Collectibles Recognition
To use the Ximilar API, register at Ximilar App to get your API token. You can explore and test solutions in the Ximilar App or try limited public demos on the service page.
This page describes the API for the Collectibles Recognition service, which uses AI to analyze photos of collectible items, such as trading card games, sports cards, comic books, manga, banknotes, stamps, coins, and their slabs.
The API first detects all collectible items in an image, then identifies them one by one. For recognized cards (both TCGs and sport cards) and comics (including manga), the service provides details like:
subcategory
,name
, andyear
set
,set_code
,series
, andcard_number
rarity
- and other relevant fields.
The service can also extract information from slab labels and retrieve prices with links to marketplaces.
If you only want to search for prices using text or the name of a collectible item, you can use our Collectibles Text Search instead.
If you're looking for a more detailed analysis of collector items, such as:
- You're missing a specific feature, item, or game and would like it added to this endpoint
- You want visual search or identification for stamps, banknotes, coins, comics, posters, vinyl covers, cards, etc.
- You want to enable visual search on your own database of collector items
Then please contact us at care@ximilar.com, and we will create a customized solution tailored to your needs.
If you need to process a large number (millions) of requests per day or month and don't require immediate results, use our asynchronous requests with webhooks.
Endpoints
The Collectibles Recognition API offers multiple endpoints, each tailored for a specific use case and priced accordingly:
https://api.ximilar.com/collectibles/v2/tcg_id → trading card games
https://api.ximilar.com/collectibles/v2/sport_id → sport cards
https://api.ximilar.com/collectibles/v2/comics_id → comic books, magazines & manga
https://api.ximilar.com/collectibles/v2/card_ocr_id → ocr on cards
https://api.ximilar.com/collectibles/v2/slab_id → graded slabs (complex analysis)
https://api.ximilar.com/collectibles/v2/slab_grade → graded slabs (simple analysis)
https://api.ximilar.com/collectibles/v2/detect → object localization only
https://api.ximilar.com/collectibles/v2/process → localization with tags
https://api.ximilar.com/collectibles/v2/analyze → full analysis (all-in-one)
If you only want to search for prices using text or the name of a collectible item, you can use our Collectibles Text Search instead.
Custom Features
If you’re looking for a more detailed analysis of collector items, such as:
- You’re missing a specific feature, item, or game and would like it added to this endpoint
- You want visual search or identification for stamps, banknotes, coins, comics, posters, vinyl covers, cards, etc.
- You want to enable visual search on your own database of collector items
Then please contact us at care@ximilar.com, and we will create a customized solution tailored to your needs.
TCG Identification
This method takes a list of image records and returns the identification of the largest trading card game (TCG) card detected in each image. Once the card is found, the service performs detailed analysis and identification.
It supports cards from over 15 games, including Pokémon, Yu-Gi-Oh!, Magic: The Gathering, One Piece, and Lorcana.
The service can recognize:
- Alphabet/language used on the card
- Visual features such as holo/foil effects
- Card details such as
set
,set_code
,series
,card_number
,full_name
,year
, and more
For many cards, it also provides links to third-party sites like tcgplayer.com or scryfall.com.
The full lists of attributes, supported games, languages, and marketplaces is available on the taxonomy page.
If a graded slab label is present, the service can detect and analyze it, extracting information like the certificate number and grade value.
If you need to distinguish between different different languages that use the Latin alphabet (English, German, Portuguese, Spanish, etc.),
set "lang": true
in your request. The returned _ocr
field will include the identified language.
For some TCGs, the service can also accurately identify Korean, Japanese, simplified Chinese, and traditional Chinese variants.
Required attributes
- Name
records
- Type
- dict
- Max
- Maximum:10
- Description
A batch of JSON records (max 10). One record represents a single image defined by
_url
or_base64
.
Optional attributes
- Name
lang
- Type
- boolean
- Default
- Default:false
- Description
Set to
true
to detect the language of the trading card (only applies to languages using the Latin alphabet, such as English, German, Spanish, etc.). Otherwise, the language will be inferred from the_tags
field.
- Name
slab_id
- Type
- boolean
- Default
- Default:false
- Description
If set to
true
, the system will use OCR and AI to identify the slab label of the largest detected card. Only one slab label is analyzed per image. This action consumes extra API credits as per the/v2/slab_id
endpoint pricing.
- Name
slab_grade
- Type
- boolean
- Default
- Default:false
- Description
If set to
true
, the system will analyze the grading company and grade from the slab label using AI. This action consumes extra API credits as per the/v2/slab_grade
pricing.
- Name
analyze_all
- Type
- boolean
- Default
- Default:false
- Max
- Maximum:1 record/image
- Description
If set to
true
, the system will analyze all cards visible in the image (only one image/record is allowed). This is useful for images like a card binder page. Credits are charged per card, not per record (number of cards × credit price of endpoint).
- Name
pricing
- Type
- boolean
- Default
- Default:false
- Description
If set to
true
, the system will attempt to return price estimates. This also consumes API credits based on the pricing operation (see the full list of operations and prices). No credits are charged if the system finds no price data.
- Name
include_mtg_oversized
- Type
- boolean
- Default
- Default:False
- Description
If set to true, then system will include oversized cards in the pricing data, default False.
- Name
include_mtg_digital
- Type
- boolean
- Default
- Default:False
- Description
If set to true, then system will include digital cards in the pricing data, default False.
Returns
HTTP error code 2XX, if the method was OK, and other HTTP error code, if the method failed. The response body is a JSON object (map) with the following fields:
- Name
records
- Type
- dict
- Description
A JSON array with the input
records
. Each record includes an_objects
field containing identified entities (Card
,Slab Label
). The main object includes an_identification
field with the recognized card's details.
- Name
status
- Type
- dict
- Description
A dictionary (JSON map) describing the result of the operation. Includes a numeric status
code
(ligned with HTTP conventions) andtext
(describing the status).
