SwiftReporter

Auto-Detect Defects

Instantly Detect Defects from Photos using AI

SwiftReporter auto-detect defects

Forget typing a full narrative for every photo. With Auto-Detect, you snap or upload a picture and SwiftReporter’s AI analyzes the image to draft the defect Title, Location, Description, and Recommendation — ready for you to review before it goes in the report.

Why inspectors use Auto-Detect

  • Speed: Go from photo to a complete draft observation in seconds.
  • Consistency: Suggested wording follows a clear defect structure clients can understand.
  • Clarity: Pair AI drafts with photo annotations so clients see exactly what you mean.

How to use Auto-Detect

  1. Open an inspection and add or open an observation.
  2. Add a photo (camera or upload).
  3. Run Auto-Detect on the photo (or follow the on-screen Auto-Detect flow for new captures).
  4. Review the drafted title, location, description, and recommendation.
  5. Edit anything that needs your professional judgment, then save.
  6. Optionally annotate the photo (arrows, rectangles, captions) before finalizing.

Always treat Auto-Detect output as a first draft. You remain responsible for accuracy, severity, and recommendations in the published report.

What the AI typically drafts

  • Title: A short label for the finding (for example, a localized ceiling stain).
  • Location: Where on the property the issue appears.
  • Description: Narrative detail based on what is visible in the photo.
  • Recommendation: Suggested next steps you can accept or rewrite.

Tips for better results

  • Capture a clear, well-lit photo of the defect area.
  • Annotate after detection when you want clients to focus on a specific detail.
  • Add a quick caption (for example “Mold”) when a short label helps the report.
  • Combine Auto-Detect with your comment library when you already have preferred wording.

Related