Automatische Erkennung von Dokumentfeldern

Unsere Analysegeräte erkennen eindeutige Feldwerte aus hochgeladenen Dokumenten intelligent und ermitteln diese automatisch.

Erkennung der Dokumentensprache

Erkennen Sie die Sprache gescannter oder gedruckter Dokumente, Bilder und PDF-Dateien.

Optische Zeichenerkennung (OCR)

Konvertieren Sie gescannte oder gedruckte Dokumente, einschließlich Bilder und PDF-Dateien, in maschinenlesbaren Text.

Integration und Automatisierung

Unsere Dokumentenanalysatoren können in bestehende Softwaresysteme oder Arbeitsprozesse integriert werden.

API zur optischen Zeichenerkennung (OCR).

Parse Documents ist ein robuster Satz von APIs, die alle Anforderungen an die Dokumentanalyse erfüllen. Unser Ziel ist es, den komplexen Prozess der Dokumentenverwaltung zu vereinfachen, sei es das Suchen, Analysieren oder Behandeln von Fehlern. Dazu gehören eine einfache Seitensortierung, eine große Auswahl an unterstützten Dokumenttypen und eine gründliche Fehlerberichterstattung.

Vielseitigkeit und Flexibilität

Mithilfe unserer verschiedenen APIs können Sie nicht nur hochgeladene Dokumente lesen, sondern Dokumente auch per direktem Upload oder externem Link zur Analyse in die Warteschlange stellen. Unsere APIs wurden unter Berücksichtigung der dynamischen Natur des Geschäfts entwickelt und ermöglichen eine nahtlose Anpassung an eine Vielzahl von Geschäftsanforderungen und -konfigurationen.

Swagger-Konfiguration

APIs sind gemäß der OpenAPI-Spezifikation (OAS) codiert, was den Integrationsprozess problemlos und einfach macht. Wir stellen eine umfangreiche Dokumentation auf Basis der Swagger-Benutzeroberfläche bereit, die mögliche Antworten sowie mögliche Status- und Fehlercodes detailliert beschreibt.

Ihre Sicherheit ist unsere Priorität

Alle API-Anfragen werden für maximale Sicherheit mithilfe von JWT-Headern authentifiziert. Dadurch ist sichergestellt, dass Ihre sensiblen Dokumentendaten stets geschützt sind.

Lass uns anfangen

Wir freuen uns, Sie an Bord zu haben und können es kaum erwarten zu sehen, wie Sie die Vorteile von Parse Documents in Ihre Dokumentenverwaltungsvorgänge integrieren und maximieren!

Stellen Sie sicher, dass Sie „YourAuthTokenHere“ durch das tatsächliche Inhabertoken ersetzen.
OCR Document via URL
POST /v1/documents/ocr/url

A POST method that performs Optical Character Recognition (OCR) on a document using its URL.

Example Request
POST /v1/documents/ocr/url HTTP/1.1
Content-Type: application/json
Authorization: Bearer YourAuthTokenHere

{
    "filename": "sample.pdf",
    "url": "https://example.com/sample.pdf"
}
Request Headers
  • Content-Type: application/json
  • Authorization: Bearer YourAuthTokenHere
Request Body

The request body should be a JSON object with the following properties:

  • filename (optional): The identification of the file (filename).
  • url: The URL of the document to download and parse.
  • password (optional): Password of encrypted file.
Responses
  • 200 Success: Returns the OCR text of the document.
  • 404 Not Found: The requested document is not found.
  • 400 Bad Request: The request was made incorrectly.
import requests
import json

def ocr_document_by_url():
    try:
        headers = {
            "Authorization": "Bearer YourAuthTokenHere"
        }

        url = "https://.cargoinvoice.com/v1/documents/ocr/url"

        payload = {
            "filename": "sample.pdf",
            "url": "https://example.com/sample.pdf",
            "password": "YourPasswordHere"
        }

        response = requests.post(url, data=json.dumps(payload), headers=headers)
        response.raise_for_status()

        responseBody = response.text

        print(responseBody)
    except requests.exceptions.HTTPError as e:
        print(f"Error: {e}")

ocr_document_by_url()
package main

import (
    "fmt"
    "io/ioutil"
    "log"
    "net/http"
    "strings"
)

func main() {
    ocrDocumentByUrl()
}

func ocrDocumentByUrl() {
    client := &http.Client{}

    reqBody := strings.NewReader(`{
        "filename": "sample.pdf",
        "url": "https://example.com/sample.pdf",
        "password": "YourPasswordHere"
    }`)

    req, err := http.NewRequest("POST", "https://.cargoinvoice.com/v1/documents/ocr/url", reqBody)
    if err != nil {
        log.Fatalln(err)
    }

    req.Header.Add("Authorization", "Bearer YourAuthTokenHere")
    req.Header.Add("Content-Type", "application/json")

    resp, err := client.Do(req)
    if err != nil {
        log.Fatalln(err)
    }
    defer resp.Body.Close()

    bodyBytes, err := ioutil.ReadAll(resp.Body)
    if err != nil {
        log.Fatalln(err)
    }

    bodyString := string(bodyBytes)
    fmt.Println(bodyString)
}
<?php

function ocrDocumentByUrl() {
    try {
        $baseUrl = ".cargoinvoice.com";
        $token = "YourAuthTokenHere";

