# Vaethat

2026-11-11에 검증된 OpenAITools.app 텔레메트리에 따르면, Vaethat(vaethat.com)은(는) AI 이미지 향상 도구에 색인된 AI 플랫폼으로 월 1.62만회 방문을 기록 중이며, 전월 대비 트래픽 변화량은 +9.52천(+141.6%)입니다. 주요 지리적 시장은 가나(트래픽 점유율 47.1%)이며, 무료 체험, 유료 가격 모델로 운영됩니다. 월간 트래픽 기준 주요 경쟁 대안으로는 Upscale.media (월 171.98만회 방문), MyArchitectAI (월 45.14만회 방문), ImgUpscaler AI (월 197.84만회 방문) 등이 있습니다.

Vaethat is an AI render enhancer built specifically for architectural visualization. Upload your 3D renders, choose 2x or 4x, and get denoised, sharper images that keep materials, lighting and design intent intact — with batch processing, region-based enhancement and layered .psd export.

## 주요 텔레메트리 및 사양

| 지표 | 값 |
| :--- | :--- |
| 도구 이름 | Vaethat |
| 핸들 | vaethat |
| Status | active |
| Origin | independent |
| Maintenance | active |
| 공식 도메인 | vaethat.com |
| 웹사이트 URL | https://www.vaethat.com |
| 카테고리 | AI 이미지 향상 도구, AI 이미지 업스케일러, AI 인테리어 디자인, AI 그래픽 디자인 |
| 가격 모델 | 무료 체험, 유료 |
| 월간 방문 수 | 16,233 |
| 전월 대비 트래픽 변화 | 9,515 |
| 전월 대비 성장률 | +141.6% |
| 주요 시장 | 가나 |
| 시장 점유율 | 47.1% |
| 직접 방문 | 6,291 |
| 자연 검색 방문 | — |
| 소셜 방문 | — |
| 추천 방문 | 1,578 |
| 이메일 방문 | 829 |
| 리뷰 점수 | 4.3 |
| 저장 수 | 0 |
| 지원 플랫폼 | 웹사이트 |
| 결제 플랫폼 |  |
| 속성 | 기능: 웹사이트 |
| 태그 | AI 렌더 강화, 아키비즈 AI, 건축 시각화 AI, 3D 렌더 업스케일, 건축 AI 이미지 업스케일, 렌더 강화, 아키비즈 업스케일러, AI 노이즈 제거, 3D 시각화 강화, AI 렌더 업스케일, 렌더 품질 향상, 후반 작업 |

## 개요

Vaethat is an AI render enhancer built specifically for architectural visualization. Upload your 3D renders, choose 2x or 4x, and get denoised, sharper images that keep materials, lighting and design intent intact — with batch processing, region-based enhancement and layered .psd export.

## 가격 및 요금제

Credit-based monthly subscription. Basic €12/month (200 credits, up to 4K), Professional €29/month (500 credits), Business €49/month (1000 credits), plus Enterprise tiers with custom credit allocation and an enterprise API. No free trial; unused credits roll over up to plan caps; prices exclude VAT; cancel anytime.

## 주요 기능 및 역량

- **Specialized archviz enhancement model:** AI trained specifically on architectural visualization renders rather than generic photography, tuned to keep materials, textures, decals and lighting faithful to your original design.
- **Batch multi-image workspace:** Drop a whole folder of renders into one canvas, enhance them in parallel with the same mode and resolution, and save sessions so a full project is processed side by side instead of one by one.
- **Region and subject enhancement:** Draw a selection to enhance only a focal point — a face, a fixture, a façade detail — and use dedicated handling for people, exteriors, interiors and vegetation to blend subjects naturally into the scene.
- **Layered .psd export:** Download results as layered Photoshop files with the original render as the base layer, so enhanced and untouched versions stay pixel-aligned for masking and blending.
- **Broad DCC compatibility:** Works with renders from V-Ray, Corona, Lumion, Twinmotion, D5 Render, 3ds Max, SketchUp, Cinema 4D, Unreal Engine, Octane, Arnold and KeyShot, and supports PNG, JPG and WEBP inputs.

