Compare Unsiloed vs. easybits Extractor

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.

The easybits Extractor serves as a trusted community node for n8n, enabling the extraction of organized data from a variety of unstructured documents. Simply direct it towards formats such as PDFs, images, scans, invoices, receipts, or contracts, specify the required fields in straightforward terms at extractor.easybits.tech, and receive clean, easily branchable JSON in return. It utilizes two distinct engines to address all scenarios: the General engine (Gemini) which offers a broad comprehension, and the Specialized OCR-optimized engine (Mistral) designed specifically for handling dense scans effectively. The complimentary plan allows for the extraction of up to 10 fields per workflow and permits 50 API requests each month, providing ample resources for developing and deploying a functional workflow. This makes it an ideal solution for users looking to streamline data extraction processes without incurring costs.