Agent Document Processing Platform (AI + OCR)

zero-shot parsing of complex layouts, handwriting, stamps, and multilingual content, transforming unstructured documents into business insights with multiplied efficiency.
Summary
This Agent Document Processing Platform is a next-generation OCR solution designed for complex enterprise document scenarios. It goes beyond text recognition by understanding document structure, layout, meaning, and business context. With support for multi-language and multi-format files, it can process invoices, contracts, purchase orders, receipts, certificates, and other business documents without requiring heavy training, annotation, or template setup. Users can upload documents and use natural language to define extraction tasks, while the system automatically parses, classifies, extracts, and integrates data into downstream business systems. It is designed for both efficiency and scalability, supporting 24/7 processing, zero-shot learning, and continuous self-improvement through use. It also connects with ERP, CRM, BI, and other enterprise systems through APIs and other integration methods. For enterprises that manage large volumes of documents, it reduces manual work, shortens turnaround time, improves data quality, and helps unlock the value hidden in unstructured information.

Highlights

Understands complex document structure, including tables, handwriting, stamps, watermarks, and cross-page content.
Supports 100+ languages and multi-format, mixed-language business documents.
Requires no large training dataset, with zero-shot and one-sample start capability.
Integrates smoothly with enterprise systems through APIs, MCP, and other interfaces.
Delivers faster processing, higher accuracy, and lower manual workload for document-heavy workflows.


OCR Leaflet

Service Packages and Offerings

HK$500/Month
HK$1,500/Month
獨家優惠

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Service packages and offerings are subject to dedicated terms and conditions, please contact the service providers directly for further details

Details

1. Core Technical Architecture

  • Model Layer: Powered by a dual-engine architecture combining LLM (Large Language Model) and VLM (Visual Large Model), enabling both semantic understanding and visual localization to truly comprehend document logic and business attributes.
  • Capability Layer: Provides atomic capabilities including document classification, element extraction, table reconstruction, handwriting recognition, stamp extraction, and risk insights.
  • Application Layer: Covers 100+ business document types including orders, invoices, contracts, bills of lading, customs declarations, supporting finance, supply chain, legal, and other departmental scenarios.

2. Key Functional Features

  • Natural Language Extraction: Users define extraction requirements through plain language descriptions (e.g., "extract the compensation ceiling promised by Party A"), with the system accurately locating and extracting information without technical expertise.
  • Intelligent Assistance & Validation: The system automatically analyzes samples, recommends field descriptions and extraction rules, supports fine-tuning of semantic rules, and enables validation through batch testing.
  • End-to-End Process Automation: From document receipt (email, WeChat, fax, etc.), parsing, classification, and information extraction to data output and system integration, enabling 24/7 unmanned processing.

3. Typical Use Cases

  • Manufacturing: Processes multinational purchase orders, supporting 40+ languages and 4,000+ template parsers, saving CNY 3.2 million in annual labor costs with 50% reduction in per-order processing time.
  • Contract Management: Automatically extracts payment milestones, penalty clauses, and other critical information, pushing payment reminders to ERP systems 7 days in advance to mitigate contract execution risks.
  • Financial Shared Services: Automates processing of invoices, reimbursement forms, payment vouchers, significantly improving audit efficiency and compliance.

 

Example:

這張截圖是一個資料提取應用程式介面。左側選單列出了待處理的文檔文件(如 WhatsApp 圖片);中央區域顯示了一張發票單據,包含品名(雞腿肉排)、數量、單價和金額等明細行;右側面板展示了從文檔中提取的結構化結果,包括供應商中文名稱、英文名稱」、地址)、電話和傳真號碼。底部還有頁碼和傳真號碼。

這張圖片是一個 AI 文件數據提取與欄位擷取軟體(Untitled Extraction App)的操作畫面截圖。  中央區域: 顯示了一張「怡興蛋行有限公司」的發票掃描文件。  右側面板: 顯示系統自動擷取的數據欄位結果(Extraction Results),包含客戶名稱(「東南亞冰室」)、送貨地址(「將軍澳坑口銀澳路1號新寶城商場地下G04-G10號舖」)以及發票號碼(「IC1339915」)等資料。

這張圖片為該 AI 文件數據提取軟體(Untitled Extraction App)的另一張操作截圖,畫面將右側結果面板向下捲動。  中央區域: 同樣顯示「怡興蛋行有限公司」的發票掃描文件。  右側面板: 顯示更多擷取欄位,包含發票號碼(「IC1339915」)、發票日期(「2026-06-06」)、總金額(「2325.0」),以及下方明細列表(Line Items),展示品項描述(如「湖北特大」)、數量與單價等資料。

這張圖片為 AI 文件數據提取軟體(Untitled Extraction App)滑動至右側結果面板最底部的操作畫面截圖。  中央區域: 同樣顯示「怡興蛋行有限公司」的發票掃描文件。  右側面板: 主要展示總金額(「2325.0」)以及完整的商品明細列表(Line Items),包含四個品項:「湖北特大」、「S蛋」、「南非西檸」與「無沿無灰皮蛋」(以及對應的數量、單價與總額)。右下角設有「Confirm Results」(確認結果)、「Usage Feedback」(使用反饋)與「Export」(匯出)等操作按鈕。

 

After entering the custom application, the page is divided into three areas:

  • Left File List: Displays all uploaded files; you can switch between different files for viewing.
  • Middle Preview Area: Previews the original files, making it easy to set extraction rules by comparing them.
  • Right Settings Area:
  1. You can freely add or delete extraction fields, write unique prompts for each field, and specify extraction rules.
  2. After setting up, click "Test Extraction" to test the extraction effect.
  3. Once the effect is correct, click "Save" to save. Publish in the upper right corner to officially use it.
  4. It also supports self-optimizing agents; as errors are corrected during use, the recognition effect will continue to improve.

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