Request
curl https://api.ximilar.com/collectibles/v2/tcg_id -H "Content-Type: application/json" -H "Authorization: Token __API_TOKEN__" -d '{
"records": [
{
"_url": "__PATH_TO_IMAGE_URL__"
}
],
"slab_grade": true,
"slab_id": true,
"pricing": true
}'
Response
{
"records": [
{
"_url": "https://images.ximilar.com/examples/demo/collectibles/pokemon.jpeg",
"_status": { "code": 200, "text": "OK", "request_id": "80985c61-bc9b-49f2-9756-c09c926b015c"},
"_id": "c945fbd1-b706-4e83-a4f2-4cc9ea967e1d",
"_width": 389,
"_height": 659,
"Category": "Card/Trading Card Game",
"_objects": [
{
"name": "Card",
"id": "76fa9ec3-e0d9-408a-b582-55a1cd6712e0",
"bound_box": [
38,
165,
348,
616
],
"prob": 0.9330817461013794,
"area": 0.5453850384823933,
"Top Category": [
{
"id": "8ae26c4a-ae79-4c01-9b54-ac4e2b42e914",
"name": "Card",
"prob": 1.0
}
],
"_tags": {
"Category": [
{
"name": "Card/Trading Card Game",
"prob": 1.0,
"id": "d44efa56-09c3-4829-b3e7-226fe9cfe798",
"pre-filled": true
}
],
"Side": [
{
"prob": 0.99487,
"name": "front",
"id": "b48a23fe-381e-4a67-b649-9839e1f7d5a7"
}
],
"Subcategory": [
{
"prob": 0.99945,
"name": "Pokemon",
"id": "fdbb3942-b7e0-476a-8f13-af77aedd13e6"
}
],
"Foil/Holo": [
{
"prob": 0.99159,
"name": "Foil/Holo",
"id": "f8ade5be-18f3-49d2-aa76-2431a16bd3f7"
}
],
"Alphabet": [
{
"prob": 0.99615,
"name": "latin",
"id": "f0339837-aa0b-414f-acb8-d47d6ef3b7fa"
}
]
},
"_tags_simple": [
"Card/Trading Card Game",
"front",
"Pokemon",
"Foil/Holo",
"latin"
],
"_identification": {
"best_match": {
"year": 2000,
"full_name": "Dark Gyarados Team Rocket (RO) #8",
"name": "Dark Gyarados",
"set": "Team Rocket",
"color": "Water",
"type": "Pokemon",
"set_code": "RO",
"rarity": "Rare Holo",
"out_of": "82",
"card_number": "8",
"series": "Classic",
"subcategory": "Pokemon",
"links": {
"tcgplayer.com": "https://www.tcgplayer.com/product/84606",
"ebay.com": "https://www.ebay.com/sch/i.html?_nkw=Pokemon+Dark+Gyarados+RO+%238&_sacat=2536"
},
"pricing": {
"list": [
{
"item_id": "v1|116472483717|0",
"item_link": "https://www.ebay.com/itm/116472483717",
"name": "Dark Gyarados 8/82 Holo Team Rocket Prerelease Promo Pokemon Card -",
"price": 11.99,
"currency": "USD",
"country_code": "US",
"source": "eBay",
"date_of_creation": "2025-02-09",
"date_of_sale": null,
"grade_company": null,
"grade": null,
"version": "Foil/Holo",
"variation": null
},
{
"item_id": "v1|335803065051|0",
"item_link": "https://www.ebay.com/itm/335803065051",
"name": "2000 Pokemon Team Rocket Holo Dark Gyarados #8 0n5m",
"price": 40.5,
"currency": "USD",
"country_code": "US",
"source": "eBay",
"date_of_creation": "2025-02-08",
"date_of_sale": null,
"grade_company": null,
"grade": null,
"version": "Foil/Holo",
"variation": null
}
]
}
},
"alternatives": [
{
"year": 2000,
"full_name": "Dark Gyarados Team Rocket (RO) #25",
"name": "Dark Gyarados",
"set": "Team Rocket",
"color": "Water",
"type": "Pokemon",
"set_code": "RO",
"rarity": "Rare",
"out_of": "82",
"card_number": "25",
"series": "Classic",
"subcategory": "Pokemon",
"links": {
"tcgplayer.com": "https://www.tcgplayer.com/product/84607",
"ebay.com": "https://www.ebay.com/sch/i.html?_nkw=Pokemon+Dark+Gyarados+RO+%2325&_sacat=2536"
}
},
{
"year": 2021,
"full_name": "Dark Gyarados Celebrations (CEL) #8",
"name": "Dark Gyarados",
"set": "Celebrations",
"color": "Water",
"type": "Pokemon",
"set_series_code": "Ann25thR",
"set_code": "CEL",
"rarity": "Ultra Rare",
"out_of": "82",
"card_number": "8",
"series": "Sword & Shield",
"subcategory": "Pokemon",
"links": {
"tcgplayer.com": "https://www.tcgplayer.com/product/250294",
"ebay.com": "https://www.ebay.com/sch/i.html?_nkw=Pokemon+Dark+Gyarados+CEL+%238&_sacat=2536"
}
}
],
"distances": [
0.30719548,
0.38173488,
0.47646382
]
}
},
{
"name": "Slab Label",
"id": "9242aeda-1a35-4c93-b75c-958af91e63a7",
"bound_box": [
31,
22,
375,
130
],
"prob": 0.763236403465271,
"area": 0.14492629246618893,
"Top Category": [
{
"id": "79425eda-c25b-48e3-a9de-0fe8303a4635",
"name": "Slab Label",
"prob": 1.0
}
],
"_tags": {
"Company": [
{
"prob": 0.98724,
"name": "PSA",
"id": "2f4545e7-08e4-492b-ab4e-02a409d58988"
}
],
"Grade": [
{
"prob": 0.99235,
"name": "9",
"id": "5ae512e1-5296-4900-ac6d-3092b71d28e7"
}
],
"Side": [
{
"prob": 0.97328,
"name": "front",
"id": "6b41ebfc-cfbd-4f93-a9bf-bf54b357cafd"
}
],
"Graded": [
{
"prob": 0.9806,
"name": "yes",
"id": "9d7bf709-dfbc-4595-91be-a9d779b5f33c"
}
]
},
"_tags_simple": [
"PSA",
"9",
"front"
],
"_identification": {
"best_match": {
"name": "DARK GYARADOS",
"brand": "POKEMON",
"verbal_grade": "Mint",
"grade": "9",
"year": null,
"card_no": "#8",
"certificate_number": "48658983",
"lang": null,
"set": "ROCKET",
"rarity": "HOLO",
"links": {
"psacard.com": "https://www.psacard.com/cert/48658983"
}
}
}
}
]
}
],
"pricing": true,
"slab_grade": true,
"slab_id": true,
"status": {
"code": 200,
"text": "OK",
"request_id": "80985c61-bc9b-49f2-9756-c09c926b015c",
"proc_id": "a89e599c-d0cd-4e44-9202-e7a3634adb63"
},
"statistics": {
"processing time": 1.1655206680297852
}
}
Make predictions faster and more precise
The endpoint can be faster and more accurate if you send Top Category
, Category
, Side
, Alphabet
,
Subcategory
, Foil/Holo
, or Rotation
in the record.
The more information you provide, the better and faster the system can narrow down the results and identify the correct card.
You can also specify the set_code
to limit the prediction to cards from that particular set.
{
"_url": "https://images.ximilar.com/examples/demo/collectibles/gideon.jpeg",
"Top Category": "Card",
"Side": "front",
"Alphabet": "latin",
"Category": "Card/Trading Card Game",
"Subcategory": "Magic The Gathering",
"Foil/Holo": "Non-Foil",
"Rotation": "rotation_ok",
"set_code": "CMM"
}
Sports Card Identification
Given a list of image records, this method identifies the largest Sport card
detected in the image.
It can recognize cards from various sports (Subcategory
), including Baseball
, Basketball
, Football
, Hockey
, Soccer
, and MMA
.
The service can also detect visual features such as Foil/Holo
and Autograph
,
and returns details like name
, team
, year
, card_number
, set_name
, and company
.
It also provides links
to relevant marketplaces, such as ebay.com
, comc.com
, and beckett.com
.
