curl --request POST \
  --url https://platform.aifano.com/extract \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "input": "<string>",
  "schema": {},
  "system_prompt": "<string>",
  "parsing": {
    "enhance": {
      "agentic": [],
      "summarize_figures": true
    },
    "retrieval": {
      "chunking": {
        "chunk_mode": "disabled",
        "chunk_size": 123
      },
      "filter_blocks": [],
      "embedding_optimized": false
    },
    "formatting": {
      "add_page_markers": false,
      "table_output_format": "dynamic",
      "merge_tables": false,
      "include": []
    },
    "spreadsheet": {
      "split_large_tables": {
        "enabled": true,
        "size": 50
      },
      "clustering": "accurate"
    },
    "settings": {
      "ocr_system": "standard",
      "extraction_mode": "hybrid",
      "force_url_result": false,
      "return_ocr_data": false,
      "return_images": [],
      "page_range": {
        "start": 123,
        "end": 123
      },
      "timeout": 123,
      "document_password": "<string>"
    }
  }
}
'

import requests

url = "https://platform.aifano.com/extract"

payload = {
    "input": "<string>",
    "schema": {},
    "system_prompt": "<string>",
    "parsing": {
        "enhance": {
            "agentic": [],
            "summarize_figures": True
        },
        "retrieval": {
            "chunking": {
                "chunk_mode": "disabled",
                "chunk_size": 123
            },
            "filter_blocks": [],
            "embedding_optimized": False
        },
        "formatting": {
            "add_page_markers": False,
            "table_output_format": "dynamic",
            "merge_tables": False,
            "include": []
        },
        "spreadsheet": {
            "split_large_tables": {
                "enabled": True,
                "size": 50
            },
            "clustering": "accurate"
        },
        "settings": {
            "ocr_system": "standard",
            "extraction_mode": "hybrid",
            "force_url_result": False,
            "return_ocr_data": False,
            "return_images": [],
            "page_range": {
                "start": 123,
                "end": 123
            },
            "timeout": 123,
            "document_password": "<string>"
        }
    }
}
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({
    input: '<string>',
    schema: {},
    system_prompt: '<string>',
    parsing: {
      enhance: {agentic: [], summarize_figures: true},
      retrieval: {
        chunking: {chunk_mode: 'disabled', chunk_size: 123},
        filter_blocks: [],
        embedding_optimized: false
      },
      formatting: {
        add_page_markers: false,
        table_output_format: 'dynamic',
        merge_tables: false,
        include: []
      },
      spreadsheet: {split_large_tables: {enabled: true, size: 50}, clustering: 'accurate'},
      settings: {
        ocr_system: 'standard',
        extraction_mode: 'hybrid',
        force_url_result: false,
        return_ocr_data: false,
        return_images: [],
        page_range: {start: 123, end: 123},
        timeout: 123,
        document_password: '<string>'
      }
    }
  })
};

fetch('https://platform.aifano.com/extract', 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://platform.aifano.com/extract",
  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([
    'input' => '<string>',
    'schema' => [
        
    ],
    'system_prompt' => '<string>',
    'parsing' => [
        'enhance' => [
                'agentic' => [
                                
                ],
                'summarize_figures' => true
        ],
        'retrieval' => [
                'chunking' => [
                                'chunk_mode' => 'disabled',
                                'chunk_size' => 123
                ],
                'filter_blocks' => [
                                
                ],
                'embedding_optimized' => false
        ],
        'formatting' => [
                'add_page_markers' => false,
                'table_output_format' => 'dynamic',
                'merge_tables' => false,
                'include' => [
                                
                ]
        ],
        'spreadsheet' => [
                'split_large_tables' => [
                                'enabled' => true,
                                'size' => 50
                ],
                'clustering' => 'accurate'
        ],
        'settings' => [
                'ocr_system' => 'standard',
                'extraction_mode' => 'hybrid',
                'force_url_result' => false,
                'return_ocr_data' => false,
                'return_images' => [
                                