        $url = "https://{$baseUrl}/v1/documents/ocr/url";

        $headers = array(
            "Content-Type: application/json",
            "Authorization: Bearer {$token}"
        );

        $payload = array(
            "filename" => "sample.pdf",
            "url" => "https://example.com/sample.pdf",
            "password" => "YourPasswordHere"
        );

        $ch = curl_init($url);
        curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload));
        curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);
        curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);

        $response = curl_exec($ch);
        $httpCode = curl_getinfo($ch, CURLINFO_HTTP_CODE);

        curl_close($ch);

        if ($httpCode === 200) {
            echo $response;
        } else {
            echo "Error: {$response}";
        }
    } catch (Exception $e) {
        echo "Error: {$e->getMessage()}";
    }
}

ocrDocumentByUrl();
using System;
using System.Net.Http;
using System.Threading.Tasks;
using Newtonsoft.Json;

class Program
{
    private static readonly HttpClient client = new HttpClient();

    static void Main(string[] args)
    {
        OcrDocumentByUrl().Wait();
    }

    private static async Task OcrDocumentByUrl()
    {
        try
        {
            client.DefaultRequestHeaders.Authorization = new System.Net.Http.Headers.AuthenticationHeaderValue("Bearer", "YourAuthTokenHere");

            var requestUri = new UriBuilder("https://.cargoinvoice.com/v1/documents/ocr/url");

            var requestBody = new
            {
                filename = "sample.pdf",
                url = "https://example.com/sample.pdf",
                password = "YourPasswordHere"
            };
            var jsonBody = JsonConvert.SerializeObject(requestBody);

            var response = await client.PostAsync(requestUri.ToString(), new StringContent(jsonBody, System.Text.Encoding.UTF8, "application/json"));
            response.EnsureSuccessStatusCode();

            string responseBody = await response.Content.ReadAsStringAsync();

            Console.WriteLine(responseBody);
        }
        catch (HttpRequestException e)
        {
            Console.WriteLine($"Error: {e.Message}");
        }
    }
}

In this code, we define a simple program with a single method `OcrDocumentByUrl`.

This method first sets up the authentication header by adding the bearer token to the HttpClient's default headers.

Then, it constructs the request URL using a `System.Net.UriBuilder`.

It creates an anonymous object `requestBody` with the desired request parameters and converts it to a JSON string using Newtonsoft.Json.JsonConvert.SerializeObject method.

Finally, it sends a POST request to the API by passing the request URL, request body as a `StringContent` and the "application/json" media type to the `PostAsync` method of the HttpClient.

If the request fails for any reason, an HttpRequestException will be thrown and the method will catch it and print the error message to the console.

If the request is successful, the method will read the response body as a string and print it to the console.

Request Body:

  • filename (optional): The identification of the file (filename).
  • url: The URL of the document to download and parse.
  • password (optional): Password of encrypted file.
OCR Document via Base64 Encoded Binary Representation
POST /v1/documents/ocr/base64

A POST method that performs Optical Character Recognition (OCR) on a document using a base64 encoded binary representation of the document. The results will be returned as a string.

Example Request
POST /v1/documents/ocr/base64
Request Headers
  • Content-Type: application/json
  • Authorization: Bearer YourAuthTokenHere
Query Parameters
  • filename (optional): The identification of the file (filename).
  • password (optional): Password of encrypted file.
Request Body
"Base64EncodedBinaryRepresentationOfTheDocument"
                
import requests
import base64

def ocr_document():
    url = "https://.cargoinvoice.com/v1/documents/ocr/base64"
    headers = {"Authorization": "Bearer [API_KEY]"}
    params = {
        "filename": "document.pdf",
        "password": "secretpassword"
    }
    with open("document.pdf", "rb") as file:
        file_data = file.read()
        encoded_data = base64.b64encode(file_data).decode("utf-8")
        payload = {"base64": encoded_data}

        response = requests.post(url, headers=headers, params=params, json=payload)
        response.raise_for_status()

        print(response.text)

