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cloudmersive/cloudmersive_documentai_api_client

Composer 安装命令:

composer require cloudmersive/cloudmersive_documentai_api_client

包简介

README 文档

README

Extract structured data including named fields, tables, barcodes, classifications, and summaries from common document formats, scanned documents, and photos of documents using AI. Also supports handwriting and low quality photos and scans, as well as digital document input. Supports a wide range of languages, and is able to analyze and infer semantic structure from the visual layout for documents.

Cloudmersive Document AI API provides advanced field and data extraction capabilities.

  • API version: v1
  • Package version: 3.2.1

For more information, please visit https://www.cloudmersive.com

Requirements

PHP 5.5 and later

Installation & Usage

Composer

To install the bindings via Composer, add the following to composer.json:

{
  "repositories": [
    {
      "type": "git",
      "url": "https://github.com/cloudmersive/cloudmersive_documentai_api_client.git"
    }
  ],
  "require": {
    "cloudmersive/cloudmersive_documentai_api_client": "*@dev"
  }
}

Then run composer install

Manual Installation

Download the files and include autoload.php:

    require_once('/path/to/cloudmersive_documentai_api_client/vendor/autoload.php');

Tests

To run the unit tests:

composer install
./vendor/bin/phpunit

Getting Started

Please follow the installation procedure and then run the following:

<?php
require_once(__DIR__ . '/vendor/autoload.php');

// Configure API key authorization: Apikey
$config = Swagger\Client\Configuration::getDefaultConfiguration()->setApiKey('Apikey', 'YOUR_API_KEY');
// Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
// $config = Swagger\Client\Configuration::getDefaultConfiguration()->setApiKeyPrefix('Apikey', 'Bearer');

$apiInstance = new Swagger\Client\Api\AnalyzeApi(
    // If you want use custom http client, pass your client which implements `GuzzleHttp\ClientInterface`.
    // This is optional, `GuzzleHttp\Client` will be used as default.
    new GuzzleHttp\Client(),
    $config
);
$body = new \Swagger\Client\Model\DocumentQuestionsRequest(); // \Swagger\Client\Model\DocumentQuestionsRequest | Input request, including document and questions

try {
    $result = $apiInstance->answerQuestions($body);
    print_r($result);
} catch (Exception $e) {
    echo 'Exception when calling AnalyzeApi->answerQuestions: ', $e->getMessage(), PHP_EOL;
}

?>

Documentation for API Endpoints

All URIs are relative to https://api.cloudmersive.com

Class Method HTTP request Description
AnalyzeApi answerQuestions POST /document-ai/document/analyze/answer-questions Answer Questions about a Document in a structured way using Advanced AI
AnalyzeApi applyRules POST /document-ai/document/analyze/enforce-policy Enforce Policies to a Document to allow or block it using Advanced AI
ExtractApi extractAllFieldsAndTables POST /document-ai/document/extract/all Extract All Fields and Tables of Data from a Document using AI
ExtractApi extractBarcodes POST /document-ai/document/extract/barcodes Extract Barcodes of from a Document using AI
ExtractApi extractClassification POST /document-ai/document/extract/classify Extract Classification or Category from a Document using AI
ExtractApi extractClassificationAdvanced POST /document-ai/document/extract/classify/advanced Extract Classification or Category from a Document using Advanced AI
ExtractApi extractFields POST /document-ai/document/extract/fields Extract Field Values from a Document using AI
ExtractApi extractFieldsAdvanced POST /document-ai/document/extract/fields/advanced Extract Field Values from a Document using Advanced AI
ExtractApi extractSplit POST /document-ai/document/extract/split Intelligently Split a Combined Document into Sub-Documents using AI
ExtractApi extractSummary POST /document-ai/document/extract/summary Extract Summary from a Document using AI
ExtractApi extractTables POST /document-ai/document/extract/tables Extract Tables of Data from a Document using AI
ExtractApi extractText POST /document-ai/document/extract/text Extract Text from a Document using AI
RunBatchJobApi extractAllFieldsAndTablesFromDocumentBatchJob POST /document-ai/document/batch-job/extract/all Extract All Fields and Tables of Data from a Document using AI as a Batch Job
RunBatchJobApi extractClassificationFromDocumentBatchJob POST /document-ai/document/batch-job/extract/classify Extract Classification or Category from a Document using AI as a Batch Job
RunBatchJobApi extractFieldsFromDocumentAdvancedBatchJob POST /document-ai/document/batch-job/extract/fields/advanced Extract Field Values from a Document using Advanced AI as a Batch Job
RunBatchJobApi extractTextFromDocumentBatchJob POST /document-ai/document/batch-job/extract/text Extract Text from a Document using AI as a Batch Job
RunBatchJobApi getAsyncJobStatus GET /document-ai/document/batch-job/batch-job/status Get the status and result of an Extract Document Batch Job

Documentation For Models

Documentation For Authorization

Apikey

  • Type: API key
  • API key parameter name: Apikey
  • Location: HTTP header

Author

support@cloudmersive.com

cloudmersive/cloudmersive_documentai_api_client 适用场景与选型建议

cloudmersive/cloudmersive_documentai_api_client 是一款 基于 PHP 开发的 Composer 扩展包,目前已累计 0 次下载、GitHub Stars 达 0, 最近一次更新时间为 2025 年 11 月 15 日, 在 PHP 生态内属于活跃度较高的组件。

它主要适用于以下技术方向: 「php」 「api」 「sdk」 「swagger」 等业务场景。在实际项目中,围绕这些方向常见需要落地的问题包括:接口对接、性能调优、并发安全、与既有框架(Laravel / ThinkPHP / Yii / Webman 等)的兼容适配,以及生产环境的日志埋点与稳定性保障。

我们在过去多个企业项目中使用过 cloudmersive/cloudmersive_documentai_api_client 或与其功能相近的方案,如果你在选型或落地过程中遇到问题,例如 版本兼容、二次改造、私有化封装、与内部系统对接、生产 BUG 排查,欢迎联系我们协助评估。

围绕 cloudmersive/cloudmersive_documentai_api_client 我们能提供哪些服务?
定制开发 / 二次开发

基于 cloudmersive/cloudmersive_documentai_api_client 在你已有业务上做功能扩展、字段裁剪、UI 适配、与内部账号 / 权限 / 日志系统的深度对接。

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统计信息

  • 总下载量: 0
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GitHub 信息

  • Stars: 0
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  • Forks: 0
  • 开发语言: PHP

其他信息

  • 授权协议: proprietary
  • 更新时间: 2025-11-15