                ],
                'page_range' => [
                                'start' => 123,
                                'end' => 123
                ],
                'timeout' => 123,
                'document_password' => '<string>'
        ]
    ]
  ]),
  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://platform.aifano.com/extract"

	payload := strings.NewReader("{\n  \"input\": \"<string>\",\n  \"schema\": {},\n  \"system_prompt\": \"<string>\",\n  \"parsing\": {\n    \"enhance\": {\n      \"agentic\": [],\n      \"summarize_figures\": true\n    },\n    \"retrieval\": {\n      \"chunking\": {\n        \"chunk_mode\": \"disabled\",\n        \"chunk_size\": 123\n      },\n      \"filter_blocks\": [],\n      \"embedding_optimized\": false\n    },\n    \"formatting\": {\n      \"add_page_markers\": false,\n      \"table_output_format\": \"dynamic\",\n      \"merge_tables\": false,\n      \"include\": []\n    },\n    \"spreadsheet\": {\n      \"split_large_tables\": {\n        \"enabled\": true,\n        \"size\": 50\n      },\n      \"clustering\": \"accurate\"\n    },\n    \"settings\": {\n      \"ocr_system\": \"standard\",\n      \"extraction_mode\": \"hybrid\",\n      \"force_url_result\": false,\n      \"return_ocr_data\": false,\n      \"return_images\": [],\n      \"page_range\": {\n        \"start\": 123,\n        \"end\": 123\n      },\n      \"timeout\": 123,\n      \"document_password\": \"<string>\"\n    }\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://platform.aifano.com/extract")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"input\": \"<string>\",\n  \"schema\": {},\n  \"system_prompt\": \"<string>\",\n  \"parsing\": {\n    \"enhance\": {\n      \"agentic\": [],\n      \"summarize_figures\": true\n    },\n    \"retrieval\": {\n      \"chunking\": {\n        \"chunk_mode\": \"disabled\",\n        \"chunk_size\": 123\n      },\n      \"filter_blocks\": [],\n      \"embedding_optimized\": false\n    },\n    \"formatting\": {\n      \"add_page_markers\": false,\n      \"table_output_format\": \"dynamic\",\n      \"merge_tables\": false,\n      \"include\": []\n    },\n    \"spreadsheet\": {\n      \"split_large_tables\": {\n        \"enabled\": true,\n        \"size\": 50\n      },\n      \"clustering\": \"accurate\"\n    },\n    \"settings\": {\n      \"ocr_system\": \"standard\",\n      \"extraction_mode\": \"hybrid\",\n      \"force_url_result\": false,\n      \"return_ocr_data\": false,\n      \"return_images\": [],\n      \"page_range\": {\n        \"start\": 123,\n        \"end\": 123\n      },\n      \"timeout\": 123,\n      \"document_password\": \"<string>\"\n    }\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://platform.aifano.com/extract")

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  \"input\": \"<string>\",\n  \"schema\": {},\n  \"system_prompt\": \"<string>\",\n  \"parsing\": {\n    \"enhance\": {\n      \"agentic\": [],\n      \"summarize_figures\": true\n    },\n    \"retrieval\": {\n      \"chunking\": {\n        \"chunk_mode\": \"disabled\",\n        \"chunk_size\": 123\n      },\n      \"filter_blocks\": [],\n      \"embedding_optimized\": false\n    },\n    \"formatting\": {\n      \"add_page_markers\": false,\n      \"table_output_format\": \"dynamic\",\n      \"merge_tables\": false,\n      \"include\": []\n    },\n    \"spreadsheet\": {\n      \"split_large_tables\": {\n        \"enabled\": true,\n        \"size\": 50\n      },\n      \"clustering\": \"accurate\"\n    },\n    \"settings\": {\n      \"ocr_system\": \"standard\",\n      \"extraction_mode\": \"hybrid\",\n      \"force_url_result\": false,\n      \"return_ocr_data\": false,\n      \"return_images\": [],\n      \"page_range\": {\n        \"start\": 123,\n        \"end\": 123\n      },\n      \"timeout\": 123,\n      \"document_password\": \"<string>\"\n    }\n  }\n}"

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

{
  "job_id": "<string>",
  "result": {},
  "duration": 123,
  "usage": {
    "num_pages": 123,
    "credits": 123
  }
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

{
  "detail": [
    {
      "loc": [
        "<unknown>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}