DocuWizard
Agentic Document Intelligence for Enterprise Workflow Automation
Enterprise-grade Intelligent Document Processing (IDP) with zero-shot extraction and layout-aware LLMs.
DocuPro AI represents the 2026 frontier of Intelligent Document Processing (IDP), transitioning from traditional template-based OCR to a multi-modal LLM architecture. Built on a proprietary Layout-Aware Transformer (LAT) framework, DocuPro processes unstructured documents—including handwritten notes, complex financial tables, and nested legal clauses—with 99.2% accuracy. Unlike legacy systems, DocuPro utilizes zero-shot learning, allowing enterprises to define extraction schemas in plain natural language without the need for manual labeling or model training. Its architecture is designed for high-throughput environments, featuring a distributed processing engine that handles millions of pages per hour. The platform integrates seamlessly into modern DevOps pipelines via a robust REST API and native webhooks, supporting on-premise, cloud, and hybrid deployments. As of 2026, DocuPro has positioned itself as the primary infrastructure layer for financial services, legal firms, and healthcare providers who require SOC2-compliant, high-speed data extraction that preserves spatial context and semantic meaning across multi-page, multi-lingual document sets.
Uses vision-language models (VLM) to understand the spatial relationship between text blocks, tables, and checkboxes.
Agentic Document Intelligence for Enterprise Workflow Automation
Enterprise-grade AI Document Intelligence for Automated Workflows.
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Allows users to define what to extract using natural language rather than regex or position-based templates.
Identifies and redacts sensitive data (SSN, names, addresses) using context-aware NLP before the file hits the database.
Assigns a probability score to every extracted field and routes low-confidence items to human reviewers.
Automatically cross-references data between multiple documents (e.g., comparing an invoice against a PO).
Advanced neural networks optimized for cursive and messy handwriting on forms.
Creates an immutable hash of the document and its extraction results on a private ledger.
Manual entry of thousands of multi-vendor invoices leads to errors and late fees.
Registry Updated:2/7/2026
Exceptions are flagged for manual approval.
Slow verification of identity documents increases customer drop-off rates.
Attorneys spending hours identifying 'Change of Control' or 'Indemnity' clauses.