Detección automática de campos del documento.

Nuestros analizadores reconocen de forma inteligente y detectan automáticamente valores de campo únicos de los documentos cargados.

Reconocimiento de idioma de documentos

Detecta el idioma de documentos, imágenes y archivos PDF escaneados o impresos.

Reconocimiento óptico de caracteres (OCR)

Convierta documentos escaneados o impresos, incluidas imágenes y archivos PDF, en texto legible por máquina.

Integración y automatización

Nuestros analizadores de documentos se pueden integrar en sistemas de software o procesos de trabajo existentes.

API de reconocimiento óptico de caracteres (OCR)

Parse Documents es un conjunto sólido de API diseñado para cumplir con todos los requisitos de análisis de documentos. Nuestro objetivo es simplificar el complejo proceso de gestión de documentos, ya sea búsqueda, análisis o manejo de errores. Estos incluyen una clasificación sencilla de páginas, una amplia gama de tipos de documentos compatibles y un informe exhaustivo de errores.

Versatilidad y flexibilidad

Al utilizar nuestras diversas API, no solo puede leer los documentos cargados, sino también ponerlos en cola para su análisis mediante carga directa o enlace externo. Nuestras API están diseñadas teniendo en cuenta la naturaleza dinámica de los negocios, lo que les permite adaptarse sin problemas a una variedad de necesidades y configuraciones comerciales.

Configuración de arrogancia

Las API están codificadas de acuerdo con la especificación OpenAPI (OAS), lo que hace que el proceso de integración sea sencillo y sin complicaciones. Proporcionamos documentación extensa basada en la interfaz de usuario de Swagger que detalla las posibles respuestas y los posibles códigos de estado y error.

Tu seguridad es nuestra prioridad

Todas las solicitudes de API se autentican mediante encabezados JWT para máxima seguridad. Esto garantiza que los datos confidenciales de sus documentos siempre estarán protegidos.

Empecemos

Estamos entusiasmados de tenerlo a bordo y estamos ansiosos por ver cómo integra y maximiza los beneficios de Parse Documents en sus operaciones de gestión de documentos.

Asegúrese de reemplazar "YourAuthTokenHere" con el token de portador real.
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

Transforme su proceso de procesamiento de documentos con un sistema avanzado de extracción de datos impulsado por IA que lo ayuda a tomar decisiones más inteligentes.