## 주요 활용 사례

- **Rescue noisy client-ready renders (Freelance 3D artist):** When a tight deadline leaves a render grainy or soft at print resolution, upload it, pick 4x and deliver a clean, sharper image without rebuilding the scene or re-rendering overnight.
- **Batch-process a whole project (Archviz studio lead):** Load an entire project's worth of exterior and interior views into the multi-image workspace, apply one mode across the set, and keep the whole presentation visually consistent.
- **Refine focal details without re-rendering (Architect):** Use region enhancement to sharpen a specific façade panel, signage or material sample while leaving the rest of the image untouched, saving both render time and credits.
- **Blend AI results in Photoshop (Post-production / retouch artist):** Export a layered .psd with the original render as the base layer and composite the enhanced result selectively, keeping full control over where the AI treatment lands.

## 강점

- Purpose-built for architectural renders instead of general photo upscaling
- Prompt-free one-mode workflow with a simple 2x / 4x choice
- Batch workspace and saved sessions suit real project volumes
- Region enhancement and layered .psd export fit existing post-production habits
- Credits roll over month to month, so unused capacity is not lost
- Works with all major rendering engines and common image formats
- Company states uploaded images are not used for model training

## 한계

- No free trial — you must subscribe before testing on your own renders
- Credits are consumed by pixel area, so very high output resolutions get expensive quickly
- Basic plan processes only one image at a time
- Prices are quoted excluding VAT
- Concurrent processing and higher limits are gated behind higher tiers

## 자주 묻는 질문

### How are credits calculated?
Credits are based on the pixel area of the enhanced output using the formula Math.ceil(sqrt(width × height) / 500). A 2000×2000 result uses 4 credits and a 4000×4000 result uses 8 credits.

### Does Vaethat work with V-Ray, Lumion, 3ds Max and SketchUp renders?
Yes. It accepts output from V-Ray, Corona, Lumion, Twinmotion, D5 Render, 3ds Max, SketchUp, Cinema 4D, Unreal Engine, Octane, Arnold, KeyShot and other renderers, in PNG, JPG or WEBP format.

### Is there a free trial?
No free trial is offered. The entry point is the Basic plan at €12/month for 200 credits with output up to 4K.

### What happens to unused credits?
Unused credits roll over to the next month, capped per plan: Basic 400, Professional 1,000, Business 2,000, Enterprise Standard 4,000 and Enterprise Premium 8,000 credits.

### Will my renders be used to train AI models?
According to Vaethat, no. Uploaded images are processed only for enhancement and are not used for AI training.

### Can I export an editable file instead of a flat image?
Yes. Results can be downloaded as layered .psd files with the original render as the base layer, aligned pixel-for-pixel with the enhanced output.

### Vaethat의 월간 트래픽과 성장 추세는 어떠한가요?
Vaethat은(는) 현재 월 1.62만회 방문을 기록 중이며, 전월 대비 트래픽 변화량은 +9.52천(성장률 +141.6%)입니다. 주요 유입 시장은 가나(점유율 47.1%)이며, 여기에는 월 직접 방문 6.29천회와 월 자연 검색 방문 —회가 포함됩니다.

### Vaethat은(는) 무료인가요? 가격 모델은 무엇인가요?
Vaethat은(는) 무료 체험, 유료 가격 모델로 운영됩니다. Credit-based monthly subscription. Basic €12/month (200 credits, up to 4K), Professional €29/month (500 credits), Business €49/month (1000 credits), plus Enterprise tiers with custom credit allocation and an enterprise API. No free trial; unused credits roll over up to plan caps; prices exclude VAT; cancel anytime. 지원되는 결제 및 체크아웃 플랫폼에는 등록되지 않음 등이 있습니다.

