 1: You model in whatever software you already use. SketchUp, Revit, ArchiCAD, Rhino, Vectorworks, Blender. Any of them.

Step 2: Take a screenshot of the model from the angle you want to render. That's it. No need to export a file, optimize the mesh, or install a plugin.

Step 3: Upload that image to an AI rendering platform. The AI analyzes the geometry, identifies materials by context, applies realistic lighting, and generates the render.

Step 4: In 20 to 40 seconds, you have a photorealistic render. Want a finish variation? Another 30 seconds. Night version? Another 30 seconds. Five different angles? Under 3 minutes.

No setup. No material configuration. No processing wait. Click and receive.

Why AI quality improved so much

Two years ago, AI rendering was experimental. The results were interesting but generic. Artificial textures, distorted geometry, invented elements. Nobody used it to present to clients.

What changed was model training. Specialized platforms like Redraw invested in training models with millions of real architectural project images. Not generic internet images. Real projects, with real materials, natural lighting, correct proportions.

The result is that the AI now understands what it sees. It knows that porcelain tile reflects differently from wood. It knows that natural light from a window creates gradients in the space. It knows that the proportions of a window frame matter. This level of understanding only exists in models trained specifically for architecture.

Generic AIs (ChatGPT, Gemini, Stable Diffusion) generate beautiful images but invent everything. They don't understand the project. They change proportions, add elements, ignore what you drew. For concept art, they work. For professional project rendering, they don't.

AI rendering vs traditional rendering

CriterionTraditional Render (V-Ray, Lumion, etc.)AI Rendering (Redraw)
Time per render20 min to 8 hours20 to 40 seconds
Setup time1 to 4 hours (materials, lighting, camera)Zero
Required hardwareDedicated GPU, 16–32 GB RAMAny PC with internet
Annual cost (software + hardware)R$ 5,000 to R$ 30,000+From R$ 1,000/year
Learning curveMonths to yearsMinutes
Maximum qualityExcellent (if you master the software)Excellent (AI trained for architecture)
Average delivered qualityMediocre (few truly master it)High (consistent results)
Quick variations30+ min each30 sec each
Works on a laptop?RarelyYes
Works on a phone?NoYes

That last comparison matters more than it seems. The maximum quality from traditional rendering is excellent, but very few professionals can extract it. It requires software mastery, powerful hardware, and hours of adjustment. In practice, most renders delivered with traditional software are mediocre.

With AI, quality is high from the very first render. Without configuring anything. That raises the floor for the entire market.

What you can do with AI rendering in 2026

Rendering a static image is just the beginning. Complete AI platforms for architecture offer an entire ecosystem:

Photorealistic rendering. The basic. A screenshot of the 3D model becomes a professional image in seconds. Facades, interiors, landscaping, aerial perspectives.

Enhance existing renders. Already have a render from Lumion, V-Ray, or Enscape that came out "almost good"? AI takes that image and in 30 seconds improves textures, lighting, and realism. No re-rendering in the original software.

Video generation. Turn a static render into a video with movement. Walkthroughs, fly-throughs, facade animations. Redraw has its own video tool for architecture and integrates Veo 3 and Kling AI.

3D object generation. Need furniture or vegetation that isn't in your library? AI models generate 3D objects you import directly into SketchUp.

Project variations. Want to show the client 3 finish options? With AI, that's 3 times 30 seconds. With traditional software, that's 3 times 2 hours.

How much AI rendering costs

Cost is one of the biggest advantages.

Redraw, the largest AI platform for architecture (200,000+ users), starts at $15/month. That includes around 300 renders, access to multiple optimized AIs, Enhance Render, video generation, and 3D objects. Works in the browser on any machine.

To compare with the traditional model: a Lumion Pro license costs $1,149/year. V-Ray Solo costs $540/year. Enscape Solo costs $575/year. And all of them require hardware costing between R$ 8,000 and R$ 25,000.

For $180/year (Redraw Basic), without extra hardware, a professional gets access to rendering that previously required an investment of R$ 15,000+ in the first year alone.

But does AI replace traditional rendering?

For 90% of what an architecture firm needs day to day, yes.

Client presentation? AI handles it. Facade study? AI handles it. Interior variations? AI handles it. Portfolio? AI handles it. Social media posts? AI handles it.

What traditional rendering still does that AI doesn't: highly complex animations with frame-by-frame control, projects where every sub-surface scattering detail matters, situations requiring absolute control of every physical light parameter.

