Unsiloed vs. DocSolved

Unsiloed AI is a document layer for enterprise AI that converts complex unstructured files into clean JSON, Markdown, and structured data. The platform is built for organizations whose most valuable information lives inside PDFs, scanned documents, images, spreadsheets, contracts, invoices, reports, filings, forms, and other hard-to-parse formats. Unsiloed helps AI teams avoid building brittle OCR, parser, and post-processing pipelines by providing a production-ready API for document parsing, field extraction, and document splitting. Its parsing capability converts PDFs, scans, and images into LLM-ready Markdown while preserving tables, figures, text hierarchy, page structure, signatures, handwriting, and visual context. Its extraction capability pulls specific fields into JSON using schemas, confidence thresholds, and domain-aware logic that can understand context such as line items, payment terms, clauses, totals, and references. Its splitting capability separates multi-document files into individual documents and breaks long files into retrievable chunks for RAG, agent workflows, and search systems. Unsiloed uses proprietary dual-stream vision models that process content and layout in parallel, then fuse them through cross-attention so the system can reason over what a document says and how it is structured. The platform’s architecture includes attention-guided heatmaps, typed document regions, layout-aware processing, and domain-specific decoding for industries such as finance, legal, healthcare, and enterprise operations. It is designed to handle edge cases that traditional OCR often misses, including nested tables, merged cells, multi-page tables, figures, handwritten notes, forms, and documents with mixed formats. Teams can connect data sources such as S3, SharePoint, Drive, Snowflake, or a document management system, then send structured outputs into LLMs, AI agents, vector databases, or analytics warehouses.

DocSolved effectively gathers structured data from a variety of formats, including PDFs, scanned documents, images, and invoices, presenting each extracted piece of information alongside its original source for straightforward validation. For scanned materials and images, the extracted fields are linked to their respective page locations, while any OCR values that are uncertain are clearly marked for additional scrutiny. The platform adeptly handles structured e-invoices, utilizing formats such as Factur-X, ZUGFeRD, KSeF FA(3), and UBL 2.1 by interpreting embedded XML, while artificial intelligence facilitates the extraction process for other document types. Tailored adjustments for individual suppliers enhance the accuracy of future data extraction endeavors. Teams in finance, accounting, operations, and development gain significant advantages from the system's capability to process a wide range of documents, which includes invoices, receipts, purchase orders, delivery notes, and CVs, utilizing pre-defined types, customizable fields, and templates. Furthermore, DocSolved provides features for review and approval, batch processing, collaborative workspaces, and export options available in JSON, CSV, and XLSX formats, all supported by a REST API, signed webhooks, and an MCP server designed for coding agents. Each subscription plan includes a full suite of features, with variations primarily based on monthly page limits, storage capacity, and document processing capabilities. Users can access the free tier, which allows for 100 one-time pages without a credit card, while paid subscriptions start at an affordable $9 per month, making it suitable for a diverse range of users. Consequently, DocSolved emerges as a robust and versatile solution for managing documents and extracting data efficiently. With its user-friendly interface and reliable technology, it enhances productivity across various sectors.