natif.ai AI Document Automation Platform

Entdecken Sie alle Vorteile von unserer AI Document Automation Platform – einer der leistungsstärksten KI-Technologien zur automatisierten Verarbeitung von Dokumenten!

JETZT TESTEN

DEMO BUCHEN

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natif.ai AI Document Automation Platform

Entdecken Sie alle Vorteile von unserer AI Document Automation Platform – einer der leistungsstärksten KI-Technologien zur automatisierten Verarbeitung von Dokumenten!

JETZT TESTEN

Unsere Plattform

Entdecken Sie das Potenzial unserer leistungsstarken KI-Technologie und automatisieren Sie Ihre Dokumentenverarbeitung mit Leichtigkeit. Profitieren Sie von unserer Basistechnologie wie OCR, HTR, Pre-Processing (Splitting & Cropping), Klassifizierung und Datenextraktion.

Entdecken Sie das Potenzial unserer leistungsstarken KI-Technologie und automatisieren Sie Ihre Dokumentenprozesse mit Leichtigkeit.

So funktioniert natif.ai

Schicken Sie Ihre Dokumente aus bspw. Scans oder Mails über die API oder Make an natif.ai. Die Dokumente werden auf unserer Plattform verarbeitet und als strukturierte Daten zur Verfügung gestellt. Diese Daten können dann von Ihrem nachfolgenden System abgerufen werden.

Input

Processing

Output

Unsere Technologie

OCR & HTR

Splitting & Cropping

Klassifizierung

Extraktion

Auslesen mit höchster Präzision

Unsere hochmoderne OCR- (Optical Character Recognition) und HTR-Technologie (Handwritten Text Recognition) erkennt alle Inhalte auf den Dokumenten und liest den Text mit höchster Genauigkeit.
Auch komplexe Dokumente, zerknitterte Scans und handgeschriebene Formulare können durch unsere Technologie sehr exakt ausgelesen werden.

Unsere Technologie

OCR & HTR

Splitting & Cropping

Klassifizierung

Extraktion

Unsere KI-Modelle

Vortrainiertes Modell wählenNutzen Sie die große Auswahl an vorgefertigten KI-Modellen für unterschiedliche Dokumententypen.

Eigenes Modell trainierenErstellen Sie neue Modelle von Grund auf, um Ihre spezifischen Anforderungen zu erfüllen.

Vortrainiertes Modell verbessernOptimieren Sie unsere bestehenden KI-Modelle noch weiter mit Ihren eigenen Dokumenten.

Unsere
KI-Modelle

Vortrainiertes Modell wählenNutzen Sie die große Auswahl an vorgefertigten KI-Modellen für unterschiedliche Dokumententypen.

Eigenes Modell trainierenErstellen Sie neue Modelle von Grund auf, um Ihre spezifischen Anforderungen zu erfüllen.

Vortrainiertes Modell verbessernOptimieren Sie unsere bestehende KI-Modelle noch weiter mit Ihren eigenen Dokumenten.

Unsere Integrationen

Python

PHP

NodeJS

Java

using Newtonsoft.Json.Linq;

using (HttpClient httpClient = new HttpClient())
{
    string baseURL = "https://api.natif.ai";
    string workflow = "invoice_extraction";
    string apiKey = "<API_KEY>";    // TODO: Insert or load your API-key secret here
    string filePath = "<FILE_PATH>";    // TODO: Insert or load your file path here
    string lang = "de";

    string[] queryParams = { "include=extractions", "include=ocr" };
    string queryString = String.Join("&", queryParams);
    string query = baseURL + "/processing/" + workflow + "?" + queryString;

    using (HttpRequestMessage request = new HttpRequestMessage(new HttpMethod("POST"), query))
    {
        request.Headers.TryAddWithoutValidation("accept", "application/json");
        request.Headers.TryAddWithoutValidation("Authorization", "ApiKey " + apiKey);

        MultipartFormDataContent multipartContent = new MultipartFormDataContent();
        ByteArrayContent file1 = new ByteArrayContent(File.ReadAllBytes(filePath));
        multipartContent.Add(file1, "file", Path.GetFileName(filePath));
        multipartContent.Add(new StringContent("{\"language\": \"" + lang + "\"}"), "parameters");
        request.Content = multipartContent;

