KFZ-Schein
Automatisierung

Unser Weg zur Automatisierung

Um die Dokumentenaufgaben rund zu automatisieren, wurde unsere Software auf Fahrzeugscheine trainiert. Wir können alle relevanten Informationen aus Ihren Dokumenten in Echtzeit extrahieren. Der gesamte Prozess ist super einfach und schnell zu integrieren.
Die natif.ai KFZ-Schein-Automatisierung erkennt dank ihrer Deep-OCR alle wichtigen Informationen in den Fahrzeugunterlagen.
Die Software liefert Echtzeit-Ergebnisse, reduziert den manuellen Aufwand, benötigt keine Einrichtungskosten und bewirkt sofortige Einsparungen. Außerdem ist der gesamte Prozess super einfach und schnell zu integrieren.

Plug & Play

Dank Rest API sind unsere KI-Modelle schnell in bestehende Systeme integriert.

Genauigkeit

Unsere KI-Modelle wurden mit hunderttausenden von Dokumenten trainiert und extrahieren alle wichtigen Informationen mit hoher Präzision.

Geschwindigkeit

Dank leistungsstarker GPUs verarbeitet unsere KI Dokumente in Echtzeit.

Schwarm Wissen

Unsere KI profitiert von dem Feedback all unserer Kunden, somit müssen Probleme nicht von jedem aufs Neue gelöst werden.

Active Learning

Automatisierte Prozesse verbessern die Erkennungsraten unserer Technologie stetig.

Robust Reading

Unsere Deep-OCR liest auch Dokumente mit niedriger Qualität und kann speziell an schwierige Use Cases angepasst werden.

Datenschutz

Wir sind zu 100 % DSGVO- und Schrems II-konform. Wir verarbeiten die Daten auf unseren Servern und verzichten auf Dienstleister.

KI Boost

Unsere KI-Modelle versetzen Ihre Software direkt in die Lage Dokumente zu automatisieren.

So funktioniert’s

Fahrzeugschein Nr

L-A-0-332/13-20292

Name oder Firmenname

Melzer

Datum

01.02.2012

Handelsbezeichnung

Fiat Ducato

Schadstoffklasse

Diesel

{
  "schema_version": 1,
  "document_type": "vehicle_registration",
  "fahrzeugschein_nr": {
    "validation_problem": false,
    "note": "",
    "confidence": 0.99985,
    "bbox_refs": [
      {
        "page_num": 1,
        "bbox_id": 34
      },
      {
        "page_num": 1,
        "bbox_id": 35
      }
    ],
    "value": "L-A-0-332/13-20292"
  },
  "a_amtliches_kennzeichen": {
    "validation_problem": false,
    "note": "",
    "confidence": 0.999925,
    "bbox_refs": [
      {
        "page_num": 1,
        "bbox_id": 36
      },
      {
        "page_num": 1,
        "bbox_id": 37
      },
      {
        "page_num": 1,
        "bbox_id": 30
      },
      {
        "page_num": 1,
        "bbox_id": 31
      }
    ],
    "value": "LAH6661"
    "c_1_1_name_des_halters": {
      "validation_problem": false,
      "note": "",
      "confidence": 0.999925,
      "bbox_refs": [
        {
          "page_num": 1,
          "bbox_id": 36
        },
        {
          "page_num": 1,
          "bbox_id": 37
        },
        {
          "page_num": 1,
          "bbox_id": 30
        },
        {
          "page_num": 1,
          "bbox_id": 31
        }
      ],
      "value": "Melzer"    
....
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So funktioniert’s

Unser vortrainiertes Modell für die Automatisierung von Fahrzeugscheinen extrahiert alle relevanten Informationen aus den Dokumenten. Egal ob Positionsdaten, verschiedene Steuersätze oder Skonti, unsere Technologie erkennt und extrahiert diese für nachfolgende Softwaresysteme, sodass der gesamte Prozess vollautomatisiert ablaufen kann.

Rest API

C#
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

    using (HttpRequestMessage request = new HttpRequestMessage(new HttpMethod("POST"), baseURL + "/processing/" + workflow + "?include=extractions"))
    {
        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\": \"de\"}"), "parameters");
        request.Content = multipartContent;

        HttpResponseMessage response = await httpClient.SendAsync(request);

        string responseString = await response.Content.ReadAsStringAsync();
        JObject responseJson = JObject.Parse(responseString);
        if (responseJson["extractions"]["vendor"] != null
            && responseJson["extractions"]["vendor"]["name"] != 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.");
        }
    }
}
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Rest API

Die Rest API ist in nur wenigen Minuten in bestehende Prozesse zu integrieren, dank Unterstützung der gängigen Programmiersprachen wie C#, PHP, Python, Java oder NodeJS. Unsere Dokumentation führt einfach durch die Integrationsprozesse. Wir unterstützen sowohl synchronen als auch asynchronen Daten-Transfer. 
Im ersten Schritt können die Belege über die API hochgeladen werden. Unsere Software unterstützt eine ganze Reihe von Dateiformaten. Dies sind derzeit die Bildformate JPEG, PNG, BMMP, GIF, TIFF und das Dokumentenformat PDF.

