curl --request POST \
  --url https://aigw.portkey.ai/v1/ocr \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "document": {
    "document_url": "<string>",
    "image_url": "<string>"
  },
  "include_image_base64": false,
  "image_limit": 2,
  "image_min_size": 2,
  "pages": [
    123
  ]
}
'

import requests

url = "https://aigw.portkey.ai/v1/ocr"

payload = {
    "model": "<string>",
    "document": {
        "document_url": "<string>",
        "image_url": "<string>"
    },
    "include_image_base64": False,
    "image_limit": 2,
    "image_min_size": 2,
    "pages": [123]
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: '<string>',
    document: {document_url: '<string>', image_url: '<string>'},
    include_image_base64: false,
    image_limit: 2,
    image_min_size: 2,
    pages: [123]
  })
};

fetch('https://aigw.portkey.ai/v1/ocr', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://aigw.portkey.ai/v1/ocr",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'model' => '<string>',
    'document' => [
        'document_url' => '<string>',
        'image_url' => '<string>'
    ],
    'include_image_base64' => false,
    'image_limit' => 2,
    'image_min_size' => 2,
    'pages' => [
        123
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://aigw.portkey.ai/v1/ocr"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"document\": {\n    \"document_url\": \"<string>\",\n    \"image_url\": \"<string>\"\n  },\n  \"include_image_base64\": false,\n  \"image_limit\": 2,\n  \"image_min_size\": 2,\n  \"pages\": [\n    123\n  ]\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://aigw.portkey.ai/v1/ocr")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"document\": {\n    \"document_url\": \"<string>\",\n    \"image_url\": \"<string>\"\n  },\n  \"include_image_base64\": false,\n  \"image_limit\": 2,\n  \"image_min_size\": 2,\n  \"pages\": [\n    123\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://aigw.portkey.ai/v1/ocr")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"model\": \"<string>\",\n  \"document\": {\n    \"document_url\": \"<string>\",\n    \"image_url\": \"<string>\"\n  },\n  \"include_image_base64\": false,\n  \"image_limit\": 2,\n  \"image_min_size\": 2,\n  \"pages\": [\n    123\n  ]\n}"

response = http.request(request)
puts response.read_body

{
  "pages": [
    {
      "index": 123,
      "markdown": "<string>",
      "images": [
        {
          "id": "<string>",
          "image_base64": "<string>"
        }
      ]
    }
  ],
  "model": "<string>",
  "usage_info": {
    "pages_processed": 123
  }
}