        HttpResponseMessage response = await httpClient.SendAsync(request);

        string responseString = await response.Content.ReadAsStringAsync();
        
        try
        {
            JObject responseJson = JObject.Parse(responseString);
            if ((responseJson["extractions"]["vendor"]["name"]).Type != JTokenType.Null)
            {
                JToken vendorName = responseJson["extractions"]["vendor"]["name"];
                Console.WriteLine("Vendor name: " + vendorName["value"].ToString());
                Console.WriteLine("Vendor name confidence: " + vendorName["confidence"].ToString());
            }
            else
            {
                Console.WriteLine("Vendor name could not be extracted");
            }
        }
        catch (Exception ex)
        {
            Console.WriteLine(responseString);
            Console.WriteLine(ex.Message);
            throw;
        }        
    }
}

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import json
import urllib.parse

import requests

NATIF_API_BASE_URL = "https://api.natif.ai"
API_KEY = "<API_KEY>"  # TODO: Insert or load your API-key secret here


def process_via_natif_api(file_path, workflow, language, include):
    # Encapsulates HTTP calls to the natif.ai processing API
    headers = {"Accept": "application/json", "Authorization": "ApiKey " + API_KEY}
    params = {"include": include}
    workflow_config = {"language": language}
    url = f"{NATIF_API_BASE_URL}/processing/{workflow}?{urllib.parse.urlencode(params, doseq=True)}"

    with open(file_path, "rb") as file:
        response = requests.post(
            url,
            headers=headers,
            data={"parameters": json.dumps(workflow_config)},
            files={"file": file},
        )
        if not response.ok:
            raise Exception(response.text)

        # ADVANCED: Retry logic for exceptionally long-running workflows
        while response.status_code == 202:
            processing_id = response.json()["processing_id"]
            RESULT_URI = f"${NATIF_API_BASE_URL}/processing/results/{processing_id}?{params}"
            url = RESULT_URI.format(
                processing_id=processing_id, params=urllib.parse.urlencode(params)
            )
            response = requests.get(url, headers=headers)

        return response.json()


if __name__ == "__main__":
    # Submit a file
    workflow = "invoice_extraction"
    file_path = "<FILE_PATH>"  # TODO: Insert or load your file path here
    lang = "de"
    include = ["extractions","ocr"]
    result = process_via_natif_api(file_path, workflow, lang, include)

    vendor_name = result.get("extractions", {}).get("vendor", {}).get("name")
    if vendor_name is not None:
        print("Vendor name:", vendor_name.get("value"))
        print("Vendor name confidence:", vendor_name.get("confidence"))
    else:
        print("Vendor name could not be extracted")

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<?php
$baseURL = "https://api.natif.ai";
$workflow = "invoice_extraction";
$apiKey = "<API_KEY>";   # TODO: Insert or load your API-key secret here
$filePath = "<FILE_PATH>";   # TODO: Insert or load your file path here
$lang = "de";

if (!file_exists($filePath)) {
    echo ("The file {$filePath} does not exist");
    return 1;
}

$data = array('include' => array('extractions', 'ocr'));
$params = http_build_query($data, '', '&');
$queryParams = preg_replace('/%5B(?:[0-9]|[1-9][0-9]+)%5D=/', '=', $params);

$ch = curl_init();
curl_setopt($ch, CURLOPT_URL, "{$baseURL}/processing/{$workflow}?{$queryParams}");
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_CUSTOMREQUEST, "POST");
curl_setopt($ch, CURLOPT_HTTPHEADER, [
    "Accept: application/json",
    "Authorization: ApiKey {$apiKey}",
    "Content-Type: multipart/form-data",
]);
curl_setopt($ch, CURLOPT_POSTFIELDS, [
    "file" => new CURLFile($filePath),
    "parameters" => "{\"language\": \"{$lang}\"}",
]);

