curl --request POST \
  --url https://platform.aifano.com/parse_async \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "input": "<string>",
  "async": {
    "priority": false,
    "webhook": {
      "url": "<string>"
    },
    "metadata": "<unknown>"
  },
  "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/parse_async"

payload = {
    "input": "<string>",
    "async": {
        "priority": False,
        "webhook": { "url": "<string>" },
        "metadata": "<unknown>"
    },
    "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>',
    async: {priority: false, webhook: {url: '<string>'}, metadata: '<unknown>'},
    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/parse_async', 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/parse_async",
  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>',
    'async' => [
        'priority' => false,
        'webhook' => [
                'url' => '<string>'
        ],
        'metadata' => '<unknown>'
    ],
    '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/parse_async"

	payload := strings.NewReader("{\n  \"input\": \"<string>\",\n  \"async\": {\n    \"priority\": false,\n    \"webhook\": {\n      \"url\": \"<string>\"\n    },\n    \"metadata\": \"<unknown>\"\n  },\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}")

	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/parse_async")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"input\": \"<string>\",\n  \"async\": {\n    \"priority\": false,\n    \"webhook\": {\n      \"url\": \"<string>\"\n    },\n    \"metadata\": \"<unknown>\"\n  },\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}")
  .asString();

require 'uri'
require 'net/http'

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

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  \"async\": {\n    \"priority\": false,\n    \"webhook\": {\n      \"url\": \"<string>\"\n    },\n    \"metadata\": \"<unknown>\"\n  },\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}"

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

{
  "job_id": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

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