Einfach Integration dank Make-Plugin

Einfache Integration Dank Make-Plugin

Intuitive Nutzung unserer Technologie und einfache Integration in bestehende Prozesse wie z.B. DocuWare durch unser Make-Plugin.

Extraktion der Daten

Wir stellen die Schlüsselinformationen als strukturiertes JSON-Format über die API bereit. Für jeden Datenpunkt sind darin auch die genaue Position auf dem Dokument, der Wert und das Konfidenzniveau angegeben. Zusätzlich zur JSON-Datei liefern wir eine PDF/A-Datei mit der Textebene.
{
  "processing_id": "bfb819fb-b193-42fa-ad19-8ad33aa8831b",
  "available_results": [
    "pdf",
    "ocr",
    "page-images",
    "hocr",
    "language",
    "thumbnail"
  ],
  "pdf": "/processing/results/bfb819fb-b193-42fa-ad19-8ad33aa8831b/pdf",
  "ocr": {
    "pages": [
      {
        "width": 2380,
        "height": 3368,
        "bboxes": [
          {
            "id": 1,
            "x1": 82,
            "y1": 333,
            "x2": 102,
            "y2": 351,
            "text": "a",
            "text_entropy": 0.58203125
          },
          {
            "id": 2,
            "x1": 132,
            "y1": 1508,
            "x2": 551,
            "y2": 1558,
            "text": "Staatsangehörigkeit:",
            "text_entropy": 0.141357421875
          },
          {
            "id": 3,
            "x1": 140,
            "y1": 1975,
            "x2": 310,
            "y2": 2014,
            "text": "Aktuelle",
            "text_entropy": 0.11651611328125
          },
          {
            "id": 4,
            "x1": 317,
            "y1": 1974,
            "x2": 625,
            "y2": 2019,
            "text": "Jahresbeiträge:",
            "text_entropy": 0.0947265625
          },
          {
            "id": 5,
            "x1": 138,
            "y1": 1081,
            "x2": 440,
            "y2": 1119,
            "text": "Geburtsdatum:",
            "text_entropy": 0.138671875
          },
          {
            "id": 6,
            "x1": 132,
            "y1": 2039,
            "x2": 477,
            "y2": 2075,
            "text": "Familienmitgliedschaft",
            "text_entropy": 0.14794921875
          },
          {
            "id": 7,
            "x1": 483,
            "y1": 2040,
            "x2": 534,
            "y2": 2074,
            "text": "gilt",
            "text_entropy": 0.07037353515625
          },
          {
            "id": 8,
            "x1": 536,
            "y1": 2040,
            "x2": 586,
            "y2": 2074,
            "text": "für",
            "text_entropy": 0.06671142578125
          },
          {
            "id": 9,
            "x1": 588,
            "y1": 2040,
            "x2": 639,
            "y2": 2070,
            "text": "1-2",
            "text_entropy": 0.07904052734375
          },
          {
            "id": 10,
            "x1": 645,
            "y1": 2039,
            "x2": 820,
            "y2": 2071,
            "text": "Erwachsene",
            "text_entropy": 0.1488037109375
          },
          {
            "id": 11,
            "x1": 822,
            "y1": 2039,
            "x2": 891,
            "y2": 2071,
            "text": "incl.",
            "text_entropy": 0.1458740234375
          },
          {
            "id": 12,
            "x1": 893,
            "y1": 2039,
            "x2": 982,
            "y2": 2071,
            "text": "deren",
            "text_entropy": 0.06317138671875
          },
          {
            "id": 13,
            "x1": 984,
            "y1": 2040,
            "x2": 1081,
            "y2": 2071,
            "text": "Kinder",
            "text_entropy": 0.0614013671875
          },
          {
            "id": 14,
            "x1": 1087,
            "y1": 2040,
            "x2": 1132,
            "y2": 2070,
            "text": "bis",
            "text_entropy": 0.0265045166015625
          },
          {
            "id": 15,
            "x1": 1134,
            "y1": 2040,
            "x2": 1334,
            "y2": 2075,
            "text": "einschließlich",
            "text_entropy": 0.1434326171875
          },
          {
            "id": 16,
            "x1": 1336,
            "y1": 2039,
            "x2": 1406,
            "y2": 2069,
            "text": "dem",
            "text_entropy": 0.108642578125
          },
          {
            "id": 17,
            "x1": 1412,
            "y1": 2039,
            "x2": 1458,
            "y2": 2069,
            "text": "18.",
            "text_entropy": 0.05975341796875
          },
          {
            "id": 18,
            "x1": 1465,
            "y1": 2039,
            "x2": 1635,
            "y2": 2075,
            "text": "Lebensjahr,",
            "text_entropy": 0.11431884765625
          },
          {
            "id": 19,
            "x1": 1640,
            "y1": 2038,
            "x2": 1744,
            "y2": 2069,
            "text": "welche",
            "text_entropy": 0.12548828125
          },
          {
            "id": 20,
            "x1": 1750,
            "y1": 2038,
            "x2": 1801,
            "y2": 2068,
            "text": "alle",
            "text_entropy": 0.01308441162109375
