AI-Powered Document Understanding for Multilingual Invoice Processing

AI-Powered Document Understanding for Multilingual Invoice Processing

Use Case Description

Develop an AI-driven Document Understanding (DU) system designed to process invoices in multiple languages while ensuring all extracted data is stored exclusively in English. The system effectively handles English, French, German, and Spanish invoices using UiPath Extended Language OCR and a Machine Learning (ML) Extractor. However, processing Chinese, Japanese, and Korean (CJK) invoices presents challenges due to limitations in UiPath Document Understanding’s capabilities.

To address this, the system follows a structured workflow:

  1. Digitization – Convert scanned or image-based invoices into machine-readable text using UiPath’s Extended Language OCR for supported languages. For CJK languages, alternative OCR solutions may be explored to improve accuracy.
  2. Classification – Automatically identify and categorize invoices based on language, vendor, invoice type, or country of origin. This ensures the correct processing logic is applied based on language complexity.
  3. Data Extraction – Extract key invoice details such as invoice number, date, total amount, tax breakdown, and supplier information. While English, French, German, and Spanish invoices can be processed with ML-based extraction, CJK invoices may require additional training, fine-tuning, or alternative approaches due to inherent complexities.
  4. Translation & Export – A key challenge is determining the optimal stage for translation:
    o Current Approach: Extract data in its native language first, then translate it into English
    before storing.
    o Alternative Approach: Perform OCR and translation before processing invoices, ensuring all
    documents are in English at the classification and extraction stages. This could enhance
    processing accuracy and confidence in extracted data.

This strategic decision impacts overall processing efficiency, extraction accuracy, and system adaptability. By evaluating translation placement within the workflow, the system aims to optimize multilingual invoice processing while maintaining data integrity and consistency.

[NOTE: This content is NOT generated by AI; however, AI has been utilized to improve the language for better readability and user understanding.]

AS-IS WORKFLOW, TO-BE WORKFLOW

Other information about the use case

Industry categories for this use case: Finance

Skill level required: Advanced

UiPath Products that were used: UiPath Studio, UiPath Action Center, UiPath AI Center, UiPath Document Understanding, UiPath Orchestrator

Other applications that were used: UiPath Document Understanding OCR.

Other resources: -

What is the top ROI driver for this use case?: Minimize risk and ensure compliance in operations

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