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October 1, 2025The American Journal of Engineering And TechnologyOpen Access

Overcoming the Real-World Pitfalls of Google Document AI

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Authors

OTOleksandr Tserkovnyi

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Overview

This analysis highlights feature gaps in google document ai and proposes solutions for efficient processing.

Key Points

  • The proposed architecture improves processing speeds and reliability for legal document analysis.
  • Pre-sanitization and batch processing yielded a tenfold speed increase for structured data extraction.
  • Microservice architecture with message queues effectively addresses real-world document parsing challenges.
  • Workflow developers can enhance performance in legal tech projects using robust cloud-based solutions.

Cite This Study

Oleksandr Tserkovnyi (2025) studied this question.

synapsesocial.com/papers/68dd91c7fe798ba2fc4984a5https://doi.org/10.37547/tajet/volume07issue09-17
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