Our sports card database includes several million cards and is growing every day, but it may not cover every set or category. If you need a specific set or category added, please contact us at tech@ximilar.com.
Required attributes
- Name
records
- Type
- dict
- Max
- Maximum:10
- Description
A batch of JSON records (max 10). Each record represents a single image, defined by
_url
or_base64
.
Optional attributes
- Name
slab_id
- Type
- boolean
- Default
- Default:false
- Description
If set to
true
, the system will use OCR and AI to identify the slab label of the largest detected card. One slab label will be analyzed per image. This action consumes extra API credits as per the/v2/slab_id
endpoint pricing.false
by default.
- Name
slab_grade
- Type
- boolean
- Default
- Default:false
- Description
If set to
true
, the AI system will analyze the grading company and grade. This will also consume additional API credits according to/v2/slab_grade
.false
by default.
- Name
analyze_all
- Type
- boolean
- Default
- Default:false
- Max
- Maximum:1 record/image
- Description
If set to
true
, all cards in the image will be analyzed (only 1 record/image is allowed). This is useful for cases like a card binder. Credits are charged per each analysed card in the image, not per record (total credits = number of cards × credit price of the endpoint).false
by default.
- Name
pricing
- Type
- boolean
- Default
- Default:false
- Description
If set to
true
, the system will try to return the prices. This will also consume additional API credits according to thepricing
operation. No credits will be charged if the system returns no prices.false
by default.
Returns
HTTP error code 2XX, if the method was OK, and other HTTP error code, if the method failed. The response body is a JSON object (map) with the following fields:
- Name
records
- Type
- dict
- Description
JSON array with the input
records
, each record including the field_objects
(eitherSlab Label
orCard
). The main object contains_identification
with detailed information about the identified card.
- Name
status
- Type
- dict
- Description
A JSON object showing the status of the request.
It includes:code
: a numeric status code (similar to HTTP status codes)text
: a short description of the status
Request
curl https://api.ximilar.com/collectibles/v2/sport_id -H "Content-Type: application/json" -H "Authorization: Token __API_TOKEN__" -d '{
"records": [
{
"_url": "__PATH_TO_IMAGE_URL__"
}
],
"pricing": true
}'
Response
{
"records": [
{
"_url": "https://images.ximilar.com/examples/demo/collectibles/jirip.jpeg",
"_status": {
"code": 200,
"text": "OK",
"request_id": "cf82301a-46a5-4648-8909-a4894ece97c6"
},
"_id": "0aa7edf6-2495-4d0e-8502-f8dd7da8e8c7",
"_width": 1200,
"_height": 1600,
"Category": "Card/Sport Card",
"_objects": [
{
"name": "Card",
"id": "76fa9ec3-e0d9-408a-b582-55a1cd6712e0",
"bound_box": [
77,
97,
1096,
1464
],
"prob": 0.8502776026725769,
"area": 0.7255067708333334,
"Top Category": [
{
"id": "8ae26c4a-ae79-4c01-9b54-ac4e2b42e914",
"name": "Card",
"prob": 1.0
}
],
"_tags": {
"Category": [
{
"name": "Card/Sport Card",
"prob": 1.0,
"id": "a5634621-4a37-4b37-aa3d-720b2d6b35ec",
"pre-filled": true
}
],
"Side": [
{
"prob": 0.97608,
"name": "front",
"id": "651c8141-2b18-479b-a8b1-b959bc34b729"
}
],
"Subcategory": [
{
"prob": 0.84972,
"name": "MMA",
"id": "87e0dd9b-68f2-42f2-9283-2379c43f790b"
}
],
"Autograph": [
{
"prob": 0.97988,
"name": "not signed",
"id": "5c1bb98b-cd69-42c9-ab2a-75e480ffa2b0"
}
],
"Foil/Holo": [
{
"prob": 0.99476,
"name": "Foil/Holo",
"id": "8d0a5c67-eb08-4908-81c9-60e74d7028e7"
}
],
"Graded": [
{
"prob": 0.97944,
"name": "no",
"id": "3a532911-7d7c-4b9b-8442-f0f293952be6"
}
]
},
"_tags_simple": [
"Card/Sport Card",
"front",
"MMA",
"not signed",
"Foil/Holo"
],
"_identification": {
"best_match": {
"year": "2021",
"name": "Jiri Prochazka",
"set_name": "Chronicles",
"card_type": "Rookie Card",
"card_number": "128",
"subcategory": "MMA",
"sub_set": "UFC",
"company": "Panini",
"full_name": "Jiri Prochazka 2021 #128 Panini Chronicles UFC",
"links": {
"ebay.com": "https://www.ebay.com/sch/i.html?_nkw=Jiri+Prochazka+2021+Chronicles+UFC+%23128+RC&_sacat=212",
"comc.com": "https://www.comc.com/Cards,=Jiri+Prochazka+2021+Chronicles+UFC+%23128+RC",
"beckett.com": "https://marketplace.beckett.com/search_new/?term=Jiri+Prochazka+2021+Chronicles+UFC+%23128+RC"
},
"pricing": {
"list": [
{
"item_id": "v1|167302788807|0",
"item_link": "https://www.ebay.com/itm/167302788807",
"name": "SILVER RC Jiri Prochazka 2021 Panini Chronicles UFC Certified RC #128 MMA 📈",
"price": 5.0,
"currency": "USD",
"country_code": "US",
"source": "eBay",
"date_of_creation": "2025-02-08",
"date_of_sale": null,
"grade_company": null,
"grade": null,
"version": "Foil/Holo",
"variation": null
}
]
}
},
"alternatives": [
{
"year": "2021",
"name": "Jiri Prochazka",
"set_name": "Chronicles",
"card_type": "Rookie Card",
"card_number": "128",
"sub_set": "UFC",
"subcategory": "MMA",
"company": "Panini",
"full_name": "Jiri Prochazka 2021 #128 Panini Chronicles UFC",
"links": {
"ebay.com": "https://www.ebay.com/sch/i.html?_nkw=Jiri+Prochazka+2021+Chronicles+UFC+%23128+RC&_sacat=212",
"comc.com": "https://www.comc.com/Cards,=Jiri+Prochazka+2021+Chronicles+UFC+%23128+RC",
"beckett.com": "https://marketplace.beckett.com/search_new/?term=Jiri+Prochazka+2021+Chronicles+UFC+%23128+RC"
}
}
],
"distances": [
0.20778613,
0.33050093
]
}
}
],
"Graded Slab": [
{
"prob": 0.97944,
"name": "no",
"id": "3a532911-7d7c-4b9b-8442-f0f293952be6"
},
{
"prob": 0.02056,
"name": "yes",
"id": "9d7bf709-dfbc-4595-91be-a9d779b5f33c"
}
]
}
],
"pricing": true,
"status": {
"code": 200,
"text": "OK",
"request_id": "cf82301a-46a5-4648-8909-a4894ece97c6",
"proc_id": "3b7a5c94-2ebb-4586-ad72-859bae9ac8a8"
},
"statistics": {
"processing time": 1.959585428237915
}
}
Comics Identification
Given a list of image records, this endpoint identifies the largest Comics
detected in the image.
