natif.ai AI Document Automation Platform

Discover all the benefits of our AI Document Automation Platform – one of the most powerful AI technologies for automated document processing!

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natif.ai AI Document Automation Platform

Discover now all the benefits of our Document Automation Platform – one of the most powerful AI technologies for automated document processing!

TRY FOR FREE

Our Platform

Discover the potential of our powerful AI technology and automate your document processing with ease. Benefit from our core technologies such as OCR, HTR, pre-processing (splitting & cropping), classification and data extraction.

Discover the potential of our powerful AI technology and automate your document processing with ease.

How natif.ai works

Send your documents, from e.g. scans or emails, to natif.ai via the API or Make. The documents are processed on our platform and provided as structured data. This data can then be retrieved by your downstream system.

Input

Processing

Output

Our Technology

OCR & HTR

Splitting & Cropping

Classification

Extraction

Readout with maximum precision

Our state-of-the-art OCR (Optical Character Recognition) and HTR (Handwritten Text Recognition) technology detects all content on documents and reads the text with maximum accuracy.
Even complex documents, crumpled scans and handwritten forms can be read very accurately by our technology.

Our Technology

OCR & HTR

Splitting & Cropping

Our splitting and cropping technology optimally prepares the documents for further processing.
If several documents are scanned together, our AI recognizes the respective documents and splits them into individual PDFs again (splitting). Crooked scanned documents are cropped again.

Classification

Our classification technology (Classifier) enables the organization of several mixed documents.
This means our AI can distinguish documents based on their type and sort them accordingly.
For example, it can assign incoming invoices, delivery bills and letters to the relevant category.

Extraction

Extraction of document content is a prerequisite for subsequent processing.
Our AI extracts all the information present on the documents and assigns them a data field (e.g. “invoice number”). This way, the content can be transferred to the next system without any problems.

Our AI-Models

Pre-BuiltLeverage large selection of prebuilt AI models for many document types.

Build Your OwnCreate new models from scratch solving your specific document needs.

Fine-Tune Pre-BuiltFine-tune existing AI models even further with your very own data.

Our
AI-Models

Pre-BuiltLeverage large selection of prebuilt AI models for many document types.

Build Your OwnCreate new models from scratch solving your specific document needs.

Fine-Tune Pre-BuiltFine-tune existing AI models even further with your very own data.

Our Integrations

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

The Rest API can be integrated into existing processes in just a few minutes, thanks to support for common programming languages such as C#, PHP, Python, Java or NodeJS. Our documentation easily guides you through the integration processes. We support both synchronous and asynchronous data transfers as well as a whole range of file formats. These are currently the image formats JPEG, PNG, BMMP, GIF, TIFF and the document format PDF.

Systems

Our technology has already been successfully connected and integrated into many systems. Can’t find your system? Please feel free to contact us!

CONTACT

Systeme

Add System?

Our Integrations

Rest API

The Rest API can be integrated into existing processes in just a few minutes, thanks to support for common programming languages such as C#, PHP, Python, Java or NodeJS.

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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Systems

Our technology has already been successfully connected and integrated into many systems.

Add System?

Your Advantages

User friendly
InterfacesIntuitive interfaces for effortless navigation, ensuring ease of use of our platform with only minimal training required.

Customizable
WorkflowsTailor workflows to your needs, enabling processing of multiple records collectively or individually with various outcomes.

Seamless
IntegrationEffortlessly integrate natif.ai into your existing systems, streamlining document processing without extensive time and effort.

100% GDPR
complianceEnsure data privacy and regulatory adherence with natif.ai’s comprehensive compliance measures, meeting GDPR requirements.

Real-time
ProcessingExperience swift document processing with instant results, empowering timely decision-making and efficient workflows.

Enterprise-ready
PlatformScalable and robust solution designed to handle large document volumes, catering to the needs of enterprise-level operations.

Your Advantages

User friendly
InterfacesIntuitive interfaces for effortless navigation, ensuring ease of use of our platform with only minimal training required.

Customizable workflowsTailor workflows to your needs, enabling processing of multiple records collectively or individually with various outcomes.

Seamless
integrationEffortlessly integrate natif.ai into your existing systems, streamlining document processing without extensive time and effort.

100% GDPR
complianceEnsure data privacy and regulatory adherence with natif.ai’s comprehensive compliance measures, meeting GDPR requirements.

Real-time
processingExperience swift document processing with instant results, empowering timely decision-making and efficient workflows.

Enterprise-ready
platformScalable and robust solution designed to handle large document volumes, catering to the needs of enterprise-level operations.

Ready for Automation?

Empower your workflow with intelligent document processing and discover our diverse AI solutions.
Contact us now to request your free demo!

TRY FOR FREE

BOOK A DEMO

Ready for automation?

Empower your workflow with intelligent document processing and discover our diverse AI solutions.
Contact us now to request your free demo!

TRY FOR FREE

BOOK A DEMO