DocuXray.ai Our product simplifies the extraction of data from unstructured documents such as PDFs, JPEGs, emails, bots, scanned documents, invoices etc. by automatically structuring the extracted data according to clients' specific needs. Designed to accelerate workflows and streamline processes, it delivers quick, accurate results, allowing businesses to focus on what matters most. Embrace the power of automation with our cutting-edge technology and unlock actionable insights faster than ever before.
Core Solutions
Tabs Xelp | Data-driven Tech for Smart Business Solutions
- Supports PDFs, contracts, and attachments.
- Extracts data from structured and unstructured documents.
- Handles high-volume processing efficiently.
- Connects with SAP, Salesforce, ServiceNow.
- Integrates with chat and email services.
- Embeds seamlessly into existing workflows.
- Customizable front-end integration.
- Includes AI agent and API framework.
- Tailored user interfaces for ease of use.
- Supports Real-time search and data access.
- Trigger-based document retrieval.
- Supports hierarchical navigation.
- Advanced queue management.
- Reduces hardware and GPU costs.
- Ensures fast, efficient processing.
Use Cases
Contract Management
- Extracts key data such as terms, parties, and renewal dates from contracts.
- 7x faster processing and reduction of manual work.
- Enhances compliance and tracking of contractual obligations. Customised dashboard & business intelligence and search.
Revenue Reconciliation
- Extracts data from invoices and transaction records.
- Automates revenue tracking and reconciliation.
- Identifies discrepancies and ensures financial accuracy.
Medical Claim Processing
- Extracts Patient details, diagnosis codes, and billing information from EHRs.
- Accelerates claim submissions and approvals.
- Ensures compliance with healthcare regulations and faster claim settlements.
Understanding Intelligent Document Processing Architecture
An overview of the key components and technologies involved
Tabs Xelp | Data-driven Tech for Smart Business Solutions Document Ingestion
Acquisition of documents from different sources to initiate processing.
Pre Processing
Enhance document quality for data extraction through various techniques.
Data Extraction
Extract relevant information using NLP and ML techniques, ensuring data accuracy OCR, ICR, IMR.
Classification
Categorize documents by content to streamline retrieval and processing.
Post Processing
Refinement of extracted data to ensure it meets quality standards.
Context
LLMs grasp the meaning and context of text, which is critical for parsing unstructured or semi-structured document content.
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