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
- AdvancedExtractClassificationRequest
- AdvancedExtractFieldsRequest
- DocumentAdvancedClassificationResult
- DocumentCategories
- DocumentClassificationResult
- DocumentPolicyRequest
- DocumentPolicyResult
- DocumentQuestionAnswerItem
- DocumentQuestionAnswersResult
- DocumentQuestionBoolean
- DocumentQuestionChoiceItem
- DocumentQuestionFreeResponse
- DocumentQuestionMultipleChoice
- DocumentQuestionsRequest
- ExtractBarcodesAiResponse
- ExtractDocumentBatchJobResult
- ExtractDocumentJobStatusResult
- ExtractFieldsAdvancedResponse
- ExtractFieldsAndTablesResponse
- ExtractFieldsResponse
- ExtractTablesResponse
- ExtractTextResponse
- ExtractedBarcodeItem
- ExtractedTextPage
- FieldAdvancedValue
- FieldToExtract
- FieldValue
- PolicyRule
- PolicyRuleViolation
- SplitDocumentResponse
- SubDocument
- SummarizeDocumentResponse
- TableResult
- TableResultCell
- TableResultRow
Documentation For Authorization
Apikey
- Type: API key
- API key parameter name: Apikey
- Location: HTTP header
Author
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。
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。
线上偶发问题、内存泄漏、慢查询、并发异常等排查修复;针对高流量场景做缓存、队列、索引层面的调优。
承接完整的项目从需求 → 设计 → 开发 → 上线 → 长期运维;也可按月提供技术保姆服务。
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统计信息
- 总下载量: 0
- 月度下载量: 0
- 日度下载量: 0
- 收藏数: 0
- 点击次数: 17
- 依赖项目数: 0
- 推荐数: 0
其他信息
- 授权协议: proprietary
- 更新时间: 2025-11-15