          },
          {
            "id": 21,
            "x1": 1803,
            "y1": 2038,
            "x2": 1840,
            "y2": 2069,
            "text": "in",
            "text_entropy": 0.1436767578125
          },
          {
            "id": 22,
            "x1": 1842,
            "y1": 2038,
            "x2": 1939,
            "y2": 2069,
            "text": "einem",
            "text_entropy": 0.04168701171875
          },
          {
            "id": 23,
            "x1": 1945,
            "y1": 2038,
            "x2": 2074,
            "y2": 2069,
            "text": "Haushalt",
            "text_entropy": 0.100341796875
          },
          {
            "id": 24,
            "x1": 2076,
            "y1": 2038,
            "x2": 2173,
            "y2": 2069,
            "text": "leben.",
            "text_entropy": 0.0246734619140625
          },
          {
            "id": 25,
            "x1": 132,
            "y1": 1187,
            "x2": 289,
            "y2": 1231,
            "text": "Straße,",
            "text_entropy": 0.07049560546875
          },
          {
            "id": 26,
            "x1": 291,
            "y1": 1190,
            "x2": 420,
            "y2": 1227,
            "text": "HsNr.:",
            "text_entropy": 0.13427734375
          },
          {
            "id": 27,
            "x1": 140,
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            "x2": 248,
            "y2": 3130,
            "text": "weils",
            "text_entropy": 0.036041259765625
          },
          {
            "id": 28,
            "x1": 254,
            "y1": 3101,
            "x2": 330,
            "y2": 3130,
            "text": "nur",
            "text_entropy": 0.054779052734375
          },
          {
            "id": 29,
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            "x2": 416,
            "y2": 3130,
            "text": "zum",
            "text_entropy": 0.06951904296875
          },
          {
            "id": 30,
            "x1": 424,
            "y1": 3092,
            "x2": 660,
            "y2": 3130,
            "text": "Jahresende",
            "text_entropy": 0.05487060546875
          },
          {
            "id": 31,
            "x1": 662,
            "y1": 3094,
            "x2": 791,
            "y2": 3137,
            "text": "gültig.",
            "text_entropy": 0.12481689453125
          },
          {
            "id": 32,
            "x1": 793,
            "y1": 3094,
            "x2": 868,
            "y2": 3129,
            "text": "Die",
            "text_entropy": 0.06549072265625
          },
          {
            "id": 33,
            "x1": 870,
            "y1": 3093,
            "x2": 1312,
            "y2": 3138,
            "text": "Datenschutzerklärung",
            "text_entropy": 0.145751953125
          },
          {
            "id": 34,
            "x1": 1314,
            "y1": 3094,
            "x2": 1374,
            "y2": 3138,
            "text": "ist",
            "text_entropy": 0.05859375
          },
          {
            "id": 35,
            "x1": 1376,
            "y1": 3094,
            "x2": 1569,
            "y2": 3138,
            "text": "zwingend",
            "text_entropy": 0.0672607421875
          },
          {
            "id": 36,
            "x1": 139,
            "y1": 620,
            "x2": 318,
            "y2": 658,
            "text": "erfordert.)",
            "text_entropy": 0.08984375
          },
          {
            "id": 37,
            "x1": 133,
            "y1": 3152,
            "x2": 216,
            "y2": 3189,
            "text": "der",
            "text_entropy": 0.10498046875
          },
          {
            "id": 38,
            "x1": 218,
            "y1": 3152,
            "x2": 400,
            "y2": 3195,
            "text": "selbigen,",
            "text_entropy": 0.08026123046875
          },
          {
            "id": 39,
            "x1": 402,
            "y1": 3152,
            "x2": 507,
            "y2": 3188,
            "text": "kann",
            "text_entropy": 0.0704345703125
          },
          {
            "id": 40,
            "x1": 509,
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            "x2": 578,
            "y2": 3188,
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          },
          {
            "id": 41,
            "x1": 584,
            "y1": 3152,
            "x2": 867,
            "y2": 3196,
            "text": "Mitgliedschaft",
            "text_entropy": 0.147216796875
          },
          {
            "id": 42,
            "x1": 869,
            "y1": 3151,
            "x2": 977,
            "y2": 3191,
            "text": "nicht",
            "text_entropy": 0.036041259765625
          },
          {
            "id": 43,
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            "x2": 1159,
            "y2": 3196,
            "text": "erfolgen.",
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          },
          {
            "id": 44,
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            "text_entropy": 0.07635498046875
