
Restb.ai
: How to use it, features, and the business problems it solves
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What is Restb.ai?
A platform that automatically analyzes real estate property photos using AI computer vision. It delivers high-accuracy auto-tagging and classification of room types and features, property condition assessment, similar-property matching, image caption generation, and duplicate or watermark detection. Designed to automate image-heavy real estate workflows for MLSs, portals, AVMs, appraisals, and insurance.
Business problems it solves
About "Restb.ai"
How to Use
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Send images to the API
Send the property photos you want to analyze to the Restb.ai API. It is designed to plug into your existing systems.
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Choose what to analyze
Specify the analyses (solutions) you need, such as room classification, feature tagging, property condition assessment, image captioning, and duplicate/watermark detection.
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Receive the analysis results
For each image, structured data such as room type, visible features, and property condition score is returned in the API response.
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Apply the results to your business systems
Apply the obtained tags and scores to systems such as MLS, real estate portals, valuation, and AVM, using them to improve searchability and run compliance checks.
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Batch-process large volumes of images
Continuously and automatically process large volumes of images according to the number of properties and requests, reducing manual tagging work.
Features
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Image Tagging and room classification
Automatically identifies and tags room types and the features and characteristics shown in photos.
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Property Condition assessment
Evaluates a property's condition from images and turns it into a score. This serves as reference information for valuation and underwriting.
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Image Caption generation
Automatically generates captions describing image content. This also helps with SEO and accessibility (ADA) compliance.
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Automatic Property Description generation
Automatically creates property listing descriptions based on the results of image analysis.
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Photo compliance and watermark/duplicate detection
Detects images that violate listing rules, as well as watermarked and duplicate images.
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Visual Similarities matching
Matches visually similar properties to help extract comparables (comps).
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API-centric, plug-in design
Delivered as an API that is easy to embed into existing systems, supporting a wide range of uses such as MLS, portals, AVM, and insurance.
Pricing
Pricing is current as of June 2026. Restb.ai is an API product for developers and businesses, and no fixed pricing table is published on the official site. Pricing is usage-based and quoted individually, varying by the number of properties analyzed per month, the solutions (analysis items) used, and the number of requests allowed (per second). Check by contacting the company through the official site for the latest information.
| Plan | Price | Key Features |
|---|---|---|
| API (individual quote) | Contact us (usage-based) | Image tagging, property condition assessment, captioning, compliance detection, and more, only as much as you need |
※ Pricing varies by the number of properties processed, the analysis items used, and the number of requests. When adopting it, tell the company your usage scale via the official site and request a quote.
Pros & Cons
Pros
- Automates the tagging and classification of property photos, greatly reducing manual registration work
- Obtains a variety of structured data from images, such as property condition assessment and caption generation
- API-centric design makes it easy to embed into existing systems such as MLS, portals, and AVM
- Can also be used for compliance purposes, such as detecting watermarked, duplicate, and rule-violating images
Cons
- The interface and documentation are primarily in English and do not support Japanese
- It assumes API use, so embedding it requires development resources
- Pricing is not published and is usage-based, requiring an individual quote based on your usage scale
Reviews & Reputation
- Real estate portal and MLS operators praise it for automating room classification and feature tagging of property photos, dramatically reducing the effort of registration work.
- Some note that automatic generation of captions and property descriptions has sped up the preparation of listing content.
- On the other hand, points raised as considerations when evaluating it include that it assumes API integration development, that it is primarily in English, and that pricing requires an inquiry.
FAQ
Q. What is Restb.ai used for?
It is a computer vision platform that uses AI to analyze real estate property photos, performing automatic room tagging and classification, property condition assessment, caption generation, and more. It is used in real estate operations that handle images, such as MLS, portals, valuation, and insurance.
Q. How much does it cost?
There is no published fixed pricing table; pricing is usage-based and quoted individually according to the number of properties analyzed per month, the analysis items used, and the number of requests. Contact the company through the official site to confirm.
Q. Does it support Japanese?
The interface and documentation are primarily in English and do not support Japanese.
Q. How is it implemented?
Because it is delivered primarily as an API, you embed the API into your own systems to use it. It is designed to be embedded in a plug-in manner.
How Restb.ai differs from typical image-editing tools
| Aspect | Restb.ai | Typical image editing/generation tools | Use Case |
|---|---|---|---|
| Role | Analysis, tagging, and classification of property images | Mainly image editing and generation | Choose Restb.ai if you want to structure property photos |
| Target | Specialized for real estate operations | General-purpose image processing | Effective for real estate uses such as MLS, valuation, and insurance |
| Delivery | API-centric (system integration) | Often apps and web tools | Suited to automatically processing large volumes of images |
For a more detailed comparison, please also see the pages of related services.