### 2026년 최고의 Vaethat 대안은 무엇인가요?
OpenAITools.app의 카테고리 트래픽과 기능 적합도를 기준으로 할 때 Vaethat의 상위 5개 대안은 다음과 같습니다: 1. Upscale.media (월 171.98만회 방문); 2. MyArchitectAI (월 45.14만회 방문); 3. ImgUpscaler AI (월 197.84만회 방문); 4. Upscale Image (Upscayl) (월 15.4만회 방문); 5. Img Upscaler (월 226.03만회 방문).

### Vaethat은(는) 어떤 플랫폼과 핵심 AI 역량을 지원하나요?
Vaethat은(는) AI 이미지 향상 도구, AI 이미지 업스케일러, AI 인테리어 디자인, AI 그래픽 디자인으로 분류되며 다음 플랫폼을 지원합니다: 웹사이트. 핵심 역량 태그에는 AI 렌더 강화, 아키비즈 AI, 건축 시각화 AI, 3D 렌더 업스케일, 건축 AI 이미지 업스케일, 렌더 강화 등이 있습니다.

## 대안

| 도구 이름 | 월간 방문 수 | 가격 모델 | 비교 |
| :--- | :--- | :--- | :--- |
| [Upscale.media](https://openaitools.app/ko/tool/upscale-media) | 1,719,799 | 무료+유료 | [비교](https://openaitools.app/ko/compare/upscale-media-vs-vaethat) |
| [MyArchitectAI](https://openaitools.app/ko/tool/myarchitectai) | 451,357 | 무료+유료, 무료 체험, 유료 | [비교](https://openaitools.app/ko/compare/myarchitectai-vs-vaethat) |
| [ImgUpscaler AI](https://openaitools.app/ko/tool/imgupscaler-ai) | 1,978,375 | 무료+유료 | [비교](https://openaitools.app/ko/compare/imgupscaler-ai-vs-vaethat) |
| [Upscale Image (Upscayl)](https://openaitools.app/ko/tool/upscale-image) | 153,965 | 무료+유료 | [비교](https://openaitools.app/ko/compare/upscale-image-vs-vaethat) |
| [Img Upscaler](https://openaitools.app/ko/tool/img-upscaler) | 2,260,270 | 무료+유료 | [비교](https://openaitools.app/ko/compare/img-upscaler-vs-vaethat) |
| [Let's Enhance](https://openaitools.app/ko/tool/let-s-enhance) | 649,280 | 무료+유료, 무료 체험 | [비교](https://openaitools.app/ko/compare/let-s-enhance-vs-vaethat) |
| [Free AI Image Upscaling](https://openaitools.app/ko/tool/free-ai-image-upscaling) | 450,064 | 무료 | [비교](https://openaitools.app/ko/compare/free-ai-image-upscaling-vs-vaethat) |
| [Upscayl](https://openaitools.app/ko/tool/upscayl-org) | 876,425 | 무료+유료 | [비교](https://openaitools.app/ko/compare/upscayl-org-vs-vaethat) |
| [Upscalepics](https://openaitools.app/ko/tool/upscalepics) | 49,237 | 무료+유료 | [비교](https://openaitools.app/ko/compare/upscalepics-vs-vaethat) |
| [Rendair AI](https://openaitools.app/ko/tool/rendair-ai-platform) | 496,201 | 가격 문의 | [비교](https://openaitools.app/ko/compare/rendair-ai-platform-vs-vaethat) |
| [mnml.ai](https://openaitools.app/ko/tool/mnml-ai) | 292,719 | 무료+유료 | [비교](https://openaitools.app/ko/compare/mnml-ai-vs-vaethat) |
| [Unblurimage AI](https://openaitools.app/ko/tool/unblurimage-ai) | 398,979 | 무료+유료 | [비교](https://openaitools.app/ko/compare/unblurimage-ai-vs-vaethat) |

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출처: https://openaitools.app/ko/tool/vaethat