It supports comic books, comic magazines, and manga, returning details such as the name
,
title
, date
of release, issue number
, publisher
and origin_date
.
Our database contains millions of comics and is continuously expanding. If you need coverage for specific titles, publishers, or categories, contact tech@ximilar.com.
Required attributes
- Name
records
- Type
- dict
- Max
- Maximum:10
- Description
Batch of up to 10 JSON records, each representing an image via
_url
or_base64
. Optionally include alang
field (e.g.,en
,de
,es
) to limit search to a specific language variant. We recommenden
.
Optional attributes
- Name
slab_id
- Type
- boolean
- Default
- Default:false
- Description
If set to
true
, the slab identification will be done via OCR and AI. Only one slab label will be analyzed per image. This will consume additional API credits according to/v2/slab_id
.false
by default.
- Name
analyze_all
- Type
- boolean
- Default
- Default:false
- Description
If set to
true
, all comic books in the image will be analyzed (only 1 record/image is allowed). Credits are charged per each analysed comics in the image, not per record (total credits = number of comics × credit price of the endpoint).false
by default.
- Name
pricing
- Type
- boolean
- Default
- Default:false
- Description
If set to
true
, the system will try to return the prices. This will also consume additional API credits according to thepricing
operation. No credits will be charged if the system returns no prices.false
by default.
Returns
HTTP error code 2XX, if the method was OK, and other HTTP error code, if the method failed. The response body is a JSON object (map) with the following fields:
- Name
records
- Type
- dict
- Description
JSON array with the input
records
, each enriched with field_objects
(of typeSlab Label
orComics
). The main object contains_identification
with the identified comic's details.
- Name
status
- Type
- dict
- Description
Status of the request, including:
code
(numeric status code, similar to HTTP) andtext
(status description).
Request
curl https://api.ximilar.com/collectibles/v2/comics_id -H "Content-Type: application/json" -H "Authorization: Token __API_TOKEN__" -d '{
"records": [
{
"_url": "__PATH_TO_IMAGE_URL__",
"lang": "en"
}
],
"slab_id": true
}'
Response
{
"records": [
{
"_url": "__PATH_TO_IMAGE_URL__",
"_status": {
"code": 200,
"text": "OK",
"request_id": "d0bbbb58-490f-4721-8273-e32bc01c9bc6"
},
"_id": "dec258cf-4d77-4c55-b4b7-418725b4be08",
"_width": 419,
"_height": 640,
"_objects": [
{
"name": "Comics",
"id": "520eee19-2502-41a7-a1cf-23c6daf22138",
"bound_box": [
38,
93,
370,
621
],
"prob": 0.7870738506317139,
"area": 0.6536992840095466,
"Top Category": [
{
"id": "6abbefd9-5571-4915-a057-2fba3c3663a3",
"name": "Comics",
"prob": 1.0
}
],
"_identification": {
"best_match": {
"name": "Fantastic Four",
"title": "Counter-Earth Must Die--At The Hand Of Galactus!",
"date": "August 1976",
"number": "173",
"publisher": "Marvel",
"origin_date": "1961",
"links": {
"ebay.com": "https://www.ebay.com/sch/i.html?_nkw=Comics+Fantastic+Four+%23173+Marvel",
"midtowncomics.com": "https://www.midtowncomics.com/search?q=Comics+Fantastic+Four+%23173+Marvel"
}
},
"alternatives": []
}
},
{
"name": "Slab Label",
"id": "9242aeda-1a35-4c93-b75c-958af91e63a7",
"bound_box": [
20,
14,
375,
101
],
"prob": 0.583219051361084,
"area": 0.115173776849642,
"Top Category": [
{
"id": "79425eda-c25b-48e3-a9de-0fe8303a4635",
"name": "Slab Label",
"prob": 1.0
}
],
"_tags": {
"Category": [
{
"prob": 0.73168,
"name": "CGC-COMICS",
"id": "b2aae47e-a788-46c7-98f5-b27d3d1bdd3c"
}
],
"Side": [
{
"prob": 0.94687,
"name": "front",
"id": "6b41ebfc-cfbd-4f93-a9bf-bf54b357cafd"
}
],
"Graded": [
{
"prob": 0.95005,
"name": "yes",
"id": "9d7bf709-dfbc-4595-91be-a9d779b5f33c"
}
]
},
"_tags_simple": [
"CGC-COMICS",
"front"
],
"_ocr": {
"full_text": "CGC UNIVERSAL GRADE 7.5 Fantastic Four173 Marvel Comic.1/76",
"lang_name": "english",
"lang": "en"
},
"_identification": {
"best_match": {
"name": "FANTASTIC FOUR",
"brand": "MARVEL COMIC",
"verbal_grade": "Fantastic",
"grade": "7.5",
"year": "1976",
"card_no": "173",
"certificate_number": null,
"lang": null
}
}
}
],
"Graded Slab": [
{
"prob": 0.95005,
"name": "yes",
"id": "9d7bf709-dfbc-4595-91be-a9d779b5f33c"
},
{
"prob": 0.04995,
"name": "no",
"id": "3a532911-7d7c-4b9b-8442-f0f293952be6"
}
]
}
],
"slab_id": true,
"status": {
"code": 200,
"text": "OK",
"request_id": "d0bbbb58-490f-4721-8273-e32bc01c9bc6",
"proc_id": "cfc7eff0-05a1-47e4-8e30-79bad9253dd5"
},
"statistics": {
"processing time": 0.7930326461791992
}
}
Card OCR & Identification
Given a list of image records, this method identifies the largest card detected in the image and, if present, the largest slab label. It is designed for reading text from cards and slab labels (e.g., by PSA or Beckett) using OCR combined with an AI model.
Correct graded slab label identification can look like this:
{
"name": "2019 FINEST UEFA ERLING BRAUT HAALAND",
"grade": "10",
"year": "2019",
"certificate_number": "51974133"
}
Because the process relies on mined text, identification may occasionally be incomplete or imprecise.
Incomplete card identification (missing year) may look like this:
{
"name": "ERLING BRAUT HAALAND",
"year": null,
"subcategory": "Soccer"
}
Required attributes
- Name
records
- Type
- dict
- Max
- Maximum:10
- Description
Batch of up to 10 JSON records. Each record represents an image via
_url
or_base64
.
Returns
HTTP error code 2XX, if the method was OK, and other HTTP error code, if the method failed. The response body is a JSON object (map) with the following fields:
- Name
records
- Type
- dict
- Description
JSON array with the input
records
, each enriched by field_objects
(either of typeSlab Label
orCard
).
Each_objects
item contains:_ocr
_tags
_tags_simple
_identification
The
_identification
has thebest_match
field and can include:name
full_name
year
grade
certificate_number
and more.
- Name
status
- Type
- dict
- Description
JSON map with the processing status:
code
(numeric status code, similar to HTTP codes) andtext
(status description).
