Compare DocView Capture vs. Unsiloed

DocView Capture is an advanced software solution for document capture and intelligent processing that operates in the cloud. It accommodates browser-based scanning utilizing TWAIN/WIA scanners and can seamlessly import various file types, including PDFs, TIFFs, and images from a multitude of sources such as email, local folders, SharePoint, S3, or through REST APIs. The system enhances image quality, organizes documents by utilizing barcodes or identifying blank pages, classifies content through established rules or machine learning algorithms, and extracts relevant data points using advanced technologies like OCR, handwriting and checkbox recognition, line-item tables, as well as AI systems from providers such as Azure, Google, AWS, Claude, OpenAI, Gemini, and DocView OmniRead. Review processes are bolstered by validation rules, lookups, confidence scoring, and a four-eyes verification system. With 72 templates available, it covers a diverse range of document types including invoices, purchase orders, bank statements, and various industry-specific needs such as HR, tax, logistics, insurance, healthcare, and loans. Additionally, the software can export data in searchable PDF formats as well as XML, CSV, JSON, Excel, PDF/A, or SQL formats, making it compatible with systems like SharePoint, SAP, Dynamics 365, Salesforce, Xero, QuickBooks, among others. Users can opt to run modules in the vendor’s cloud or host them in their own Azure, AWS, or Google Cloud environments, as well as utilize them as Windows services or on-premises installations, providing flexibility and scalability based on their operational requirements. This versatility makes DocView Capture a comprehensive solution for organizations looking to enhance their document processing capabilities.

Unsiloed AI is an enterprise document intelligence platform built to transform unstructured documents into structured, LLM-ready data. The platform processes PDFs, images, spreadsheets, scans, and multimodal files, then outputs clean JSON, Markdown, or structured fields for AI agents, LLM applications, vector databases, and data warehouses. Its core capabilities include parsing, extraction, and document splitting, allowing teams to use each function independently or chain them into a full production pipeline. Unsiloed’s parser converts complex documents into Markdown while preserving structure across text, tables, charts, figures, forms, handwriting, signatures, and visual hierarchy. Its extraction engine pulls schema-specific fields into JSON and uses domain awareness to understand documents such as invoices, contracts, financial reports, healthcare records, and regulatory filings. Its splitting tools can separate mixed files into individual documents or break long documents into retrievable chunks while preserving parent-child relationships and surrounding context. The platform is powered by proprietary dual-stream vision models that combine a data stream for tokens and entities with a layout stream for bounding boxes, alignment, indentation, and visual structure. Unsiloed is designed to solve the problem of fragile OCR and DIY pipelines that break when document layouts change. For enterprise AI teams, Unsiloed provides a more reliable document layer for turning high-value unstructured data into assets that can be searched, reasoned over, and used in production AI systems.