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About TCGrader

Professional AI-Powered Grading Analysis

TCGrader uses advanced AI trained on professional grading principles inspired by the industry's leading grading companies to deliver fast, accurate, and transparent card analysis, so you can collect with confidence no matter the condition of your card.

Founder-operated

Built as a trusted collector resource.

TCGrader is built and operated by TCGrader, LLC to give collectors fast, structured, and transparent card analysis. The goal is not to replace PSA, Beckett, CGC, SGC, or another official grader. The goal is to make high-quality condition insight available instantly, whether you are organizing a collection, preparing a sale, comparing cards, or deciding what deserves an official submission.

For questions, support, or methodology feedback, contact contact@tcgrader.app.

Trusted AI analysis

A Smarter, Fairer Way to Grade

Traditional grading is slow, expensive, and often subjective. Cards can spend weeks in transit. Fees add up. And even after all that, two graders might disagree on your final score, a difference that can dramatically affect a card's resale value.

TCGrader is designed to be a definitive trusted resource for instant, data-driven card analysis powered by GPT-4o Vision, the same advanced AI technology used for professional visual analysis.

With every analysis, you can:

  • Predict your card's likely grade range.
  • Understand its strengths and flaws.
  • Decide which cards deserve closer attention, protection, sale, or submission.
  • Increase buyer confidence with transparent AI analysis.

The Result? Smarter submissions, fewer wasted fees, and higher long-term value for your collection.

Methodology

What TCGrader looks at.

Centering

Checks the visible border balance and estimated front/back centering ratios when the photo quality supports it.

Corners

Reviews visible corner sharpness, whitening, bends, rounding, and other condition cues in the submitted images.

Edges

Looks for edge whitening, rough cuts, visible chipping, and other perimeter wear.

Surface

Evaluates visible scratches, print defects, staining, dents, glare-obscured areas, and photo limitations.

A New Layer of Value in the Hobby

TCGrader introduces something completely new to the hobby — a digital grading layer between raw cards and slabbed cards.

It’s a middle ground for collectors and sellers who want verified quality and documentation without the cost or delay of full physical grading.

Every TCGrader report includes:

  • A professional-grade visual inspection.
  • A unique TCGrader ID for registration and verification.
  • Downloadable digital grading card for easy sharing and storage.

The Result? Smarter submissions, fewer wasted fees, and higher long-term value for your collection.

Reinventing the Grading Experience

We believe the future of collecting is AI-assisted, not human-limited.

Our goal isn’t to compete with traditional grading — it’s to complement it.

TCGrader is the modern collector’s toolkit: fast, affordable, transparent, and powered by artificial intelligence.

Because grading shouldn’t feel like guesswork — it should feel like empowerment.

The Future Is Already Here

As the first GPT-powered grading platform on the market, TCGrader represents a new era of accessibility and insight in the hobby.

Collectors, sellers, and investors now have a tool that’s instant, educational, and built entirely around their needs — not industry bottlenecks.

This is what grading should have always been:

Smart. Simple. Transparent. Yours.

What you can do

From analysis to collection record.

Try it free

One free grade every 7 days with no account required.

Save and verify

Create an account to check market values, save graded cards, download digital cards, and register TCGrader IDs.

Slab Service

Order a physical display package for eligible registered grades when you want a custom TCGrader holder and labels.

Model Limitations

GPT-4o Vision Disclaimer

TCGrader uses OpenAI's GPT-4o Vision model for image-based grading analysis. While this technology is highly advanced, it has known limitations that may affect accuracy or interpretation. These include:

  • Suboptimal performance with non-Latin text, such as Japanese or Korean.
  • Difficulty reading small or rotated text within images.
  • Challenges understanding graphs or visual styles, including dashed or dotted lines.
  • Approximate spatial reasoning and object counting accuracy.
  • Resized images may slightly affect proportions and fine detail recognition.