Request
curl https://api.ximilar.com/collectibles/v2/card_ocr_id -H "Content-Type: application/json" -H "Authorization: Token __API_TOKEN__" -d '{
"records": [
{
"_url": "__PATH_TO_IMAGE_URL__"
}
]
}'
Response
{
"records": [
{
"_url": "__URL_PATH__",
"_status": {
"code": 200,
"text": "OK",
"request_id": "37d5842e-a6f1-443f-a2c4-6cafa5ed604b"
},
"_id": "8c26e90a-627e-444e-a3a6-92845f581858",
"_objects": [
{
"name": "Card",
"id": "76fa9ec3-e0d9-408a-b582-55a1cd6712e0",
"bound_box": [
213,
403,
872,
1273
],
"prob": 0.978815495967865,
"area": 0.36865354938271605,
"Top Category": [
{
"id": "8ae26c4a-ae79-4c01-9b54-ac4e2b42e914",
"name": "Card",
"prob": 1.0
}
],
"_tags": {
"Category": [
{
"prob": 0.99694,
"name": "Card/Sport Card",
"id": "a5634621-4a37-4b37-aa3d-720b2d6b35ec"
}
],
"Side": [
{
"prob": 0.98772,
"name": "front",
"id": "651c8141-2b18-479b-a8b1-b959bc34b729"
}
],
"Subcategory": [
{
"prob": 0.96789,
"name": "soccer",
"id": "3275f70c-10f4-4807-89ca-f166e8c3aa7c"
}
],
"Autograph": [
{
"prob": 0.97277,
"name": "not autograph",
"id": "5c1bb98b-cd69-42c9-ab2a-75e480ffa2b0"
}
]
},
"_tags_simple": [
"Card/Sport Card",
"front",
"soccer",
"not autograph"
],
"_ocr": {
"texts": [
{
"polygon": [
[
61.0,
60.0
],
[
159.0,
55.0
],
[
160.0,
76.0
],
[
61.0,
81.0
]
],
"text": "Tirest",
"prob": 0.8078048825263977
},
{
"polygon": [
[
519.0,
97.0
],
[
557.0,
97.0
],
[
557.0,
111.0
],
[
519.0,
111.0
]
],
"text": "SEFA",
"prob": 0.7368016839027405
},
{
"polygon": [
[
481.0,
113.0
],
[
597.0,
111.0
],
[
597.0,
129.0
],
[
482.0,
131.0
]
],
"text": "CHAMPIONS",
"prob": 0.9519932866096497
},
{
"polygon": [
[
508.0,
127.0
],
[
573.0,
129.0
],
[
572.0,
146.0
],
[
508.0,
144.0
]
],
"text": "LEAGUE,",
"prob": 0.8668462634086609
},
{
"polygon": [
[
207.0,
300.0
],
[
372.0,
307.0
],
[
370.0,
363.0
],
[
205.0,
356.0
]
],
"text": "Red Bul",
"prob": 0.9309224486351013
},
{
"polygon": [
[
61.0,
712.0
],
[
250.0,
684.0
],
[
254.0,
719.0
],
[
66.0,
747.0
]
],
"text": "ERLING BRAUT",
"prob": 0.9668567180633545
},
{
"polygon": [
[
186.0,
753.0
],
[
370.0,
730.0
],
[
375.0,
773.0
],
[
191.0,
795.0
]
],
"text": "HAALAND",
"prob": 0.9960637092590332
},
{
"polygon": [
[
330.0,
786.0
],
[
471.0,
766.0
],
[
474.0,
788.0
],
[
333.0,
807.0
]
],
"text": "FC SALZBURG",
"prob": 0.9561893343925476
}
],
"full_text": "Tirest SEFA CHAMPIONS LEAGUE, Red Bul ERLING BRAUT HAALAND FC SALZBURG ",
"lang_name": "german",
"lang": "de"
},
"_identification": {
"best_match": {
"name": "ERLING BRAUT HAALAND",
"year": null,
"subcategory": "soccer"
}
}
},
{
"name": "Slab Label",
"id": "9242aeda-1a35-4c93-b75c-958af91e63a7",
"bound_box": [
205,
108,
868,
309
],
"prob": 0.7645022869110107,
"area": 0.0856886574074074,
"_tags": {
"Category": [
{
"prob": 0.97388,
"name": "PSA",
"id": "2f4545e7-08e4-492b-ab4e-02a409d58988"
}
]
},
"_tags_simple": [
"PSA"
],
"_ocr": {
"full_text": "#91 2019 FINESTUCL ERLING BRAUT HAALAND GEMMT 10 51974133 ",
"lang_name": "german",
"lang": "de"
},
"_identification": {
"best_match": {
"name": "2019 FINEST UEFA ERLING BRAUT HAALAND",
"grade": "10",
"year": "2019",
"certificate_number": "51974133"
}
}
}
]
}
],
"statistics": {
"processing time": 6.20737099647522
},
"status": {
"code": 200,
"text": "OK",
"request_id": "37d5842e-a6f1-443f-a2c4-6cafa5ed604b",
"proc_id": "189995ef-c1e0-4799-a35e-ad32f4730c81"
}
}
Slab ID
Given a list of image records, this method detects cards and slab labels, then extracts the label text using OCR.
Only one Slab Label
is detected per image. Each record in the response contains an _objects
list with the detected items, including:
bound_box
: position of the label_ocr
: extracted text and its position_tags
: metadata such as grading company (e.g.,PSA
,BECKETT
)_tags_simple
: simplified list of tags_identification
: structured details based on the AI's text analysis, such as card name, set, grade, card number, and certificate number
Supported companies include BECKETT, CGC, PSA, SGC, ACE, MANA, and TAG. Labels from other companies are categorized as OTHER
.
If you'd like to analyze labels from companies not yet supported, feel free to contact us at tech@ximilar.com.
Required attributes
- Name
records
- Type
- dict
- Max
- Maximum:10
- Description
A batch of JSON records (max 10). Each record represents a single image, defined by
_url
or_base64
.
Returns
HTTP error code 2XX, if the method was OK, and other HTTP error code, if the method failed. The response body is a JSON object (map) with the following fields:
- Name
records
- Type
- dict
- Description
JSON array with the input
records
, each record including fieldsSlab Label
and_objects
with_tags
and_ocr
.
- Name
status
- Type
- dict
- Description
A JSON map/dictionary with a status of the method processing. It contains these subfields:
code
(numeric code of the operation status; it follows the concept of HTTP status codes) andtext
(text describing the status code).