That represents an ever-shrinking slice of a firm's real workload. And every month that slice gets smaller, because AI models keep improving.

How to get started

If you've never tried AI rendering, the most direct path is to create a free Redraw account. You get 10 credits with no credit card required. Upload a screenshot of your 3D model and see the result with your own eyes. The whole process takes less than 2 minutes.

If the result delivers (and in the experience of 200,000 professionals who've already tested it, it does), you've just saved thousands of dollars and hundreds of hours per year.

Before:

3D model before AI rendering

After:

AI render of the project

Frequently asked questions

What is AI rendering?

It's the process of generating photorealistic images of projects using trained artificial intelligence models, instead of traditional render engines that physically simulate light. The result comes out in seconds, without manual configuration and without special hardware.

How does AI rendering work for architecture?

You take a screenshot of your 3D model (SketchUp, Revit, ArchiCAD), upload it to a platform like Redraw, and the AI generates a photorealistic render in 20 to 40 seconds. The AI identifies materials, applies lighting, and maintains project fidelity automatically.

Is AI rendering better than V-Ray or Lumion?

For day-to-day firm work, yes. Quality is professional, time is incomparably shorter, and cost is a fraction. V-Ray and Lumion only maintain an advantage in scenarios requiring absolute technical control of every parameter.

Does AI rendering stay faithful to the project?

It depends on the tool. Generic AIs like ChatGPT invent elements and alter the project. Specialized platforms like Redraw were trained to respect the geometry, proportions, and materiality of the original project.

How much does AI rendering cost?

Redraw starts at $15/month with around 300 renders included. Free trial with 10 credits, no card required. Compare that with traditional software licenses costing $500 to $1,200/year plus hardware costing R$ 10,000+.

Do I need a powerful computer for AI rendering?

No. Platforms like Redraw run 100% in the cloud, through the browser. Any laptop, Mac, tablet, or even phone works. The processing happens on the servers, not on your machine.

Create a free Redraw account → redraw.pro

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22.05.2026

How to Prepare SketchUp for AI Rendering: Practical 3D Optimization Guide

Alexandre Kuhn
5 min of reading

The AI boom has brought a huge wave of professionals generating images with artificial intelligence. But most skip the most important step: preparing the 3D model before rendering.

The result? Mediocre renders. Blown-out textures. Pointless angles. And it is not the AI's fault.

In this guide you will see, in practice, how to optimize your 3D model in SketchUp to get the most out of AI rendering. And the best part: the same tips work for Revit, ArchiCAD, and Promob.

The problem: an unprepared 3D model produces bad renders

Look at this image. It is the typical screenshot taken from SketchUp with no attention to angle, lighting, or detail. Floating elements, off-scale textures. A classic scenario.

SketchUp model without preparation

Even using advanced AI rendering models like Redraw v4 Lumi, results with this type of image will not be good. No care was taken in preparing the model.

What is wrong with this image?

Wide, poorly positioned camera angle. Completely dark vegetation blocks that do not match the selected plants. Floor, table, and kitchen wall textures at the wrong scale — far from what will actually be built. Chairs with poor geometry and no textures.

This is the typical half-baked AI render. But there is a fix. With just 5 minutes of optimization, the result changes completely. Here is the process.

Optimization 01: general model clean-up

SketchUp after general clean-up

What was done here? Removal of bad blocks: dark vegetation, ugly chairs, and floating elements. New textures that make sense for the project, at the real scale. Floor replaced, wall replaced, table replaced. Everything as close as possible to the actual execution of the project.

It may seem like a small thing, but this clean-up alone drastically changes the AI result.

Optimization 02: camera adjustment

Camera adjustment in SketchUp

Adjust the camera to enhance the scene. Set the focal length to something between 30mm and 60mm, and frame the elements with intention. Think like a photographer: what do you want the client to notice first?

A good camera angle is the difference between a render that looks amateur and one that looks magazine-worthy.

Optimization 03: lighting adjustments in SketchUp

SketchUp lighting 1

SketchUp lighting 2

Enable Light & Shadow in SketchUp. Adjust the light and dark sliders for greater scene clarity, leaning the scene toward brighter values. This brings out the textures and helps the AI interpret each material better.

Optional: disable the "On Faces" option under SketchUp lighting.

