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AI card grading: pre-grade before PSA, BGS or CGC

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Embedly helps publishers and consumers manage embed codes from websites and APIs.

Which is more popular?
Based on our record, Embedly seems to be a lot more popular than CardGrade. While we know about 13 links to Embedly, we've tracked only 1 mention of CardGrade.
Website, pricing, platforms and company facts side by side.
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| Website | cardgrade.io | embed.ly |
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| Company | Startup from the United States · 1 - 9 employees | — |
| Listed in |
In their own words, as submitted to SaaSHub.


CardGrade helps trading-card collectors decide which cards are worth paying to grade. Upload front and back photos and CardGrade's CGI Vision AI performs a 16-zone inspection of every corner and edge, front and back, plus centering and surface. In about 60 seconds it returns predicted PSA, BGS,...
No description of Embedly yet.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


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Tips On Embedding In Blogs And Websites Using Embedly
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing CardGrade and Embedly.
CardGrade's answer
CardGrade combines a 47-point computer-vision inspection with predicted PSA, BGS, and CGC outcomes in about 60 seconds. Each report includes sub-scores, confidence, centering measurements, and a market-value estimate when available, so collectors can pre-screen cards before paying to submit them for professional grading. CardGrade is an independent prediction tool, not an official grading service.
CardGrade's answer
CardGrade grew from TCG Treasury LLC’s focus on practical tools for trading-card collectors. The product was created to make pre-submission condition review faster and more consistent: upload front and back photos, receive a structured AI inspection, and decide which cards are worth sending to a professional grader.
CardGrade's answer
Choose CardGrade when you want a fast, repeatable pre-screening workflow across Pokémon, sports cards, Magic: The Gathering, Yu-Gi-Oh!, One Piece, and other collectible cards. It combines front-and-back image analysis, four-pillar sub-scores, cross-company grade predictions, collection history, and optional market-value context in one workflow. Results are estimates, so they help prioritize submissions rather than replace professional grading.
CardGrade's answer
CardGrade is built for collectors, card shops, dealers, and grading-prep workflows. It is useful for anyone who wants to identify centering, corner, edge, and surface issues before spending money and time on professional grading submissions.
CardGrade's answer
CardGrade uses TypeScript-based web, mobile, and browser-extension clients, with React/Next.js and React Native/Expo surfaces backed by computer-vision and AI grading services. The system combines image capture, structured condition analysis, grade-prediction logic, account and collection workflows, and store-connected billing.
CardGrade's answer
Customer names are not publicly disclosed.
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Recommendations tracked on public social media and blogs since March 2021.


This is a write-up of how we structured the pipeline behind CardGrade, an app that pre-grades cards from phone photos. Its engine, CGI Vision AI, returns estimated PSA, BGS and CGC grades with confidence scores in about 60 seconds. It's... - Source: dev.to / about 1 month ago
You can see what kinds of properties you can see for media - I fed the URL of a video into embed.ly as that document suggested, but none of the fields returned gave me a video length... You may want to try with one of the images posted... Source: almost 3 years ago
Some people report success with getting approved by https://embed.ly/, others report that service never responded to them. Source: over 3 years ago
Embed.ly — Provides APIs for embedding media in a webpage, responsive image scaling, extracting elements from a webpage. Free for up to 5,000 URLs/month at 15 requests/second. - Source: dev.to / almost 4 years ago
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