Request
curl https://api.ximilar.com/collectibles/v2/slab_id -H "Content-Type: application/json" -H "Authorization: Token __API_TOKEN__" -d '{
"records": [
{
"_url": "__PATH_TO_IMAGE_URL__"
}
]
}'
Response
{
"records": [
{
"_url": "https://images.ximilar.com/examples/demo/collectibles/pokemon.jpeg",
"_status": {
"code": 200,
"text": "OK",
"request_id": "7f10ec20-262e-4a05-93ce-399e0813ef1d"
},
"_id": "51750739-c7a3-4ad7-aa0f-28d9fa27d845",
"_objects": [
{
"name": "Slab Label",
"id": "9242aeda-1a35-4c93-b75c-958af91e63a7",
"bound_box": [
88,
22,
361,
131
],
"prob": 0.6562235951423645,
"area": 0.11607912588599226,
"Top Category": [
{
"id": "79425eda-c25b-48e3-a9de-0fe8303a4635",
"name": "Slab Label",
"prob": 1.0
}
],
"_tags": {
"Company": [
{
"prob": 0.9808,
"name": "PSA",
"id": "2f4545e7-08e4-492b-ab4e-02a409d58988"
}
],
"Side": [
{
"prob": 0.94674,
"name": "front",
"id": "6b41ebfc-cfbd-4f93-a9bf-bf54b357cafd"
}
],
"Category": [
{
"prob": 0.9808,
"name": "Slab Label/PSA",
"id": "2f4545e7-08e4-492b-ab4e-02a409d58988"
}
]
},
"_tags_simple": [
"PSA",
"front"
],
"_ocr": {
"texts": [
{
"polygon": [
[
236.0,
20.0
],
[
263.0,
20.0
],
[
263.0,
45.0
],
[
236.0,
45.0
]
],
"text": "#8",
"prob": 0.989625096321106
},
{
"polygon": [
[
4.0,
24.0
],
[
159.0,
24.0
],
[
159.0,
43.0
],
[
4.0,
43.0
]
],
"text": "POKEMON ROCKET",
"prob": 0.9793843030929565
},
{
"polygon": [
[
1.0,
42.0
],
[
167.0,
42.0
],
[
167.0,
61.0
],
[
1.0,
61.0
]
],
"text": "GYARADOS-HOLO",
"prob": 0.9837774038314819
},
{
"polygon": [
[
216.0,
41.0
],
[
263.0,
41.0
],
[
263.0,
62.0
],
[
216.0,
62.0
]
],
"text": "MINT",
"prob": 0.9965052604675293
},
{
"polygon": [
[
246.0,
59.0
],
[
263.0,
59.0
],
[
263.0,
81.0
],
[
246.0,
81.0
]
],
"text": "9",
"prob": 0.9890574812889099
},
{
"polygon": [
[
84.0,
73.0
],
[
131.0,
73.0
],
[
131.0,
102.0
],
[
84.0,
102.0
]
],
"text": "PA",
"prob": 0.9283953905105591
},
{
"polygon": [
[
178.0,
76.0
],
[
264.0,
76.0
],
[
264.0,
97.0
],
[
178.0,
97.0
]
],
"text": "48658983",
"prob": 0.9988992810249329
}
],
"full_text": "#8 POKEMON ROCKET GYARADOS-HOLO MINT 9 PA 48658983",
"lang_name": "english",
"lang": "en"
},
"_identification": {
"best_match": {
"name": "GYARADOS",
"brand": "POKEMON",
"verbal_grade": "MINT",
"grade": "9",
"year": null,
"card_no": "#8",
"certificate_number": "48658983",
"lang": null,
"set": "ROCKET",
"rarity": "HOLO",
"links": {
"psacard.com": "https://www.psacard.com/cert/48658983"
}
}
}
},
{
"name": "Card",
"id": "76fa9ec3-e0d9-408a-b582-55a1cd6712e0",
"bound_box": [
37,
164,
353,
618
],
"prob": 0.9187777042388916,
"area": 0.559638932557314,
"Top Category": [
{
"id": "8ae26c4a-ae79-4c01-9b54-ac4e2b42e914",
"name": "Card",
"prob": 1.0
}
]
}
],
"_width": 389,
"_height": 659
}
],
"status": {
"code": 200,
"text": "OK",
"request_id": "7f10ec20-262e-4a05-93ce-399e0813ef1d",
"proc_id": "125f4de8-94fc-46c2-a67b-7482b253a575"
},
"statistics": {
"processing time": 1.936791181564331
}
}
Slab Grade
Given a list of image records, this method returns detected objects (Card
, Slab Label
) with image recognition analysis.
The result Slab Label
object with _objects
(_tags
included), which represents location of the detected items
(and analysed features - Company
, Grade
, Side
). The Slab Label
object contains information about Company/Category
(BECKETT
, CGC
, PSA
, SGC
, MANA
, ACE
, TAG
, Other
), Grade and Side.
If you would like to analyse labels from company which we do not include, feel free to contact us at tech@ximilar.com
Required attributes
- Name
records
- Type
- dict
- Max
- Maximum:10
- Description
A batch of JSON records (max 10). Each record represents a single image, defined by
_url
or_base64
.
Returns
HTTP error code 2XX, if the method was OK, and other HTTP error code, if the method failed. The response body is a JSON object (map) with the following fields:
- Name
records
- Type
- dict
- Description
JSON array with the input
records
, each record enriched by fields,Slab Label
and_objects
with_tags
.
- Name
status
- Type
- dict
- Description
A JSON map/dictionary with a status of the method processing. It contains these subfields:
code
(numeric code of the operation status; it follows the concept of HTTP status codes) andtext
(text describing the status code).
Request
curl https://api.ximilar.com/collectibles/v2/slab_grade -H "Content-Type: application/json" -H "Authorization: Token __API_TOKEN__" -d '{
"records": [
{
"_url": "__PATH_TO_IMAGE_URL__"
}
]
}'
Response
{
"records": [
{
"_url": "https://images.ximilar.com/examples/demo/collectibles/pokemon.jpeg",
"_status": {
"code": 200,
"text": "OK",
"request_id": "ac414766-83e1-41f2-a589-7958c1fa9f23"
},
"_id": "1ee48bb5-e92f-44e7-90cd-72eb898b537e",
"_objects": [
{
"name": "Slab Label",
"id": "9242aeda-1a35-4c93-b75c-958af91e63a7",
"bound_box": [
88,
22,
361,
131
],
"prob": 0.6562235951423645,
"area": 0.11607912588599226,
"Top Category": [
{
"id": "79425eda-c25b-48e3-a9de-0fe8303a4635",
"name": "Slab Label",
"prob": 1.0
}
],
"_tags": {
"Company": [
{
"prob": 0.9808,
"name": "PSA",
"id": "2f4545e7-08e4-492b-ab4e-02a409d58988"
}
],
"Grade": [
{
"prob": 0.5204,
"name": "9",
"id": "445d621b-60c1-4e56-b33e-b82d2905ed9c"
}
],
"Side": [
{
"prob": 0.94674,
"name": "front",
"id": "6b41ebfc-cfbd-4f93-a9bf-bf54b357cafd"
}
]
},
"_tags_simple": [
"PSA",
"9",
"front"
]
},
{
"name": "Card",
"id": "76fa9ec3-e0d9-408a-b582-55a1cd6712e0",
"bound_box": [
37,
164,
353,
618
],
"prob": 0.9187777042388916,
"area": 0.559638932557314,
"Top Category": [
{
"id": "8ae26c4a-ae79-4c01-9b54-ac4e2b42e914",
"name": "Card",
"prob": 1.0
}
]
}
],
"Graded Slab": [
{
"prob": 0.9806,
"name": "yes",
"id": "9d7bf709-dfbc-4595-91be-a9d779b5f33c"
},
{
"prob": 0.0194,
"name": "no",
"id": "3a532911-7d7c-4b9b-8442-f0f293952be6"
}
],
"_width": 389,
"_height": 659
}
],
"status": {
"code": 200,
"text": "OK",
"request_id": "ac414766-83e1-41f2-a589-7958c1fa9f23",
"proc_id": "39e6072b-8430-4821-9047-1fecbf807930"
},
"statistics": {
"processing time": 0.8551025390625
}
}
Collectibles Detection
Given a list of image records, this method detects collector's items in each image and returns them in the _objects
field,
which includes the location of the detected items.