$response = curl_exec($ch);
$httpcode = curl_getinfo($ch, CURLINFO_HTTP_CODE);
curl_close($ch);

if ($httpcode == 401) {
    echo ("Invalid credentials");
    return 1;
}

$json_data = json_decode($response, true);

$vendor_name = $json_data["extractions"]["vendor"]["name"] ?? false;
if ($vendor_name) {
    echo ("Vendor name: " . $vendor_name["value"] . "\n");
    echo ("Vendor name confidence: " . $vendor_name["confidence"] . "\n");
} else {
    echo ("Vendor name could not be extracted \n");
}

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const FormData = require('form-data');
const fs = require('fs');
const https = require('https');

const baseURL = 'https://api.natif.ai';
const workflow = 'invoice_extraction';
const apiKey = '<API_KEY>'; // TODO: Insert or load your API-key secret here
const filePath = '<FILE_PATH>'; // TODO: Insert or load your file path here
const lang = 'de';

const sendNatifRequest = (URL, filePath) => {
  const formData = new FormData();
  formData.append('file', fs.createReadStream(filePath));
  formData.append('parameters', `{"language": "${lang}"}`);

  const headers = {
    Accept: 'application/json',
    Authorization: `ApiKey ${apiKey}`,
    'content-type': formData.getHeaders()['content-type'],
  };

  const options = {
    method: 'POST',
    headers,
  };
  const request = https.request(URL, options);

  formData.pipe(request)

  request.on('error', error => {
    console.error(error);
  });

  request.on('response', response => {
    body = '';
    response.on('data', chunk => {
      body += chunk;
    });
    response.on('end', () => {
      const vendorName = JSON.parse(body).extractions.vendor.name;
      if (vendorName) {
        console.log(`Vendor name: ${vendorName.value}`);
        console.log(`Vendor name confidence: ${vendorName.confidence}`);
      } else {
        console.log('Vendor name could not be extracted');
      }      
    });
  });
}

const url = baseURL + '/processing/' + workflow;
const urlObj = new URL(url);
urlObj.searchParams.append('include', 'extractions');
urlObj.searchParams.append('include', 'ocr');

sendNatifRequest(urlObj, filePath);

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package com.natif;

import java.io.BufferedReader;
import java.io.FileInputStream;
import java.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.io.OutputStream;
import java.net.HttpURLConnection;
import java.net.URL;
import java.net.URLConnection;
import java.nio.charset.StandardCharsets;
import java.util.ArrayList;
import java.util.UUID;
import com.google.gson.*;

public class InvoiceExtraction {
    private static final String baseURL = "https://api.natif.ai";
    private static final String workflow = "invoice_extraction";
    private static final String apiKey = "<API_KEY>"; // TODO: Insert or load your API-key secret here
    private static final String filePath = "<FILE_PATH>"; // TODO: Insert or load your file path here
    private static final String lang = "de";

    private static final String EOL = "\r\n";

    private static String sendNatifRequest(String filePath, String workflow, ArrayList<String> params ) throws IOException {
        String queryParams = String.join("&", params);
        String responseString = "";
        try (FileInputStream file = new FileInputStream(filePath)) {
            String urlBase = baseURL + "/processing/%s?%s";
            HttpURLConnection con = (HttpURLConnection) new URL(String.format(urlBase, workflow, queryParams))
                    .openConnection();
            final String boundary = UUID.randomUUID().toString();
            con.setDoOutput(true);
            con.setRequestMethod("POST");
            con.setRequestProperty("Content-Type", "multipart/form-data; boundary=" + boundary);
            con.setRequestProperty("Accept", "application/json");
            con.setRequestProperty("Authorization", "ApiKey " + apiKey);
            try (OutputStream out = con.getOutputStream()) {
                out.write(("--" + boundary + EOL +
                        "Content-Disposition: form-data; name=\"file\"; " +
                        "filename=\"" + filePath + "\"" + EOL +
                        "Content-Type: " + URLConnection.guessContentTypeFromName(filePath) + EOL + EOL)
                        .getBytes(StandardCharsets.UTF_8));
                byte[] buffer = new byte[128];
                int size = -1;
                while (-1 != (size = file.read(buffer))) {
                    out.write(buffer, 0, size);
                }
                out.write((EOL + "--" + boundary + EOL +
                        "Content-Disposition: form-data; name=\"parameters\" " + EOL + EOL +
                        "{\"language\": \"" + lang + "\"}")
                        .getBytes(StandardCharsets.UTF_8));
                out.write((EOL + "--" + boundary + "--" + EOL).getBytes(StandardCharsets.UTF_8));
                out.flush();
                InputStream inputStream = con.getInputStream();
                BufferedReader bufferedReader = new BufferedReader(
                        new InputStreamReader(inputStream));
                StringBuilder response = new StringBuilder();
                String currentLine;

