![SAUMYARANJAN M.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "SAUMYARANJAN M.")
SM

SAUMYARANJAN M.

Data Engineer

Small-Business (50 or fewer emp.)

10/23/2024

"Azure AI Document Review"

4/5

What do you like best about Azure AI Document Intelligence?

v4.0 API (GA) – A unified, stable REST API with updated SDKs across Python, .NET, Java, etc., improving consistency and performance.

Improved Read & Layout Models – Better OCR accuracy, hierarchical document structure, and support for generating searchable PDFs.

Enhanced Prebuilt Models – Stronger extraction for invoices, receipts, bank statements, tax forms, pay stubs, and other business documents.

Advanced Classification & Model Compose – Automatically classify documents, split multi-document PDFs, and route them to the right extraction model.

Batch Processing & Containers – Batch APIs now support all models, plus containerized Read/Layout models for on-prem or hybrid deployments. Review collected by and hosted on G2.com.

What do you dislike about Azure AI Document Intelligence?

Higher accuracy on complex layouts

Struggles still occur with heavily nested tables, multi-column PDFs, handwritten notes mixed with print, and low-quality scans.

Better multilingual & regional support

Accuracy for Indian regional languages, mixed-language documents, and non-Latin scripts can be improved, especially in tables.

Easier custom model training

Training custom models still requires careful labeling and data preparation; more low-code / auto-labeling capabilities would help. Review collected by and hosted on G2.com.

What problems is Azure AI Document Intelligence solving and how is that benefiting you?

It is helping me in realtime technical blockers in my day to day work Review collected by and hosted on G2.com.

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Rating Updated (12/21/2025)
Validated ReviewerIncentivizedSource: G2 invite

See what 19 reviewers think of Azure AI Document Intelligence

4.4 out of 5 · Verified reviews from real users

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