LieferscheinAutomatisierung

Unser Weg zur Automatisierung

Wir haben einen Automatisierungsprozess für Lieferscheine und weitere damit verbundene Dokumententypen entwickelt. Diese Kombination aus Deep-OCR, Dokumentenklassifizierung und Extraktion in nur einem einzigen API-Aufruf beschleunigt alle Vorgänge immens. Die natif.ai Delivery Note Automation erkennt dank ihrer Deep-OCR alle Steuersätze, Positionsdaten, Rabatte und Skonti.
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.

Positionsdaten

Neben klassischen Kopfdaten kann unsere KI auch Positionsdaten extrahieren.

Rabatte & Skonti

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

Geschwindigkeit

Dank leistungsstarker GPUs verarbeitet unsere KI Dokumente in Echtzeit.

Plug & Play

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

Keine Templates

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

Schwarm Wissen

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

Datenschutz

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

Steuersatz Erkennung

Wir erkennen verschiedene Steuersätze egal ob auf Positionsebene oder in der finalen Kalkulation.

So funktioniert’s

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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So funktioniert’s

Unsere Modelle wurden so trainiert, dass sie sowohl mit Kleingedrucktem, schlecht gescannten Dokumenten als auch mit Handschriften umgehen können. Unsere Software ist in der Lage, Artikel, Mengen, Daten und alle wichtigen Daten für Lieferabläufe mit hoher Präzision zu extrahieren.

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,
            "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,
            "y1": 3152,
            "x2": 507,
            "y2": 3188,
            "text": "kann",
            "text_entropy": 0.0704345703125
          },
          {
            "id": 40,
            "x1": 509,
            "y1": 3151,
            "x2": 578,
            "y2": 3188,
            "text": "die",
            "text_entropy": 0.06195068359375
          },
          {
            "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,
            "x1": 984,
            "y1": 3151,
            "x2": 1159,
            "y2": 3196,
            "text": "erfolgen.",
            "text_entropy": 0.025146484375
          },
          {
            "id": 44,
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            "y1": 2198,
            "x2": 244,
            "y2": 2236,
            "text": "heim",
            "text_entropy": 0.07635498046875
          },
          {
            "id": 45,
            "x1": 249,
            "y1": 2202,
            "x2": 326,
            "y2": 2236,
            "text": "aus",
            "text_entropy": 0.0650634765625
          },
          {
            "id": 46,
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            "x2": 411,
            "y2": 2236,
            "text": "und",
            "text_entropy": 0.1259765625
          },
          {
            "id": 47,
            "x1": 413,
            "y1": 2199,
            "x2": 465,
            "y2": 2233,
            "text": "ist",
            "text_entropy": 0.076171875
          },
          {
            "id": 48,
            "x1": 471,
            "y1": 2199,
            "x2": 528,
            "y2": 2235,
            "text": "im",
            "text_entropy": 0.09423828125
          },
          {
            "id": 49,
            "x1": 530,
            "y1": 2199,
            "x2": 699,
            "y2": 2236,
            "text": "Internet",
            "text_entropy": 0.11053466796875
          },
          {
            "id": 50,
            "x1": 704,
            "y1": 2202,
            "x2": 815,
            "y2": 2236,
            "text": "unter",
            "text_entropy": 0.040252685546875
          },
          {
            "id": 51,
            "x1": 822,
            "y1": 2200,
            "x2": 965,
            "y2": 2236,
            "text": "natif.ai",
            "text_entropy": 0.03289794921875
          },
          {
            "id": 52,
            "x1": 970,
            "y1": 2209,
            "x2": 1016,
            "y2": 2236,
            "text": "zu",
            "text_entropy": 0.0556640625
          },
          {
            "id": 53,
            "x1": 1023,
            "y1": 2200,
            "x2": 1159,
            "y2": 2236,
            "text": "finden.",
            "text_entropy": 0.1424560546875
          },
          {
            "id": 54,
            "x1": 132,
            "y1": 2715,
            "x2": 211,
            "y2": 2753,
            "text": "Bei",
            "text_entropy": 0.1429443359375
          },
          {
            "id": 55,
            "x1": 226,
            "y1": 2713,
            "x2": 530,
            "y2": 2759,
            "text": "Minderjährigen",
            "text_entropy": 0.060394287109375
          },
          {
            "id": 56,
            "x1": 532,
            "y1": 2714,
            "x2": 625,
            "y2": 2758,
            "text": "sind",
            "text_entropy": 0.1168212890625
          },
          {
            "id": 57,
            "x1": 627,
            "y1": 2716,
            "x2": 797,
            "y2": 2759,
            "text": "generell",
            "text_entropy": 0.034698486328125
          },
          {
            "id": 58,
            "x1": 799,
            "y1": 2714,
            "x2": 869,
            "y2": 2756,
            "text": "die",
            "text_entropy": 0.14697265625
          },
          {
            "id": 59,
            "x1": 876,
            "y1": 2714,
            "x2": 1166,
            "y2": 2754,
            "text": "Unterschriften",
            "text_entropy": 0.09185791015625
          },
          {
            "id": 60,
            "x1": 1174,
            "y1": 2715,
            "x2": 1269,
            "y2": 2757,
            "text": "aller",
            "text_entropy": 0.08587646484375
          },
          {
            "id": 61,
            "x1": 1275,
            "y1": 2713,
            "x2": 1744,
            "y2": 2758,
            "text": "Erziehungsberechtigter",
            "text_entropy": 0.149169921875
          },
          {
            "id": 62,
            "x1": 1746,
            "y1": 2713,
            "x2": 1999,
            "y2": 2752,
            "text": "erforderlich.",
            "text_entropy": 0.1318359375
          },
          {
            "id": 63,
            "x1": 139,
            "y1": 2948,
            "x2": 412,
            "y2": 2987,
            "text": "bandszwecke",
            "text_entropy": 0.1474609375
          },
          {
            "id": 64,
            "x1": 414,
            "y1": 2949,
            "x2": 651,
            "y2": 2988,
            "text": "erforderlich",
            "text_entropy": 0.08721923828125
          },
          {
            "id": 65,
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            "y1": 2949,
            "x2": 718,
            "y2": 2987,
            "text": "ist.",
            "text_entropy": 0.0955810546875
          },
          {
            "id": 66,
            "x1": 133,
            "y1": 566,
            "x2": 273,
            "y2": 606,
            "text": "(Zudem",
            "text_entropy": 0.1494140625
          },
          {
            "id": 67,
            "x1": 280,
            "y1": 567,
            "x2": 447,
            "y2": 606,
            "text": "beantrage",
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          },
          {
            "id": 68,
            "x1": 449,
            "y1": 566,
            "x2": 503,
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            "text": "ich",
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          },
          {
            "id": 69,
            "x1": 505,
            "y1": 568,
            "x2": 559,
            "y2": 599,
            "text": "als",
            "text_entropy": 0.00623321533203125
          },
          {
            "id": 70,
            "x1": 561,
            "y1": 567,
            "x2": 693,
            "y2": 604,
            "text": "aktive/r",
            "text_entropy": 0.1490478515625
          },
          {
            "id": 71,
            "x1": 700,
            "y1": 567,
            "x2": 973,
            "y2": 607,
            "text": "Fußballspieler/in",
            "text_entropy": 0.146240234375
          },
          {
            "id": 72,
            "x1": 980,
            "y1": 568,
            "x2": 1133,
            "y2": 599,
            "text": "ebenfalls",
            "text_entropy": 0.068115234375
          },
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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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