                while ((currentLine = bufferedReader.readLine()) != null)
                    response.append(currentLine);
                responseString = response.toString();
                bufferedReader.close();
            } finally {
                con.disconnect();
            }
            return responseString;
        }
    }

    public static void main(String[] args) throws IOException {
        ArrayList<String> params = new ArrayList<String>();
        params.add("include=extractions");
        params.add("include=ocr");
        String responseString = sendNatifRequest(filePath, workflow, params);
        Gson gson = new Gson();
        JsonObject responseJson = gson.fromJson(responseString, JsonObject.class);
        
        JsonObject extractions = responseJson.getAsJsonObject("extractions");
        JsonObject vendor = extractions.getAsJsonObject("vendor");
        JsonElement vendorElement = vendor.get("name");
        if (!(vendorElement instanceof JsonNull)) {
            String name = vendor.getAsJsonObject("name").get("value").getAsString();
            System.out.printf("Vendor name: %s\n", name);
            String confidence = vendor.getAsJsonObject("name").get("confidence").getAsString();
            System.out.printf("Vendor name confidence: %s\n", confidence);
        } else {
            System.out.println("Vendor name could not be extracted");
        }        
    }
}

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Rest API

Sie können unsere Technologie einfach über unsere Rest API integrieren – wir bieten die gängigen Programmiersprachen wie C#, PHP, Python, Java oder NodeJS an. Unsere Dokumentation führt Sie einfach durch die Integrationsprozesse. Wir unterstützen sowohl synchronen als auch asynchronen Daten-Transfer sowie eine ganze Reihe von Dateiformaten. Dies sind derzeit die Bildformate JPEG, PNG, BMMP, GIF, TIFF und das Dokumentenformat PDF.

Systeme

Unsere Technologie wurde bereits an viele Systeme erfolgreich angebunden und integriert. Ihr System ist nicht dabei? Kontaktieren Sie uns gerne!

KONTAKTIEREN

Systeme

System hinzufügen?

Unsere Integrationen

Rest API

Sie können unsere Technologie einfach über unsere Rest API integrieren – wir bieten die gängigen Programmiersprachen wie C#, PHP, Python, Java oder NodeJS an.

Python

PHP

NodeJS

Java

using Newtonsoft.Json.Linq;

using (HttpClient httpClient = new HttpClient())
{
    string baseURL = "https://api.natif.ai";
    string workflow = "invoice_extraction";
    string apiKey = "<API_KEY>";    // TODO: Insert or load your API-key secret here
    string filePath = "<FILE_PATH>";    // TODO: Insert or load your file path here
    string lang = "de";

    string[] queryParams = { "include=extractions", "include=ocr" };
    string queryString = String.Join("&", queryParams);
    string query = baseURL + "/processing/" + workflow + "?" + queryString;

    using (HttpRequestMessage request = new HttpRequestMessage(new HttpMethod("POST"), query))
    {
        request.Headers.TryAddWithoutValidation("accept", "application/json");
        request.Headers.TryAddWithoutValidation("Authorization", "ApiKey " + apiKey);

        MultipartFormDataContent multipartContent = new MultipartFormDataContent();
        ByteArrayContent file1 = new ByteArrayContent(File.ReadAllBytes(filePath));
        multipartContent.Add(file1, "file", Path.GetFileName(filePath));
        multipartContent.Add(new StringContent("{\"language\": \"" + lang + "\"}"), "parameters");
        request.Content = multipartContent;

