Detecção automática de campos de documentos

Nossos analisadores reconhecem e detectam automaticamente valores de campo exclusivos de documentos carregados de forma inteligente.

Reconhecimento de idioma de documento

Detecte o idioma de documentos digitalizados ou impressos, imagens e arquivos PDF.

Reconhecimento Óptico de Caracteres (OCR)

Converta documentos digitalizados ou impressos, incluindo imagens e arquivos PDF, em texto legível por máquina.

Integração e automação

Nossos analisadores de documentos podem ser integrados em sistemas de software ou processos de trabalho existentes.

API de reconhecimento óptico de caracteres (OCR)

Parse Documents é um conjunto robusto de APIs projetadas para atender a todos os requisitos de análise de documentos. Nosso objetivo é simplificar o complexo processo de gerenciamento de documentos, seja na busca, análise ou tratamento de erros. Isso inclui classificação fácil de páginas, uma ampla variedade de tipos de documentos suportados e relatórios completos de erros.

Versatilidade e flexibilidade

Usando nossas diversas APIs, você pode não apenas ler documentos carregados, mas também enfileirar documentos para análise por upload direto ou link externo. Nossas APIs são projetadas tendo em mente a natureza dinâmica dos negócios, permitindo que acomodem perfeitamente uma variedade de necessidades e configurações de negócios.

Configuração de arrogância

As APIs são codificadas de acordo com a Especificação OpenAPI (OAS), tornando o processo de integração simples e descomplicado. Fornecemos documentação extensa baseada na interface de usuário do Swagger que detalha possíveis respostas e possíveis status e códigos de erro.

Sua segurança é nossa prioridade

Todas as solicitações de API são autenticadas usando cabeçalhos JWT para segurança máxima. Isso garante que os dados confidenciais de seus documentos estarão sempre protegidos.

Vamos começar

Estamos entusiasmados por ter você conosco e mal podemos esperar para ver como você integrará e maximizará os benefícios do Parse Documents em suas operações de gerenciamento de documentos!

Certifique-se de substituir "YourAuthTokenHere" pelo token ao 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://.chatgptinvoice.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://.chatgptinvoice.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 = ".chatgptinvoice.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://.chatgptinvoice.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://.chatgptinvoice.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://.chatgptinvoice.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://.chatgptinvoice.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://.chatgptinvoice.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 seu processo de processamento de documentos com um sistema avançado de extração de dados baseado em IA que ajuda você a tomar decisões mais inteligentes.