├── C#
    └── C#QuickStart.cs
├── Java
    └── JavaQuickStart.java
├── Python
    └── PythonQuickStart.py
└── README.md


/C#/C#QuickStart.cs:
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 1 | var client = new HttpClient();
 2 | var request = new HttpRequestMessage
 3 | {
 4 |     Method = HttpMethod.Post,
 5 |     RequestUri = new Uri("https://document-scanner.p.rapidapi.com/DetectDocument"),
 6 |     Headers =
 7 |     {
 8 |         { "x-rapidapi-key", "API KEY" },
 9 |         { "x-rapidapi-host", "document-scanner.p.rapidapi.com" },
10 |     },
11 | };
12 | using (var response = await client.SendAsync(request))
13 | {
14 |     response.EnsureSuccessStatusCode();
15 |     var body = await response.Content.ReadAsStringAsync();
16 |     Console.WriteLine(body);
17 | }
18 | 


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/Java/JavaQuickStart.java:
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1 | HttpRequest request = HttpRequest.newBuilder()
2 | 		.uri(URI.create("https://document-scanner.p.rapidapi.com/DetectDocument"))
3 | 		.header("x-rapidapi-key", "API KEY")
4 | 		.header("x-rapidapi-host", "document-scanner.p.rapidapi.com")
5 | 		.method("POST", HttpRequest.BodyPublishers.noBody())
6 | 		.build();
7 | HttpResponse<String> response = HttpClient.newHttpClient().send(request, HttpResponse.BodyHandlers.ofString());
8 | System.out.println(response.body());
9 | 


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/Python/PythonQuickStart.py:
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 1 | import requests (in Rapidapi.com)
 2 | 
 3 |   api_url = 'https://document-detection.p.rapidapi.com/DetectDocument'
 4 |   api_key = 'Your API Key'
 5 | 
 6 |   image_path = 'Image directory path'
 7 |   image_name = 'Image name'
 8 | 
 9 |   files = {'image': (image_name, open(image_path + image_name, 'rb'), 'multipart/form-data')}
10 |   header = {
11 |       "x-rapidapi-host": "document-detection.p.rapidapi.com",
12 |       "x-rapidapi-key": api_key
13 |       }
14 |   response = requests.post(api_url, files=files, headers=header)
15 | 


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/README.md:
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 1 | ### Document Scanner
 2 | PresentID Document scanner API localizes document images with various distortion types from a single input image.
 3 | 
 4 | 
 5 | 
 6 | **Input:**
 7 | - Image file
 8 | - Image URL link
 9 | - Base64 image
10 | 
11 | **Output:**
12 | - Base64 image
13 | - Status message
14 | 
15 | **Features:**
16 | - Less than 1.5 seconds on CPU core i7.
17 | - Perfect detection on a salient document in the image.
18 | - Support IOS, Android, Windows and Mac devices.
19 | - Easy integration with your app.
20 | 
21 | **Use Cases:**
22 | - To create PDF files and notes and books.
23 | - Ease of separating text in images.
24 | 
25 | **Rules & Restrictions:**
26 | - Send data via Base64 or an image URL or an image file.
27 | - Image size should not exceed 8 MB.
28 | - Also, the images should not be larger than 5000 pixels and smaller than 50 pixels.
29 | 
30 | ## Freetry in RapidAPI
31 | https://rapidapi.com/PresentID/api/document-scanner
32 | 


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