        HttpResponseMessage response = await httpClient.SendAsync(request);

        string responseString = await response.Content.ReadAsStringAsync();
        
        try
        {
            JObject responseJson = JObject.Parse(responseString);
            if ((responseJson["extractions"]["vendor"]["name"]).Type != JTokenType.Null)
            {
                JToken vendorName = responseJson["extractions"]["vendor"]["name"];
                Console.WriteLine("Vendor name: " + vendorName["value"].ToString());
                Console.WriteLine("Vendor name confidence: " + vendorName["confidence"].ToString());
            }
            else
            {
                Console.WriteLine("Vendor name could not be extracted");
            }
        }
        catch (Exception ex)
        {
            Console.WriteLine(responseString);
            Console.WriteLine(ex.Message);
            throw;
        }        
    }
}

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import json
import urllib.parse

import requests

NATIF_API_BASE_URL = "https://api.natif.ai"
API_KEY = "<API_KEY>"  # TODO: Insert or load your API-key secret here


def process_via_natif_api(file_path, workflow, language, include):
    # Encapsulates HTTP calls to the natif.ai processing API
    headers = {"Accept": "application/json", "Authorization": "ApiKey " + API_KEY}
    params = {"include": include}
    workflow_config = {"language": language}
    url = f"{NATIF_API_BASE_URL}/processing/{workflow}?{urllib.parse.urlencode(params, doseq=True)}"

    with open(file_path, "rb") as file:
        response = requests.post(
            url,
            headers=headers,
            data={"parameters": json.dumps(workflow_config)},
            files={"file": file},
        )
        if not response.ok:
            raise Exception(response.text)

        # ADVANCED: Retry logic for exceptionally long-running workflows
        while response.status_code == 202:
            processing_id = response.json()["processing_id"]
            RESULT_URI = f"${NATIF_API_BASE_URL}/processing/results/{processing_id}?{params}"
            url = RESULT_URI.format(
                processing_id=processing_id, params=urllib.parse.urlencode(params)
            )
            response = requests.get(url, headers=headers)

        return response.json()


if __name__ == "__main__":
    # Submit a file
    workflow = "invoice_extraction"
    file_path = "<FILE_PATH>"  # TODO: Insert or load your file path here
    lang = "de"
    include = ["extractions","ocr"]
    result = process_via_natif_api(file_path, workflow, lang, include)

    vendor_name = result.get("extractions", {}).get("vendor", {}).get("name")
    if vendor_name is not None:
        print("Vendor name:", vendor_name.get("value"))
        print("Vendor name confidence:", vendor_name.get("confidence"))
    else:
        print("Vendor name could not be extracted")

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<?php
$baseURL = "https://api.natif.ai";
$workflow = "invoice_extraction";
$apiKey = "<API_KEY>";   # TODO: Insert or load your API-key secret here
$filePath = "<FILE_PATH>";   # TODO: Insert or load your file path here
$lang = "de";

if (!file_exists($filePath)) {
    echo ("The file {$filePath} does not exist");
    return 1;
}

$data = array('include' => array('extractions', 'ocr'));
$params = http_build_query($data, '', '&');
$queryParams = preg_replace('/%5B(?:[0-9]|[1-9][0-9]+)%5D=/', '=', $params);

$ch = curl_init();
curl_setopt($ch, CURLOPT_URL, "{$baseURL}/processing/{$workflow}?{$queryParams}");
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_CUSTOMREQUEST, "POST");
curl_setopt($ch, CURLOPT_HTTPHEADER, [
    "Accept: application/json",
    "Authorization: ApiKey {$apiKey}",
    "Content-Type: multipart/form-data",
]);
curl_setopt($ch, CURLOPT_POSTFIELDS, [
    "file" => new CURLFile($filePath),
    "parameters" => "{\"language\": \"{$lang}\"}",
]);

$response = curl_exec($ch);
$httpcode = curl_getinfo($ch, CURLINFO_HTTP_CODE);
curl_close($ch);

if ($httpcode == 401) {
    echo ("Invalid credentials");
    return 1;
}

$json_data = json_decode($response, true);