SketchUp Edge Style 1

SketchUp Edge Style 2

Optional: go to View > Edge Style > disable Profiles. This option can improve texture definition in the scene. Test it in your case to see if it makes a difference.

SketchUp Ambient Occlusion 1

SketchUp Ambient Occlusion 2

Optional: go to View > Face Style > enable Ambient Occlusion (SketchUp 2024 or later). This gives the model a much more realistic look and greatly helps scene definition. It may make the project heavier and cause slowdowns, but it is worth enabling when generating the image and disabling afterward.

Bonus: two-point perspective

In photography and real life, the vertical lines of a building are never tilted. Follow that standard in your 3D model.

Inside SketchUp, go to Camera > enable Two-Point Perspective. This ensures verticals always stay straight, just like in a professional photograph.

Two-point perspective

Bonus: exterior scenes with sky and grass

For exterior images, use the Architecture & Landscape style in SketchUp. This adds sky and grass to the scene, giving context that the AI will use in the final render.

Before:

Exterior scene before

After:

Exterior scene after

What really makes a difference: the 80/20 rule

A lot of people ask: if I only have time for one thing, what should I do?

In our tests, the order of impact is:

  1. 3D blocks and textures
  2. Camera angle
  3. Lighting

AI models have advanced a lot and can now better interpret scenes with poor lighting. But quality 3D blocks and correct textures remain the biggest differentiators in AI rendering.

If you could only do one thing, focus on modeling. Invest in courses, good blocks, and quality libraries. And think of the 3D model as input for the AI. If, while modeling, you already consider how the AI will interpret each element, your final render results will be much better.

These tips are practical, but be sure to check out the Redraw YouTube channel, where we publish tutorials focused on helping you render with AI and extract the best results.

Frequently asked questions

Do I need a render plugin to use AI in SketchUp?

No. With Redraw, you take a screenshot of your 3D model directly in SketchUp and upload it to the platform. It works 100% in the browser — no installation required.

Do these tips work only for SketchUp?

No. The logic of optimizing textures, camera angle, and lighting applies to any 3D software: Revit, ArchiCAD, Promob, Blender. The principle is the same.

How long does it take to optimize a 3D model for AI rendering?

It depends on the model, but the optimizations in this guide take between 5 and 15 minutes. It is a small investment that completely changes the result.

Can a simple 3D model produce a good AI render?

Yes, as long as it is well prepared. Correctly scaled textures, clean blocks, and a good camera angle make more of a difference than an ultra-detailed but messy model.

Does AI automatically fix 3D model errors?

Partially. The AI can compensate for poor lighting and add missing elements, but off-scale textures and deformed blocks will compromise the result. The better the input, the better the output.

Create a free Redraw account → redraw.pro

Tips
21.05.2026

How to Choose Rendering Software for Architecture in 2026

Alexandre Kuhn
5 min of reading

Choosing rendering software in 2026 is different from choosing in 2023. Back then, the decision was between V-Ray, Lumion, or Enscape. Today, a third category has changed the game: AI rendering. If you are deciding right now which path to take, you need to understand the differences before spending money.

This article organizes the market into 3 categories, shows the real costs of each, and helps you decide based on your profile. No fluff.

The 3 rendering categories in 2026

The architecture rendering market has split into three worlds. Each with a different philosophy, different costs, and different results.

Category 1: Render Engines (traditional software with local GPU)

These are the softwares that dominated for decades. V-Ray, Corona Render, Lumion, Enscape, Twinmotion, D5 Render. Rendering happens on your machine, using your GPU or CPU.

How it works: you model in SketchUp, Revit, or ArchiCAD. Import into the rendering software (or use it as a plugin). Configure materials, lighting, camera, vegetation, people. Render. Wait. Adjust. Render again.

What they have in common: They require expensive hardware. An adequate machine costs between R$ 8,000 and R$ 30,000 depending on the software. Licenses range from US$ 360/year (D5 Render) to US$ 1,149/year (Lumion Pro). Rendering takes from 5 minutes to 8 hours depending on complexity. And all of them require a significant learning curve.

The fastest ones (Lumion, Enscape, Twinmotion, D5) deliver results in minutes but sacrifice quality. The renders look like a "game engine". Natural reflections are missing, lighting is simplified, materials look generic.

The highest-quality ones (V-Ray, Corona) deliver top-tier photorealism but take hours per image and require months of study to master. Most professionals using these softwares cannot extract maximum quality because they don't have time to configure everything correctly.

