AI Document Extractor on Azure-DocLoom

Turn real-world documents into accurate, structured data — without losing context.

Organizations deal with large volumes of unstructured documents every day — invoices, medical records, legal files, forms, and reports. These documents often include complex layouts, handwritten content, and signatures that basic OCR tools struggle to handle. When text is extracted without context or structure, downstream automation becomes unreliable.

DocLoom is an AI-powered document intelligence solution designed to handle real-world documents at scale. It understands both the content and the layout of a document, transforming unstructured files into clean, structured outputs that are ready for review, automation, or integration into existing systems.

DocLoom supports two core modes:

1. Parse, which focuses on accurate text extraction with layout preservation

2. Extract, which enables structured data and insight extraction based on user-defined schemas.

Key features and benefits include:

• Intelligent text extraction with layout preservation and multilingual support
• Support for handwritten text, signatures, and complex document formats
• Schema-driven data extraction for capturing specific fields and insights
• Confidence scoring for extracted fields to support validation and trust
• Automatic routing to the most suitable OCR engines for higher accuracy
• Programmatic access through APIs and SDKs for easy integration into workflows

DocLoom is built for teams that need reliable document understanding across industries such as healthcare, finance, legal, and operations — without heavy setup or manual effort.

Contact: support@elsaifoundry.ai

https://www.wetransact.io/