$vendor_name = $json_data["extractions"]["vendor"]["name"] ?? false;
if ($vendor_name) {
    echo ("Vendor name: " . $vendor_name["value"] . "\n");
    echo ("Vendor name confidence: " . $vendor_name["confidence"] . "\n");
} else {
    echo ("Vendor name could not be extracted \n");
}

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const FormData = require('form-data');
const fs = require('fs');
const https = require('https');

const baseURL = 'https://api.natif.ai';
const workflow = 'invoice_extraction';
const apiKey = '<API_KEY>'; // TODO: Insert or load your API-key secret here
const filePath = '<FILE_PATH>'; // TODO: Insert or load your file path here
const lang = 'de';

const sendNatifRequest = (URL, filePath) => {
  const formData = new FormData();
  formData.append('file', fs.createReadStream(filePath));
  formData.append('parameters', `{"language": "${lang}"}`);

  const headers = {
    Accept: 'application/json',
    Authorization: `ApiKey ${apiKey}`,
    'content-type': formData.getHeaders()['content-type'],
  };

  const options = {
    method: 'POST',
    headers,
  };
  const request = https.request(URL, options);

  formData.pipe(request)

  request.on('error', error => {
    console.error(error);
  });

  request.on('response', response => {
    body = '';
    response.on('data', chunk => {
      body += chunk;
    });
    response.on('end', () => {
      const vendorName = JSON.parse(body).extractions.vendor.name;
      if (vendorName) {
        console.log(`Vendor name: ${vendorName.value}`);
        console.log(`Vendor name confidence: ${vendorName.confidence}`);
      } else {
        console.log('Vendor name could not be extracted');
      }      
    });
  });
}

const url = baseURL + '/processing/' + workflow;
const urlObj = new URL(url);
urlObj.searchParams.append('include', 'extractions');
urlObj.searchParams.append('include', 'ocr');

sendNatifRequest(urlObj, filePath);

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package com.natif;

import java.io.BufferedReader;
import java.io.FileInputStream;
import java.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.io.OutputStream;
import java.net.HttpURLConnection;
import java.net.URL;
import java.net.URLConnection;
import java.nio.charset.StandardCharsets;
import java.util.ArrayList;
import java.util.UUID;
import com.google.gson.*;

public class InvoiceExtraction {
    private static final String baseURL = "https://api.natif.ai";
    private static final String workflow = "invoice_extraction";
    private static final String apiKey = "<API_KEY>"; // TODO: Insert or load your API-key secret here
    private static final String filePath = "<FILE_PATH>"; // TODO: Insert or load your file path here
    private static final String lang = "de";

    private static final String EOL = "\r\n";

    private static String sendNatifRequest(String filePath, String workflow, ArrayList<String> params ) throws IOException {
        String queryParams = String.join("&", params);
        String responseString = "";
        try (FileInputStream file = new FileInputStream(filePath)) {
            String urlBase = baseURL + "/processing/%s?%s";
            HttpURLConnection con = (HttpURLConnection) new URL(String.format(urlBase, workflow, queryParams))
                    .openConnection();
            final String boundary = UUID.randomUUID().toString();
            con.setDoOutput(true);
            con.setRequestMethod("POST");
            con.setRequestProperty("Content-Type", "multipart/form-data; boundary=" + boundary);
            con.setRequestProperty("Accept", "application/json");
            con.setRequestProperty("Authorization", "ApiKey " + apiKey);
            try (OutputStream out = con.getOutputStream()) {
                out.write(("--" + boundary + EOL +
                        "Content-Disposition: form-data; name=\"file\"; " +
                        "filename=\"" + filePath + "\"" + EOL +
                        "Content-Type: " + URLConnection.guessContentTypeFromName(filePath) + EOL + EOL)
                        .getBytes(StandardCharsets.UTF_8));
                byte[] buffer = new byte[128];
                int size = -1;
                while (-1 != (size = file.read(buffer))) {
                    out.write(buffer, 0, size);
                }
                out.write((EOL + "--" + boundary + EOL +
                        "Content-Disposition: form-data; name=\"parameters\" " + EOL + EOL +
                        "{\"language\": \"" + lang + "\"}")
                        .getBytes(StandardCharsets.UTF_8));
                out.write((EOL + "--" + boundary + "--" + EOL).getBytes(StandardCharsets.UTF_8));
                out.flush();
                InputStream inputStream = con.getInputStream();
                BufferedReader bufferedReader = new BufferedReader(
                        new InputStreamReader(inputStream));
                StringBuilder response = new StringBuilder();
                String currentLine;

