QualityScore.ai analyzes interior and exterior property photos to quantify curb appeal and assess the physical condition of single-family homes and apartments.
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.
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.
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.
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.