curl --request POST \
  --url https://api.private-ai.com/deid/v3/process/files/base64 \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: <api-key>' \
  --data '
{
  "file": {
    "data": "JVBERi0xLjQKJdPr6eEKMSAwIG9iago8PC9UaXRsZSAoc2FtcGxlKQovUHJvZHVj...",
    "content_type": "application/pdf or image/jpeg"
  },
  "entity_detection": {
    "accuracy": "high",
    "return_entity": true
  },
  "pdf_options": {
    "density": 150
  },
  "audio_options": {
    "bleep_start_padding": 0,
    "bleep_end_padding": 0
  }
}
'

import requests

url = "https://api.private-ai.com/deid/v3/process/files/base64"

payload = {
    "file": {
        "data": "JVBERi0xLjQKJdPr6eEKMSAwIG9iago8PC9UaXRsZSAoc2FtcGxlKQovUHJvZHVj...",
        "content_type": "application/pdf or image/jpeg"
    },
    "entity_detection": {
        "accuracy": "high",
        "return_entity": True
    },
    "pdf_options": { "density": 150 },
    "audio_options": {
        "bleep_start_padding": 0,
        "bleep_end_padding": 0
    }
}
headers = {
    "x-api-key": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    file: {
      data: 'JVBERi0xLjQKJdPr6eEKMSAwIG9iago8PC9UaXRsZSAoc2FtcGxlKQovUHJvZHVj...',
      content_type: 'application/pdf or image/jpeg'
    },
    entity_detection: {accuracy: 'high', return_entity: true},
    pdf_options: {density: 150},
    audio_options: {bleep_start_padding: 0, bleep_end_padding: 0}
  })
};

fetch('https://api.private-ai.com/deid/v3/process/files/base64', 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://api.private-ai.com/deid/v3/process/files/base64",
  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([
    'file' => [
        'data' => 'JVBERi0xLjQKJdPr6eEKMSAwIG9iago8PC9UaXRsZSAoc2FtcGxlKQovUHJvZHVj...',
        'content_type' => 'application/pdf or image/jpeg'
    ],
    'entity_detection' => [
        'accuracy' => 'high',
        'return_entity' => true
    ],
    'pdf_options' => [
        'density' => 150
    ],
    'audio_options' => [
        'bleep_start_padding' => 0,
        'bleep_end_padding' => 0
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "x-api-key: <api-key>"
  ],
]);

$response = curl_exec($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://api.private-ai.com/deid/v3/process/files/base64"

	payload := strings.NewReader("{\n  \"file\": {\n    \"data\": \"JVBERi0xLjQKJdPr6eEKMSAwIG9iago8PC9UaXRsZSAoc2FtcGxlKQovUHJvZHVj...\",\n    \"content_type\": \"application/pdf or image/jpeg\"\n  },\n  \"entity_detection\": {\n    \"accuracy\": \"high\",\n    \"return_entity\": true\n  },\n  \"pdf_options\": {\n    \"density\": 150\n  },\n  \"audio_options\": {\n    \"bleep_start_padding\": 0,\n    \"bleep_end_padding\": 0\n  }\n}")

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

	req.Header.Add("x-api-key", "<api-key>")
	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://api.private-ai.com/deid/v3/process/files/base64")
  .header("x-api-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"file\": {\n    \"data\": \"JVBERi0xLjQKJdPr6eEKMSAwIG9iago8PC9UaXRsZSAoc2FtcGxlKQovUHJvZHVj...\",\n    \"content_type\": \"application/pdf or image/jpeg\"\n  },\n  \"entity_detection\": {\n    \"accuracy\": \"high\",\n    \"return_entity\": true\n  },\n  \"pdf_options\": {\n    \"density\": 150\n  },\n  \"audio_options\": {\n    \"bleep_start_padding\": 0,\n    \"bleep_end_padding\": 0\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.private-ai.com/deid/v3/process/files/base64")

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

request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"file\": {\n    \"data\": \"JVBERi0xLjQKJdPr6eEKMSAwIG9iago8PC9UaXRsZSAoc2FtcGxlKQovUHJvZHVj...\",\n    \"content_type\": \"application/pdf or image/jpeg\"\n  },\n  \"entity_detection\": {\n    \"accuracy\": \"high\",\n    \"return_entity\": true\n  },\n  \"pdf_options\": {\n    \"density\": 150\n  },\n  \"audio_options\": {\n    \"bleep_start_padding\": 0,\n    \"bleep_end_padding\": 0\n  }\n}"

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

{
  "processed_file": "<string>",
  "processed_text": "<string>",
  "entities": [
    {
      "processed_text": "<string>",
      "text": "<string>",
      "location": {
        "stt_idx": 123,
        "end_idx": 123,
        "stt_idx_processed": 123,
        "end_idx_processed": 123
      },
      "best_label": "<string>",
      "labels": {}
    }
  ],
  "entities_present": true
}

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