Form Recognizer API (v2.1)

Form Recognizer extracts information from forms and images into structured data. It includes the following options:

  • Form - Extracts information from forms (PDFs and images) into structured data based on a model created from a set of representative training forms. Form Recognizer learns the structure of your forms to intelligently extract text and data. It ingests text from forms, applies machine learning technology to identify keys, tables, and fields, and then outputs structured data that includes the relationships within the original file.
  • Receipt - Detects and extracts data from receipts using optical character recognition (OCR) and our receipt model, enabling you to easily extract structured data from receipts such as merchant name, merchant phone number, transaction date, transaction total, and more.
  • Business Card - Detects and extracts data from business cards using optical character recognition (OCR) and our business card model, enabling you to easily extract structured data from business cards such as contact names, company names, phone numbers, emails, and more.
  • Layout - Extracts text and table structure from documents using optical character recognition (OCR).
  • Invoices - Detects and extracts data from invoices using optical character recognition (OCR) and our invoice understanding deep learning models, enabling you to easily extract structured data from invoices such as customer, vendor, invoice ID, invoice due date, total, invoice amount due, tax amount, ship to, bill to, line items and more.
  • ID Documents - Detects and extracts data from identification documents using optical character recognition (OCR) and our ID document model, enabling you to easily extract structured data from ID documents such as first name, last name, date of birth, document number, and more.

Custom Form Model Management - List Custom Models

Get information about all custom models

Select the testing console in the region where you created your resource:

Open API testing console

Request URL

Request parameters

(optional)
string

Specify whether to return summary or full list of models.

Request headers

string
Subscription key which provides access to this API. Found in your Cognitive Services accounts.

Request body

Response 200

Success

{
  "summary": {
    "count": 0,
    "limit": 0,
    "lastUpdatedDateTime": "string"
  },
  "modelList": [
    {
      "modelId": "string",
      "status": "creating",
      "createdDateTime": "string",
      "lastUpdatedDateTime": "string"
    }
  ],
  "nextLink": "string"
}
{
  "description": "Response to the list custom models operation.",
  "type": "object",
  "properties": {
    "summary": {
      "description": "Summary of all trained custom models.",
      "type": "object",
      "required": [
        "count",
        "limit",
        "lastUpdatedDateTime"
      ],
      "properties": {
        "count": {
          "description": "Current count of trained custom models.",
          "type": "integer",
          "x-nullable": false
        },
        "limit": {
          "description": "Max number of models that can be trained for this subscription.",
          "type": "integer",
          "x-nullable": false
        },
        "lastUpdatedDateTime": {
          "format": "date-time",
          "description": "Date and time (UTC) when the summary is last updated.",
          "type": "string",
          "x-nullable": false
        }
      }
    },
    "modelList": {
      "description": "Collection of trained custom models.",
      "type": "array",
      "items": {
        "description": "Basic custom model information.",
        "type": "object",
        "required": [
          "modelId",
          "status",
          "createdDateTime",
          "lastUpdatedDateTime"
        ],
        "properties": {
          "modelId": {
            "description": "Model identifier.",
            "type": "string",
            "format": "uuid",
            "x-nullable": false
          },
          "status": {
            "description": "Status of the model.",
            "enum": [
              "creating",
              "ready",
              "invalid"
            ],
            "type": "string",
            "x-ms-enum": {
              "name": "ModelStatus",
              "modelAsString": false
            },
            "x-nullable": false
          },
          "createdDateTime": {
            "format": "date-time",
            "description": "Date and time (UTC) when the model was created.",
            "type": "string",
            "x-nullable": false
          },
          "lastUpdatedDateTime": {
            "format": "date-time",
            "description": "Date and time (UTC) when the status is last updated.",
            "type": "string",
            "x-nullable": false
          }
        }
      }
    },
    "nextLink": {
      "description": "Link to the next page of custom models.",
      "type": "string"
    }
  }
}

Response 500

Response entity accompanying non-successful responses containing additional details about the error.