This endpoint usually serves as a first step before using other endpoints
(e.g., /v2/tcg_id
) if you expect multiple cards in a single image.
Required attributes
- Name
records
- Type
- dict
- Max
- Maximum:10
- Description
A batch of JSON records (max 10). Each record represents a single image, defined by
_url
or_base64
.
Returns
HTTP error code 2XX, if the method was OK, and other HTTP error code, if the method failed. The response body is a JSON object (map) with the following fields:
- Name
records
- Type
- dict
- Description
JSON array with the input
records
, each record including_objects
.
- Name
status
- Type
- dict
- Description
A JSON map/dictionary with a status of the method processing. It contains these subfields:
code
(numeric code of the operation status; it follows the concept of HTTP status codes) andtext
(text describing the status code).
Request
curl https://api.ximilar.com/collectibles/v2/detect -H "Content-Type: application/json" -H "Authorization: Token __API_TOKEN__" -d '{
"records": [
{
"_url": "__PATH_TO_IMAGE_URL__"
}
]
}'
Response
{
"records": [
{
"_url": "__IMAGE_URL__",
"_status": {
"code": 200,
"text": "OK",
"request_id": "1e459b5d-8bed-4d9a-8647-fc1c99997875"
},
"_id": "ebb627dd-e859-4677-83cf-612032d2ebb9",
"_objects": [
{
"name": "Card",
"id": "76fa9ec3-e0d9-408a-b582-55a1cd6712e0",
"bound_box": [
105,
348,
853,
1436
],
"prob": 0.9431861639022827,
"area": 0.5242204881844521,
"expand_by_bound_box": [
91,
327,
867,
1457
],
"Top Category": [
{
"id": "8ae26c4a-ae79-4c01-9b54-ac4e2b42e914",
"name": "Card",
"prob": 1.0
}
]
},
{
"name": "Slab Label",
"id": "9242aeda-1a35-4c93-b75c-958af91e63a7",
"bound_box": [
77,
32,
943,
249
],
"prob": 0.4136030375957489,
"area": 0.12104897690483277,
"expand_by_bound_box": [
60,
28,
960,
253
],
"Top Category": [
{
"id": "79425eda-c25b-48e3-a9de-0fe8303a4635",
"name": "Slab Label",
"prob": 1.0
}
]
}
],
"_width": 999,
"_height": 1554
}
],
"status": {
"code": 200,
"text": "OK",
"request_id": "1e459b5d-8bed-4d9a-8647-fc1c99997875",
"proc_id": "219ad5f2-ad11-440c-b337-4f78f304e47b"
},
"statistics": {
"processing time": 2.1185216903686523
}
}
Collectibles Process
Given a list of image records, this method detects collector's items and provides basic classification for each.
The response includes an _objects
field with the location of detected items and their basic tags.
This method is useful for quickly obtaining general information about collectible items in your images.
Required attributes
- Name
records
- Type
- dict
- Max
- Maximum:10
- Description
A batch of JSON records (max 10). Each record represents a single image, defined by
_url
or_base64
.
Returns
HTTP error code 2XX, if the method was OK, and other HTTP error code, if the method failed. The response body is a JSON object (map) with the following fields:
- Name
records
- Type
- dict
- Description
JSON array with the input
records
, each record including_objects
with basic classification tags.
- Name
status
- Type
- dict
- Description
A JSON map/dictionary with a status of the method processing. It contains these subfields:
code
(numeric code of the operation status; it follows the concept of HTTP status codes) andtext
(text describing the status code).
Request
curl https://api.ximilar.com/collectibles/v2/process -H "Content-Type: application/json" -H "Authorization: Token __API_TOKEN__" -d '{
"records": [
{
"_url": "__PATH_TO_IMAGE_URL__"
}
]
}'
Response
{
"records": [
{
"_url": "https://images.ximilar.com/cards/onepiece/cn/OP09-001.jpg",
"_status": {
"code": 200,
"text": "OK",
"request_id": "2f7a8c8a-4e4a-4be8-96b8-02d20ed65872"
},
"_id": "8eed3a87-4a69-4ff8-9bc0-4e2b441e27e1",
"_objects": [
{
"name": "Comics",
"id": "520eee19-2502-41a7-a1cf-23c6daf22138",
"bound_box": [
0,
22,
454,
536
],
"prob": 0.4676395058631897,
"area": 0.7968992248062016,
"Top Category": [
{
"id": "6abbefd9-5571-4915-a057-2fba3c3663a3",
"name": "Comics",
"prob": 1.0
},
{
"prob": 0.79917,
"name": "Comics",
"id": "6abbefd9-5571-4915-a057-2fba3c3663a3"
},
{
"prob": 0.19566,
"name": "Card",
"id": "8ae26c4a-ae79-4c01-9b54-ac4e2b42e914"
},
{
"prob": 0.00172,
"name": "Banknote",
"id": "4ac768f6-9c4e-4bf8-b92f-dcaaa56d5bba"
},
{
"prob": 0.00124,
"name": "Stamp",
"id": "9e63f733-5f30-4a9e-b79c-6bdbbd67a1c3"
},
{
"prob": 0.00114,
"name": "Coin",
"id": "2a5473c4-0e8b-46a7-b46e-c84ccb5ee61d"
},
{
"prob": 0.00109,
"name": "Slab Label",
"id": "79425eda-c25b-48e3-a9de-0fe8303a4635"
}
],
"_tags": {
"Category": [
{
"prob": 0.8401,
"name": "Standard",
"id": "f2207ac1-df31-4d8c-a16d-5a88c3d083c4"
}
],
"Graded": [
{
"prob": 0.97925,
"name": "no",
"id": "3a532911-7d7c-4b9b-8442-f0f293952be6"
}
]
},
"_tags_simple": [
"Standard"
]
}
],
"Graded Slab": [
{
"prob": 0.97925,
"name": "no",
"id": "3a532911-7d7c-4b9b-8442-f0f293952be6"
},
{
"prob": 0.02075,
"name": "yes",
"id": "9d7bf709-dfbc-4595-91be-a9d779b5f33c"
}
],
"_width": 454,
"_height": 645
}
],
"status": {
"code": 200,
"text": "OK",
"request_id": "2f7a8c8a-4e4a-4be8-96b8-02d20ed65872",
"proc_id": "1d780fa2-c050-4232-9fe0-c0ccd09556f2"
},
"statistics": {
"processing time": 0.4002256393432617
}
}
Collectibles Analyze
Given a list of image records, this method provides a complete analysis of collector's items in each image.