Real cost per year: R$ 5,000 to R$ 15,000 (software + amortized hardware).

Category 2: Render Farms (traditional cloud)

These are services like Fox Render Farm and GarageFarm. You upload your scene file and rendering happens on remote servers. Your machine stays free.

The problem: the workflow is the same as local rendering. You still configure everything manually. You still need to master the software. The only thing that changes is where the processing runs. In practice, a render farm adds complexity (upload, remote configuration, download) without eliminating any of the fundamental problems.

It charges by the hour of processing. Depending on the project, it can cost more than local rendering. It makes sense for those with extremely heavy scenes who need to free up their machine, but it doesn't solve the real bottleneck: setup time.

Real cost per year: variable, between R$ 2,000 and R$ 10,000+ depending on volume.

Category 3: AI Rendering (intelligent cloud)

This is where the market is heading. Instead of simulating light physics pixel by pixel, AI generates the image from understanding the scene context. It was trained on millions of real images and knows how architecture projects look when rendered.

How it works: you upload a screenshot of your 3D model. The AI identifies geometry, materials, and lighting. In 20 to 40 seconds, it delivers a photorealistic render. No configuration. No special hardware. Through the browser.

The fundamental difference: AI rendering eliminates setup. No material configuration. No lighting adjustment. No learning curve. The entire process, from click to result, takes less than 1 minute.

Real cost per year: from US$ 180/year (no extra hardware).

Full comparison table

CriteriaRender EngineRender FarmAI Rendering (Redraw)
Time per image (total)30 min to 8 hours15 min to 4 hours20 to 40 seconds
Setup time1 to 4 hours1 to 4 hours (same setup)Zero
Hardware requiredPowerful GPU/CPU (R$ 8k-30k)Any PC (upload/download)Any PC with internet
Annual cost (software)US$ 360 to US$ 1,149Variable (per hour)From US$ 180
Total annual cost (with hardware)US$ 800 to US$ 2,500+US$ 350 to US$ 1,800+~US$ 180
Learning curveMonths to yearsSame as render engineMinutes
Maximum qualityExcellent (if mastered)Same as render engineExcellent (AI trained for arch.)
Average quality deliveredMediocre (few master it)MediocreHigh (consistent)
Quick variations30+ min each15+ min each30 sec each
Works on laptop/mobile?No / NoPartially / NoYes / Yes
Video generationSome (Lumion, Twinmotion)NoYes (own model + Veo 3 + Kling)
3D object generationNoNoYes (for SketchUp)

Which one to choose? It depends on your profile.

Are you starting out in architecture or setting up a studio? AI rendering. No hardware investment, no months learning software, professional results from day one. Free trial on Redraw, no credit card required.

Do you already master V-Ray or Lumion and have your setup ready? Keep using it for projects that demand absolute control. But add AI rendering as a complement for quick variations and Enhance Render. The combination saves hours every week.

Do you need complex animations with frame-by-frame control? Traditional render engines still have the edge here. Lumion and Twinmotion for simpler animations, V-Ray for cinematic ones. But for presentation videos, AI already handles it with tools like Veo 3 and Kling integrated in Redraw.

Do you have extremely heavy scenes that crash any machine? A render farm solves the processing, but not the setup time. If the problem is your computer crashing, a render farm helps. If the problem is that it takes too long, AI rendering truly solves it.

Do you need to deliver fast and want zero complexity? AI rendering. Full stop. 30 seconds per image, unlimited variations, works on any machine.

Why the market is migrating to AI

It's not hype. It's math.

A 3-person studio with traditional software spends US$ 2,500+ per year on licenses and hardware. Spends 200+ hours per month on rendering and configuration. And most of the time, the result is mediocre because no one has time to configure everything perfectly.

The same studio with AI rendering spends ~US$ 540/year. Spends less than 1 hour per month on rendering. And the result is professional 100% of the time.

Traditional rendering had its time. It taught the market. But from 2026 onwards, maintaining a workflow that costs 5x more and delivers less became hard to justify.

Redraw is the platform leading this change. With proprietary AI models trained for architecture that outperform any generic AI, a hub of optimized AIs (ChatGPT, Gemini, Nano Banana), video generation, 3D objects, and Enhance Render. All for US$ 15/month.

Create a free Redraw account → redraw.pro