Code samples

@ECHO OFF

curl -v -X GET "https://*.cognitiveservices.azure.com/formrecognizer/v2.1/custom/models?op=full"
-H "Ocp-Apim-Subscription-Key: {subscription key}"

--data-ascii "{body}" 

using System;
using System.Net.Http.Headers;
using System.Text;
using System.Net.Http;
using System.Web;

namespace CSHttpClientSample
{
    static class Program
    {
        static void Main()
        {
            MakeRequest();
            Console.WriteLine("Hit ENTER to exit...");
            Console.ReadLine();
        }
        
        static async void MakeRequest()
        {
            var client = new HttpClient();
            var queryString = HttpUtility.ParseQueryString(string.Empty);

            // Request headers
            client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", "{subscription key}");

            // Request parameters
            queryString["op"] = "full";
            var uri = "https://*.cognitiveservices.azure.com/formrecognizer/v2.1/custom/models?" + queryString;

            var response = await client.GetAsync(uri);
        }
    }
}	
// // This sample uses the Apache HTTP client from HTTP Components (http://hc.apache.org/httpcomponents-client-ga/)
import java.net.URI;
import org.apache.http.HttpEntity;
import org.apache.http.HttpResponse;
import org.apache.http.client.HttpClient;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.client.utils.URIBuilder;
import org.apache.http.impl.client.HttpClients;
import org.apache.http.util.EntityUtils;

public class JavaSample 
{
    public static void main(String[] args) 
    {
        HttpClient httpclient = HttpClients.createDefault();

        try
        {
            URIBuilder builder = new URIBuilder("https://*.cognitiveservices.azure.com/formrecognizer/v2.1/custom/models");

            builder.setParameter("op", "full");

            URI uri = builder.build();
            HttpGet request = new HttpGet(uri);
            request.setHeader("Ocp-Apim-Subscription-Key", "{subscription key}");


            // Request body
            StringEntity reqEntity = new StringEntity("{body}");
            request.setEntity(reqEntity);

            HttpResponse response = httpclient.execute(request);
            HttpEntity entity = response.getEntity();

            if (entity != null) 
            {
                System.out.println(EntityUtils.toString(entity));
            }
        }
        catch (Exception e)
        {
            System.out.println(e.getMessage());
        }
    }
}


<!DOCTYPE html>
<html>
<head>
    <title>JSSample</title>
    <script src="http://ajax.googleapis.com/ajax/libs/jquery/1.9.0/jquery.min.js"></script>
</head>
<body>

<script type="text/javascript">
    $(function() {
        var params = {
            // Request parameters
            "op": "full",
        };
      
        $.ajax({
            url: "https://*.cognitiveservices.azure.com/formrecognizer/v2.1/custom/models?" + $.param(params),
            beforeSend: function(xhrObj){
                // Request headers
                xhrObj.setRequestHeader("Ocp-Apim-Subscription-Key","{subscription key}");
            },
            type: "GET",
            // Request body
            data: "{body}",
        })
        .done(function(data) {
            alert("success");
        })
        .fail(function() {
            alert("error");
        });
    });
</script>
</body>
</html>

#import <Foundation/Foundation.h>

int main(int argc, const char * argv[])
{
    NSAutoreleasePool * pool = [[NSAutoreleasePool alloc] init];
    
    NSString* path = @"https://*.cognitiveservices.azure.com/formrecognizer/v2.1/custom/models";
    NSArray* array = @[
                         // Request parameters
                         @"entities=true",
                         @"op=full",
                      ];
    
    NSString* string = [array componentsJoinedByString:@"&"];
    path = [path stringByAppendingFormat:@"?%@", string];

    NSLog(@"%@", path);

