
QualityScore.ai analyzes real estate photos to objectively assess the condition and quality of single and multifamily real estate. We extract
Whether it's to improve valuation accuracy, identify at-risk properties in a loan portfolio, or identify value-add opportunities at scale, our AI and computer vision algorithms can help you unlock valuable insights from real estate imagery.
QualityScore can extract features from real estate images to enrich data pipelines and improve models.
We detect room types, amenities like stainless steel appliances and stone countertops, and even attributes like vaulted ceilings and designer light fixtures.
Our algorithms have been trained on millions of photos from real estate listings and appraisals to objectively assess quality and condition.
Appraisers and site inspectors use QualityScore to standardize and automate property condition ratings. PropTech companies use it to auto-fill data and detect similar properties.
Over 24% of Google Searches return images, but less than 20% of the millions of property photos uploaded every day have any alt-image text describing the images.
QualityScore can automatically generate alt-text for real estate photos, improving both accessibility and SEO.
For an exterior score, we only need an address. For interiors, you can submit the URLs for each interior photo or we can use the Rent Source API to assess photos from the most recent listings available for an address.
We process all of a property's pictures in one go, usually handling up to 30 pictures at a time. This allows for a comprehensive analysis of the property's quality and condition, providing you with the most accurate and insightful data.
Absolutely, we understand that every business has unique requirements. Our team is open to discussions about customizing QualityScore to better suit your specific needs.
Whether it's picking up new attributes from property photos or tailoring the algorithms to focus on particular aspects of real estate quality and condition, we're all ears. Our goal is to provide you with the most valuable insights possible, so don't hesitate to reach out to us with your customization requests.
No, our algorithms are designed to be robust against image post-processing.
We've trained our Machine Learning models on a variety of images, including those that have undergone artificial enhancements, to ensure that our assessments focus on the actual quality and condition of the property rather than any artificially improved aspects.