Delivery note
automation

What we do

We have developed an automation process for delivery notes and other related document types. This combination of Deep OCR, document classification and extraction in just one API call speeds up all processes immensely. Thanks to its Deep OCR, natif.ai Delivery Note Automation recognizes all tax rates, item data, rebates and discounts.
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.

Position data

In addition to classic header data, our AI can also extract position data.

Rebates & discounts

Our AI is trained to recognize rebates, discounts as well as the corresponding time periods.

Speed

Thanks to high-performance GPUs, our AI processes documents in real time.

Plug & play

Thanks to Rest API, our AI models are quickly integrated into existing systems.

No templates

We do not use outdated template-based algorithms, but work with state-of-the-art Deep Learning approaches.

Swarm intelligence

Our AI benefits from feedback from all our customers, so problems don’t have to be solved by each customer anew.

Data protection

We are 100 % GDPR- and Schrems II-compliant. We process the data on our servers and dispense with service providers.

Tax rate detection

We recognize different tax rates whether at the item level or in the final calculation.

Empfänger Name

Alfred Schneider

Empfänger Adresse

Muttweg 3

Datum

01.05.2022

Liefer-Nr.

3931

Artikel-Nr. (1)

2912-282

Beschreibung (1)

Hook-M/3

Lieferant

Triskona GmbH

Lieferant Ust.-ID

DE 4567883213

{
  "processing_id": "e0e053a8-9efe-4a40-a5b3-758b69da39bb",
  "available_results": [
    "extractions",
    "classifications",
    "pdf",
    "ocr",
    "page-images",
    "hocr",
    "language",
    "thumbnail"
  ],
  "extractions": {
    "schema_version": 2,
    "document_type": "delivery note",
    "customer": {
      "name": {
        "validation_problem": false,
        "note": "",
        "confidence": 0.99985,
        "bbox_refs": [
          {
            "page_num": 1,
            "bbox_id": 3
          },
          {
            "page_num": 1,
            "bbox_id": 21
          }
        ],
        "value": "Alfred Schneider"
      },
      "address": {
        "validation_problem": false,
        "note": "",
        "confidence": 0.9998,
        "bbox_refs": [
          {
            "page_num": 1,
            "bbox_id": 10
          },
          {
            "page_num": 1,
            "bbox_id": 11
          },
          {
            "page_num": 1,
            "bbox_id": 1
          },
          {
            "page_num": 1,
            "bbox_id": 2
          }
        ],
        "value": "Mutweg 3 66117 Saarbrücken"
      },
...
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How we do it

Our models have been trained to handle small print, poorly scanned documents as well as handwriting. Our software is able to extract items, quantities, dates and all important data for delivery processes with high precision.

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 structured JSON format via the interface. For each data point, this also provides the exact position on the document, the value, and the confidence level. In addition to the JSON file, we deliver a PDF/A file including the text layer.
{
  "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,
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            "text": "a",
            "text_entropy": 0.58203125
          },
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            "text": "Staatsangehörigkeit:",
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          },
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            "y2": 2014,
            "text": "Aktuelle",
            "text_entropy": 0.11651611328125
          },
          {
            "id": 4,
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            "y1": 1974,
            "x2": 625,
            "y2": 2019,
            "text": "Jahresbeiträge:",
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          },
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            "text": "Geburtsdatum:",
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          },
          {
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            "x2": 477,
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            "text": "Familienmitgliedschaft",
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          },
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            "text": "gilt",
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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"
  },
  "thumbnail": "/processing/results/bfb819fb-b193-42fa-ad19-8ad33aa8831b/thumbnail"
}
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