    NSMutableURLRequest* _request = [NSMutableURLRequest requestWithURL:[NSURL URLWithString:path]];
    [_request setHTTPMethod:@"GET"];
    // Request headers
    [_request setValue:@"{subscription key}" forHTTPHeaderField:@"Ocp-Apim-Subscription-Key"];
    // Request body
    [_request setHTTPBody:[@"{body}" dataUsingEncoding:NSUTF8StringEncoding]];
    
    NSURLResponse *response = nil;
    NSError *error = nil;
    NSData* _connectionData = [NSURLConnection sendSynchronousRequest:_request returningResponse:&response error:&error];

    if (nil != error)
    {
        NSLog(@"Error: %@", error);
    }
    else
    {
        NSError* error = nil;
        NSMutableDictionary* json = nil;
        NSString* dataString = [[NSString alloc] initWithData:_connectionData encoding:NSUTF8StringEncoding];
        NSLog(@"%@", dataString);
        
        if (nil != _connectionData)
        {
            json = [NSJSONSerialization JSONObjectWithData:_connectionData options:NSJSONReadingMutableContainers error:&error];
        }
        
        if (error || !json)
        {
            NSLog(@"Could not parse loaded json with error:%@", error);
        }
        
        NSLog(@"%@", json);
        _connectionData = nil;
    }
    
    [pool drain];

    return 0;
}

<?php
// This sample uses the Apache HTTP client from HTTP Components (http://hc.apache.org/httpcomponents-client-ga/)
require_once 'HTTP/Request2.php';

$request = new Http_Request2('https://*.cognitiveservices.azure.com/formrecognizer/v2.1/custom/models');
$url = $request->getUrl();

$headers = array(
    // Request headers
    'Ocp-Apim-Subscription-Key' => '{subscription key}',
);

$request->setHeader($headers);

$parameters = array(
    // Request parameters
    'op' => 'full',
);

$url->setQueryVariables($parameters);

$request->setMethod(HTTP_Request2::METHOD_GET);

// Request body
$request->setBody("{body}");

try
{
    $response = $request->send();
    echo $response->getBody();
}
catch (HttpException $ex)
{
    echo $ex;
}

?>
########### Python 2.7 #############
import httplib, urllib, base64

headers = {
    # Request headers
    'Ocp-Apim-Subscription-Key': '{subscription key}',
}

params = urllib.urlencode({
    # Request parameters
    'op': 'full',
})

try:
    conn = httplib.HTTPSConnection('*.cognitiveservices.azure.com')
    conn.request("GET", "/formrecognizer/v2.1/custom/models?%s" % params, "{body}", headers)
    response = conn.getresponse()
    data = response.read()
    print(data)
    conn.close()
except Exception as e:
    print("[Errno {0}] {1}".format(e.errno, e.strerror))

####################################

########### Python 3.2 #############
import http.client, urllib.request, urllib.parse, urllib.error, base64

headers = {
    # Request headers
    'Ocp-Apim-Subscription-Key': '{subscription key}',
}

params = urllib.parse.urlencode({
    # Request parameters
    'op': 'full',
})

try:
    conn = http.client.HTTPSConnection('*.cognitiveservices.azure.com')
    conn.request("GET", "/formrecognizer/v2.1/custom/models?%s" % params, "{body}", headers)
    response = conn.getresponse()
    data = response.read()
    print(data)
    conn.close()
except Exception as e:
    print("[Errno {0}] {1}".format(e.errno, e.strerror))

####################################
require 'net/http'

uri = URI('https://*.cognitiveservices.azure.com/formrecognizer/v2.1/custom/models')
uri.query = URI.encode_www_form({
    # Request parameters
    'op' => 'full'
})

request = Net::HTTP::Get.new(uri.request_uri)
# Request headers
request['Ocp-Apim-Subscription-Key'] = '{subscription key}'
# Request body
request.body = "{body}"

response = Net::HTTP.start(uri.host, uri.port, :use_ssl => uri.scheme == 'https') do |http|
    http.request(request)
end

puts response.body