Zonov Vista: An Enterprise Vision Intelligence Model for Multilingual Document Understanding and Structured Information Extraction

Zonov Vista is a general-purpose document intelligence and vision model developed by Zonov.ai. It parses printed, handwritten and mixed documents in English, Hindi and nine further Indian languages directly from the page image into structured JSON, without templates or a separate OCR stage, and copies every value exactly as it appears on the page. The model has about 8 billion parameters, runs on a single GPU, and does not retain documents after processing. The research presents the model's document processing capabilities, including multilingual OCR, layout understanding, contextual analysis, handwritten text recognition, and structured data extraction. Zonov Vista is intended for diverse enterprise applications, including invoices, receipts, forms, applications, financial statements, certificates, reports, and other business documents. This paper presents its technical approach, evaluation methodology, benchmark results, and potential applications in intelligent document processing.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-05
DOI
https://doi.org/10.5281/zenodo.23974491
Primary Topic
Handwritten Text Recognition Techniques
Type
article
Field-Weighted Citation Impact
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article

Zonov Vista: An Enterprise Vision Intelligence Model for Multilingual Document Understanding and Structured Information Extraction

Ankit Kumar, Lavi Bansal, Akash Rajpoot, Arvind Chawala et al.
Zenodo (CERN European Organization for Nuclear Research)
Handwritten Text Recognition Techniques
article

Zonov Vista: An Enterprise Vision Intelligence Model for Multilingual Document Understanding and Structured Information Extraction

Ankit Kumar, Lavi Bansal, Akash Rajpoot, Arvind Chawala, Dr. Parul Panwar
article en

Abstract

Zonov Vista is a general-purpose document intelligence and vision model developed by Zonov.ai. It parses printed, handwritten and mixed documents in English, Hindi and nine further Indian languages directly from the page image into structured JSON, without templates or a separate OCR stage, and copies every value exactly as it appears on the page. The model has about 8 billion parameters, runs on a single GPU, and does not retain documents after processing. The research presents the model's document processing capabilities, including multilingual OCR, layout understanding, contextual analysis, handwritten text recognition, and structured data extraction. Zonov Vista is intended for diverse enterprise applications, including invoices, receipts, forms, applications, financial statements, certificates, reports, and other business documents. This paper presents its technical approach, evaluation methodology, benchmark results, and potential applications in intelligent document processing.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 20%
Handwritten Text Recognition Techniques
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