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How to Write Auction Condition Reports

How to write auction condition reports: what to disclose, consistent grading language with examples, and how AI drafts condition notes from photos.

How to Write Auction Condition Reports

An auction condition report states a lot's defects plainly, in consistent grading language, with photos of the flaws. It is not the marketing description; it is the honest disclosure that sets bidder expectations and protects you when a buyer inspects what they won. Write it so a bidder five states away knows exactly what they are getting.

What goes in an auction condition report

A condition report is a disclosure checklist, not prose. Cover:

  • Overall grade. One consistent word (see the vocabulary below).
  • Wear. Scratches, scuffs, fading, patina, consistent with age or not.
  • Damage. Chips, cracks, breaks, repairs, missing parts.
  • Function. Tested and working, untested, or sold as-is.
  • Completeness. All pieces present, or what is missing.
  • Photos of the flaws. Every defect named should be visible in an image.

The rule of thumb: disclose anything that would change a bidder's number if they saw it in person.

Condition grading language, with examples

Use a consistent scale so bidders can compare lots. A common one runs mint, excellent, good, fair, and as-is, plus plain phrases that carry no ambiguity:

  • "Excellent, shows light wear consistent with age."
  • "Good, one chip to the base rim, approximately 5mm, pictured."
  • "Fair, hairline crack across the back, stable."
  • "Sold as-is, not tested, sold for parts or restoration."

Worked example: a ceramic pitcher might read, "Standard lot. Good condition overall. Glaze crazing throughout consistent with age, one 8mm chip to the spout (pictured), no cracks, holds water. Maker's mark to base." That tells a bidder the grade, the specific defects, the function, and where to look.

According to Bidspirit's auction catalog imaging guide (2024), multi-angle photography including front, back, side, top, and unique features, with 360-degree views for 3D objects, is the standard for comprehensive detail visibility, and a condition report should point to those angles. According to AuctionNinja's photography best practices guide, lots should carry at least three photos from varying angles, which is the minimum for showing the flaws you describe.

Drafting condition notes from photos with AI

An AI cataloging tool can draft a first-pass condition note from the photos: it flags visible wear, chips, and damage, and writes them into the draft in consistent language. Gavelist reads every photo in a lot, so a crack on the reverse or a chip on the base gets surfaced, not just what shows on the hero shot. You review and finalize.

The boundary matters. AI reports what a photo shows. It does not verify that the clock runs, that the hidden joint is sound, or that the piece is authentic. According to Mearto, AI can recognize items and locate comparable online items but still lacks the connoisseurship to judge authenticity, condition, and provenance the way a human appraiser does. The tool drafts the visible condition; you confirm function and catch what a photo cannot show.

Why honest condition reporting protects your sale

A condition report is risk management. Undersell a defect and you invite disputes, returns, and chargebacks; disclose it plainly and the winning bid stands. Bidders who trust your reports bid higher because they are not pricing in uncertainty. The honest report is also the profitable one, because it turns a cautious bidder into a confident one.

Frequently asked questions

What should an auction condition report include? An overall grade, specific wear and damage, function status (tested, untested, or as-is), completeness, and photos of every flaw you describe.

Can AI write a condition report? It can draft one from the photos, flagging visible wear and damage in consistent language. You verify function and hidden or authenticity issues a photo cannot show, then finalize.

What grading words should I use? A consistent scale such as mint, excellent, good, fair, and as-is, paired with plain descriptions of the specific defects so bidders can compare lots without guessing.

Sources

  • Bidspirit, "Auction Catalog Imaging Guide" (2024). bidspirit.com
  • AuctionNinja, "Photography Best Practices for Auction Lots." auctionninja.com
  • Mearto, "Will Artificial Intelligence Ever Be Able to Appraise Art and Antiques?" mearto.com

More: writing auction descriptions and provenance, defined.

Ben Cope

Founder of Gavelist. Building AI-powered auction cataloging tools for estate auctioneers. Previously in AI product development and computer vision.

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