                while ((currentLine = bufferedReader.readLine()) != null)
                    response.append(currentLine);
                responseString = response.toString();
                bufferedReader.close();
            } finally {
                con.disconnect();
            }
            return responseString;
        }
    }

    public static void main(String[] args) throws IOException {
        ArrayList<String> params = new ArrayList<String>();
        params.add("include=extractions");
        params.add("include=ocr");
        String responseString = sendNatifRequest(filePath, workflow, params);
        Gson gson = new Gson();
        JsonObject responseJson = gson.fromJson(responseString, JsonObject.class);
        
        JsonObject extractions = responseJson.getAsJsonObject("extractions");
        JsonObject vendor = extractions.getAsJsonObject("vendor");
        JsonElement vendorElement = vendor.get("name");
        if (!(vendorElement instanceof JsonNull)) {
            String name = vendor.getAsJsonObject("name").get("value").getAsString();
            System.out.printf("Vendor name: %s\n", name);
            String confidence = vendor.getAsJsonObject("name").get("confidence").getAsString();
            System.out.printf("Vendor name confidence: %s\n", confidence);
        } else {
            System.out.println("Vendor name could not be extracted");
        }        
    }
}

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Systeme

Unsere Technologie wurde bereits an viele Systeme erfolgreich angebunden und integriert.

System hinzufügen?

Ihre Vorteile

Nutzerfreundliche
InterfacesIntuitive Interfaces für einfache Navigation, die eine leichte Nutzung ermöglichen.

Individuelle
WorkflowsWorkflows können an Ihre Bedürfnisse angepasst und individuell trainiert werden.

Leichte
IntegrationLeicht in bestehenden Systeme zu integrieren – ohne großen Arbeitsaufwand.

100% DSGVO-
konformEinhaltung aller Vorschriften zum Datenschutz nach DSGVO- und Schrems 2.

Verarbeitung in
EchtzeitEffiziente Arbeitsabläufe durch schnelle Verarbeitung mit sofortigen Ergebnissen.

Enterprise-ready
PlattformSkalierbare Lösung, die für große Dokumentenmengen ausgelegt ist.

Ihre Vorteile

Nutzerfreundliche
InterfacesIntuitive Interfaces für einfache Navigation, die eine leichte Nutzung ermöglichen.

Individuelle
WorkflowsWorkflows können an Ihre Bedürfnisse angepasst und individuell trainiert werden.

Leichte
IntegrationLeicht in bestehenden Systeme zu integrieren – ohne großen Arbeitsaufwand.

100% DSGVO-
konformEinhaltung aller Vorschriften zum Datenschutz nach DSGVO- und Schrems 2.

Verarbeitung in
EchtzeitEffiziente Arbeitsabläufe durch schnelle Verarbeitung mit sofortigen Ergebnissen.

Enterprise-ready
PlattformSkalierbare Lösung, die für große Dokumentenmengen ausgelegt ist.

Bereit zur Automatisierung?

Optimieren Sie Ihre Geschäftsprozesse mit intelligenter Dokumentenverarbeitung und entdecken Sie unsere vielfältigen KI-Lösungen.
Kontaktieren Sie uns jetzt und fragen Sie eine kostenlose Demo an!

JETZT TESTEN

DEMO BUCHEN

Bereit zur Automatisierung?

Optimieren Sie Ihre Geschäftsprozesse mit intelligenter Dokumentenverarbeitung und entdecken Sie unsere vielfältigen KI-Lösungen.
Kontaktieren Sie uns jetzt und fragen Sie eine kostenlose Demo an!

JETZT TESTEN

DEMO BUCHEN