Accounting workflow

What we do

Classification of unknown documents and subsequent extraction of relevant accounting information is where traditional enterprise software reaches its limits. This in particular is a time-consuming and cost-intensive task for the end users.

The natif.ai accounting automation first classifies the documents into invoices, credit notes, cash receipts or other documents and then extracts all relevant information such as item data, discounts and various tax rates based on the recognized type. This eliminates the need to sort or classify documents in advance. The software delivers real-time results, reduces manual effort, requires no setup costs, and produces immediate savings. Plus, the entire process is super easy and quick to integrate.

Keine Templates

Wir nutzen keine veralteten Template-basierten Algorithmen, sondern arbeiten mit modernsten Deep Learning Ansätzen.

Plug & Play

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

Datenschutz

Da die Daten auf unseren Servern in Deutschland verarbeitet und nicht mit Dritten geteilt werden, ist unsere Technologie DSGVO- und Schrems II-konform.

Steuersatz Erkennung

Unsere KI erkennt verschiedene Steuersätze, sowohl auf Positionsebene als auch in der finalen Kalkulation.

Rabatte & Skonti

Unsere KI ist darauf trainiert Rabatte, Skonti sowie die korrespondierenden Zeiträume zu erkennen.

Positionsdaten

Neben klassischen Kopfdaten kann unsere KI auch Positionsdaten extrahieren.

Geschwindigkeit

Da unsere KI auf GPUs läuft, verarbeiten wir Dokumente in Echtzeit (normalerweise weniger als 1 Sekunde pro Seite).

Schwarm Wissen

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

Document type

Invoice

Receiver address

Erfurterstrasse 13

Receiver

JOKO Service

Sender address

Lebacher Sand 11

Invoice No.

M1675

Invoice date

13.03.2019

Article No.

B-3025-078

Total article “B-3025-078”

120,00

Total invoice

209,03

{
  "schema_version": 1,
  "document_type": "invoice",
  "customer": {
    "name": {
      "validation_problem": false,
      "note": "",
      "confidence": 0.99985,
      "bbox_refs": [
        {
          "page_num": 1,
          "bbox_id": 34
        },
        {
          "page_num": 1,
          "bbox_id": 35
        }
      ],
      "value": "Klaus Gotti"
    },
    "address": {
      "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": "Erforterstrasse 13 66111 Saarbrücken"
....
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Document type

Receipt

Receipt exhibitor

Xirpia Elektroshop

Street

Bitterstraße 3

Article price

66,99

Receipt No.

30213

Total

90,58

{
  "schema_version": 1,
  "document_type": "receipt",
  "customer": {
    "name": {
      "validation_problem": false,
      "note": "",
      "confidence": 0.99985,
      "bbox_refs": [
        {
          "page_num": 1,
          "bbox_id": 34
        },
        {
          "page_num": 1,
          "bbox_id": 35
        }
      ],
      "value": "Xirpia Elektroshop"
    },
    "address": {
      "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": "Bitterstraße 3"
....
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How we do it

Our AI has been trained on different document types in the context of accounting and recognizes them independently. After classification, we use state-of-the-art technologies from the fields of natural language processing and computer vision to extract the relevant content of the documents and transfer it in structured form to downstream systems. It is not necessary for natif.ai to have seen these documents in advance.

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

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 transfer. 
In the first step, documents can be uploaded via the API. Our software supports a whole range of file formats. These are currently the image formats JPEG, PNG, BMMP, GIF, TIFF and the document format PDF. 

Einfach Integration dank Make-Plugin

Easy integration thanks to Make-Plugin

Intuitive use of our technology and easy integration into existing processes such as in the DocuWare context thanks to our Make plugin.

Data extraction

We provide the key information as a structured JSON format via the API. For each data point, it also specifies the exact position on the document, the value and the confidence level. In addition to the JSON file, we provide a PDF/A file with the text level.
{
  "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,
            "y1": 3093,
            "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,
            "x1": 332,
            "y1": 3100,
            "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,
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            "x2": 507,
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            "text": "kann",
            "text_entropy": 0.0704345703125
          },
          {
            "id": 40,
            "x1": 509,
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          },
          {
            "id": 41,
            "x1": 584,
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            "x2": 867,
            "y2": 3196,
            "text": "Mitgliedschaft",
            "text_entropy": 0.147216796875
          },
          {
            "id": 42,
            "x1": 869,
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            "x2": 977,
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            "text": "nicht",
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          {
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            "text": "erfolgen.",
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          },
          {
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          {
            "id": 55,
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          {
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            "text": "Erziehungsberechtigter",
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          {
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            "text": "(Zudem",
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            "text": "beantrage",
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          {
            "id": 71,
            "x1": 700,
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            "x2": 973,
            "y2": 607,
            "text": "Fußballspieler/in",
            "text_entropy": 0.146240234375
          },
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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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