          },
          {
            "id": 45,
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            "text_entropy": 0.0650634765625
          },
          {
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          },
          {
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          {
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          {
            "id": 49,
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          },
          {
            "id": 50,
            "x1": 704,
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          },
          {
            "id": 51,
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          },
          {
            "id": 52,
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          },
          {
            "id": 53,
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          },
          {
            "id": 54,
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          },
          {
            "id": 55,
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          },
          {
            "id": 56,
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          },
          {
            "id": 57,
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          {
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          {
            "id": 59,
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          {
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          {
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          {
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          {
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          {
            "id": 66,
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            "text": "(Zudem",
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          {
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          {
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          {
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          {
            "id": 70,
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            "text": "aktive/r",
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          },
          {
            "id": 71,
            "x1": 700,
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            "x2": 973,
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            "text": "Fußballspieler/in",
            "text_entropy": 0.146240234375
          },
          {
            "id": 72,
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            "id": 254,
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          {
            "id": 255,
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        ],
        "fulltext": "Aufnahmeantrag\n|\nfür Erwachsene u. Jugendliche ab 16\na\nincl. Sepamandat u. Datenschutzerklärung\nHiermit beantrage ich die Mitgliedschaft im Sportverein NatifSports.\n(Zudem beantrage ich als aktive/r Fußballspieler/in ebenfalls die Mitgliedschaft im FC 92 Natif, solange der Spielbetrieb dies\nerfordert.)\nn\n01.01.2023\nMaximilian\nMustermann\n13.06.1990\nZum Vereinsheim\n33445\n031 65432\nEintrittsdatum:\nVorname:\nName:\nAm\n[X.m\nGeburtsdatum:\nGeschlecht:\n17\nd\nW\nStraße, HsNr.:\nMusterstadt\nPLZ, Ort:\n749. 151 687899\nFestnetz:\nMobil:\nStaatsangehörigkeit: X\ntsch\n(andere)\nDeutsch\nGymnastik / Aerobic / Turnen u.ä.\nLAktives Mitglied in der Sparte\nFußball\nBoxen\nals Fördermitglied mit\nvollem Beitrag\n% Beitrag\nFamilienmitgliedschaft über folgenden Hauptzahler:\nAktuelle Jahresbeiträge:\nFamilienmitgliedschaft gilt für 1-2 Erwachsene incl. deren Kinder bis einschließlich dem 18. Lebensjahr, welche alle in einem Haushalt leben.\nErwachsene 50,-- €\nKinder-u. Jugendliche 25,-- €\nFamilien 90,-- €\nIch habe Kenntnis von der Satzung genommen und erkenne diese an. Die Satzung liegt jederzeit im Sport-\nheim aus und ist im Internet unter natif.ai zu finden.\nMusterstadt, , 30.12.2022\nOrt, Datum\nM. Mustermann\nUnterschrift des neuen Mitglieds\nUnterschrift Erziehungsberechtige/r\nUnterschrift Erziehungsberechtige/r\nBei Minderjährigen sind generell die Unterschriften aller Erziehungsberechtigter erforderlich.\nMit der Unterschrift erkläre ich mich/wir uns bereit, die Beitragszahlung zu übernehmen. Diese Schuld-\nübernahme ist bis zur Volljährigkeit des Kindes begrenzt. Ich stimme der Speicherung, Verarbeitung und\nNutzung meiner personenbezogenen Daten (siehe Datenschutzerklärung) zu, soweit es für Vereins-/Ver-\nbandszwecke erforderlich ist.\nEin Vereinsaustritt hat immer mindestens einen Monat vor Jahresende schriftlich zu erfolgen und ist je-\nweils nur zum Jahresende gültig. Die Datenschutzerklärung ist zwingend notwendig, bei Verweigerung\nder selbigen, kann die Mitgliedschaft nicht erfolgen."
      }
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  "language": {
    "iso_639_1": "de"
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  "thumbnail": "/processing/results/bfb819fb-b193-42fa-ad19-8ad33aa8831b/thumbnail"
}
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