Détection automatique des champs du document

Nos analyseurs reconnaissent intelligemment et détectent automatiquement les valeurs de champ uniques des documents téléchargés.

Reconnaissance de la langue du document

Détectez la langue des documents numérisés ou imprimés, des images et des fichiers PDF.

Reconnaissance optique de caractères (OCR)

Convertissez des documents numérisés ou imprimés, y compris des images et des fichiers PDF, en texte lisible par machine.

Intégration et automatisation

Nos analyseurs de documents peuvent être intégrés dans des systèmes logiciels ou des processus de travail existants.

API de reconnaissance optique de caractères (OCR)

Parse Documents est un ensemble robuste d'API conçues pour répondre à toutes les exigences d'analyse de documents. Notre objectif est de simplifier le processus complexe de gestion des documents, qu'il s'agisse de recherche, d'analyse ou de gestion des erreurs. Ceux-ci incluent un tri facile des pages, un large éventail de types de documents pris en charge et un rapport d'erreurs approfondi.

Polyvalence et flexibilité

Grâce à nos différentes API, vous pouvez non seulement lire les documents téléchargés, mais également mettre les documents en file d'attente pour analyse par téléchargement direct ou par lien externe. Nos API sont conçues en tenant compte de la nature dynamique de l’entreprise, leur permettant de s’adapter de manière transparente à une variété de besoins et de configurations commerciales.

Configuration fanfaronne

Les API sont codées selon la spécification OpenAPI (OAS), ce qui rend le processus d'intégration simple et sans tracas. Nous fournissons une documentation complète basée sur l'interface utilisateur Swagger qui détaille les réponses possibles ainsi que les codes d'état et d'erreur possibles.

Votre sécurité est notre priorité

Toutes les requêtes API sont authentifiées à l'aide des en-têtes JWT pour une sécurité maximale. Cela garantit que les données sensibles de vos documents seront toujours protégées.

Commençons

Nous sommes ravis de vous compter parmi nous et avons hâte de voir comment vous intégrerez et maximiserez les avantages de Parse Documents dans vos opérations de gestion de documents !

Assurez-vous de remplacer "YourAuthTokenHere" par le jeton du porteur réel.
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://.parsedocument.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://.parsedocument.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 = ".parsedocument.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://.parsedocument.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://.parsedocument.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://.parsedocument.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://.parsedocument.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://.parsedocument.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

Transformez votre processus de traitement de documents avec un système d'extraction de données avancé basé sur l'IA qui vous aide à prendre des décisions plus intelligentes.