ocr_document()
package main

import (
    "fmt"
    "io/ioutil"
    "net/http"
    "net/url"
    "strings"
)

func main() {
    ocrDocument()
}

func ocrDocument() {
    baseURL := "https://.cargoinvoice.com/v1/documents/ocr/base64"
    apiKey := "[API_KEY]"
    filename := "document.pdf"
    password := "secretpassword"

    fileData, err := ioutil.ReadFile(filename)
    if err != nil {
        fmt.Println("Error reading file:", err)
        return
    }

    encodedData := base64.StdEncoding.EncodeToString(fileData)

    params := url.Values{}
    params.Set("filename", filename)
    params.Set("password", password)

    payload := strings.NewReader(fmt.Sprintf(`{"base64": "%s"}`, encodedData))

    client := &http.Client{}
    req, err := http.NewRequest("POST", baseURL, payload)
    if err != nil {
        fmt.Println("Error creating request:", err)
        return
    }

    req.Header.Set("Authorization", "Bearer "+apiKey)
    req.URL.RawQuery = params.Encode()

    resp, err := client.Do(req)
    if err != nil {
        fmt.Println("Error making request:", err)
        return
    }
    defer resp.Body.Close()

    body, err := ioutil.ReadAll(resp.Body)
    if err != nil {
        fmt.Println("Error reading response:", err)
        return
    }

    fmt.Println(string(body))
}
<?php

function ocrDocument() {
    $baseUrl = "https://.cargoinvoice.com/v1/documents/ocr/base64";
    $apiKey = "[API_KEY]";
    $filename = "document.pdf";
    $password = "secretpassword";

    $fileData = file_get_contents($filename);
    $encodedData = base64_encode($fileData);

    $params = array(
        "filename" => $filename,
        "password" => $password
    );

    $query = http_build_query($params);
    $url = $baseUrl . '?' . $query;

    $headers = array(
        "Authorization: Bearer " . $apiKey,
        "Content-Type: application/json"
    );

    $payload = json_encode(array("base64" => $encodedData));

    $ch = curl_init();
    curl_setopt($ch, CURLOPT_URL, $url);
    curl_setopt($ch, CURLOPT_POST, true);
    curl_setopt($ch, CURLOPT_POSTFIELDS, $payload);
    curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);
    curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);

    $response = curl_exec($ch);

    if ($response === false) {
        echo "Error: " . curl_error($ch);
    } else {
        echo $response;
    }

    curl_close($ch);
}

ocrDocument();
using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;

class Program
{
    private static readonly HttpClient client = new HttpClient();

    static void Main(string[] args)
    {
        OcrDocument().Wait();
    }

    private static async Task OcrDocument()
    {
        try
        {
            client.DefaultRequestHeaders.Authorization = new System.Net.Http.Headers.AuthenticationHeaderValue("Bearer", "[API_KEY]");

            var queryParams = new System.Collections.Specialized.NameValueCollection
            {
                { "filename", "document.pdf" },
                { "password", "secretpassword" }
            };

            var query = new System.Net.Http.FormUrlEncodedContent(queryParams);

            using (var fileStream = new System.IO.FileStream("document.pdf", System.IO.FileMode.Open))
            using (var content = new System.Net.Http.StreamContent(fileStream))
            {
                content.Headers.Add("Content-Type", "application/pdf");

                var response = await client.PostAsync("https://.cargoinvoice.com/v1/documents/ocr/base64" + query.ReadAsStringAsync().Result, content);
                response.EnsureSuccessStatusCode();

                string responseBody = await response.Content.ReadAsStringAsync();

                Console.WriteLine(responseBody);
            }
        }
        catch (HttpRequestException e)
        {
            Console.WriteLine($"Error: {e.Message}");
        }
    }
}

In this code, we define a simple program with a single method `OcrDocument`.

This method first sets up the authentication header by adding the bearer token to the HttpClient's default headers.

Then, it constructs the query parameters using a `System.Collections.Specialized.NameValueCollection` object.

It converts the query parameters to a `System.Net.Http.FormUrlEncodedContent` object and appends it to the request URL.

The method also constructs the request body as a string and creates a `System.Net.Http.StringContent` object with UTF8 encoding and "application/json" media type.

If the request fails for any reason, an HttpRequestException will be thrown and the method will catch it and print the error message to the console.

If the request is successful, the method will read the response body as a string and print it to the console.

Query Parameters:

  • filename (optional): The identification of the file (filename).
  • password (optional): Password of encrypted file.

Parse Documents

Transformieren Sie Ihren Dokumentenverarbeitungsprozess mit einem fortschrittlichen, KI-gestützten Datenextraktionssystem, das Ihnen hilft, intelligentere Entscheidungen zu treffen.