The response includes an _objects
field with the location of detected items, their basic tags, and detailed identification.
It combines detection, classification, and identification in a single call and is best suited for mixed or unspecified collectibles.
If you already know the collectible type, we recommend using a specialized endpoint such as
TCG ID, Sports ID,
or Comics ID for more accurate results.
Required attributes
- Name
records
- Type
- dict
- Max
- Maximum:10
- Description
A batch of JSON records (max 10). Each record represents a single image, defined by
_url
or_base64
.
Returns
HTTP error code 2XX, if the method was OK, and other HTTP error code, if the method failed. The response body is a JSON object (map) with the following fields:
- Name
records
- Type
- dict
- Description
JSON array with the input
records
, each record including_objects
with complete analysis including detection, classification tags, and identification.
- Name
status
- Type
- dict
- Description
A JSON map/dictionary with a status of the method processing. It contains these subfields:
code
(numeric code of the operation status; it follows the concept of HTTP status codes) andtext
(text describing the status code).
Request
curl --location 'https://api.ximilar.com/collectibles/v2/analyze' \
--header 'Authorization: Token __API_TOKEN__' \
--header 'Content-Type: application/json' \
--data '{
"records": [
{
"_url": "https://images.ximilar.com/examples/cards/pokemon.jpeg"
}
]
}'
Response
{
"records": [
{
"_url": "https://images.ximilar.com/examples/cards/pokemon.jpeg",
"_status": {
"code": 200,
"text": "OK",
"request_id": "45b4720e-a44d-407b-9b3c-7a3457b4684b"
},
"_id": "06d50c80-ed8f-46da-965f-c6f9c8da501a",
"_width": 389,
"_height": 659,
"_objects": [
{
"name": "Card",
"id": "76fa9ec3-e0d9-408a-b582-55a1cd6712e0",
"bound_box": [
38,
168,
348,
610
],
"prob": 0.9661753177642822,
"area": 0.5345015233020352,
"Top Category": [
{
"id": "8ae26c4a-ae79-4c01-9b54-ac4e2b42e914",
"name": "Card",
"prob": 1.0
}
],
"_tags": {
"Category": [
{
"prob": 0.99414,
"name": "Card/Trading Card Game",
"id": "d44efa56-09c3-4829-b3e7-226fe9cfe798"
}
],
"Side": [
{
"prob": 0.99668,
"name": "front",
"id": "b48a23fe-381e-4a67-b649-9839e1f7d5a7"
}
],
"Subcategory": [
{
"prob": 0.99871,
"name": "Pokemon",
"id": "fdbb3942-b7e0-476a-8f13-af77aedd13e6"
}
],
"Foil/Holo": [
{
"prob": 0.95741,
"name": "Foil/Holo",
"id": "f8ade5be-18f3-49d2-aa76-2431a16bd3f7"
}
],
"Rotation": [
{
"prob": 0.99891,
"name": "rotation_ok",
"id": "2cfa3525-1dc6-440f-9b0d-efcb297ccf37"
}
],
"Alphabet": [
{
"prob": 0.99669,
"name": "latin",
"id": "f0339837-aa0b-414f-acb8-d47d6ef3b7fa"
}
],
"Mark": [
{
"prob": 0.97037,
"name": "baseset",
"id": "4694fe52-7935-4294-be61-6d5ac7ae0326"
}
],
"Baseset": [
{
"prob": 0.99554,
"name": "1st+other-set",
"id": "9f6ea3ff-e2c2-45dd-85b3-ea466b855ed7"
}
],
"Graded": [
{
"prob": 0.9806,
"name": "yes",
"id": "9d7bf709-dfbc-4595-91be-a9d779b5f33c"
}
]
},
"_tags_simple": [
"Card/Trading Card Game",
"front",
"Pokemon",
"Foil/Holo",
"rotation_ok",
"latin",
"baseset",
"1st+other-set"
],
"_identification": {
"best_match": {
"year": 2000,
"name": "Dark Gyarados",
"color": "Water",
"set_code": "RO",
"type": "Pokemon",
"series": "Classic",
"rarity": "Rare Holo",
"out_of": "82",
"full_name": "Dark Gyarados Team Rocket (RO) #8",
"card_number": "8",
"set": "Team Rocket",
"subcategory": "Pokemon",
"links": {
"tcgplayer.com": "https://www.tcgplayer.com/product/84606",
"ebay.com": "https://www.ebay.com/sch/i.html?_nkw=Pokemon+Dark+Gyarados+RO+%238&_sacat=2536"
}
},
"alternatives": [
{
"year": 2000,
"name": "Dark Gyarados",
"color": "Water",
"set_code": "RO",
"type": "Pokemon",
"series": "Classic",
"rarity": "Rare",
"out_of": "82",
"full_name": "Dark Gyarados Team Rocket (RO) #25",
"card_number": "25",
"set": "Team Rocket",
"subcategory": "Pokemon",
"links": {
"tcgplayer.com": "https://www.tcgplayer.com/product/84607",
"ebay.com": "https://www.ebay.com/sch/i.html?_nkw=Pokemon+Dark+Gyarados+RO+%2325&_sacat=2536"
}
}
],
"distances": [
0.29548195,
0.3888334,
0.4670898,
0.89354664,
0.8944712
]
}
},
{
"name": "Slab Label",
"id": "9242aeda-1a35-4c93-b75c-958af91e63a7",
"bound_box": [
24,
22,
367,
127
],
"prob": 0.673100471496582,
"area": 0.1404909674625806,
"Top Category": [
{
"id": "79425eda-c25b-48e3-a9de-0fe8303a4635",
"name": "Slab Label",
"prob": 1.0
}
],
"_tags": {
"Company": [
{
"prob": 0.99291,
"name": "PSA",
"id": "2f4545e7-08e4-492b-ab4e-02a409d58988"
}
],
"Grade": [
{
"prob": 0.99389,
"name": "9",
"id": "5ae512e1-5296-4900-ac6d-3092b71d28e7"
}
],
"Side": [
{
"prob": 0.96665,
"name": "front",
"id": "6b41ebfc-cfbd-4f93-a9bf-bf54b357cafd"
}
],
"Graded": [
{
"prob": 0.9806,
"name": "yes",
"id": "9d7bf709-dfbc-4595-91be-a9d779b5f33c"
}
]
},
"_tags_simple": [
"PSA",
"9",
"front"
]
}
],
"Graded Slab": [
{
"prob": 0.9806,
"name": "yes",
"id": "9d7bf709-dfbc-4595-91be-a9d779b5f33c"
},
{
"prob": 0.0194,
"name": "no",
"id": "3a532911-7d7c-4b9b-8442-f0f293952be6"
}
]
}
],
"status": {
"code": 200,
"text": "OK",
"request_id": "45b4720e-a44d-407b-9b3c-7a3457b4684b",
"proc_id": "90cbe45c-6824-47c4-997e-28bbcbba7f3e"
},
"statistics": {
"processing time": 0.6064906120300293
}
}