Compare Adobe PDF Services API vs. Unsiloed in 2026

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Description

Generate a PDF from Microsoft Office files, safeguard the information, and seamlessly convert it into various formats. You can programmatically manipulate documents by reordering, inserting, and rotating pages, along with compressing the file sizes. Utilize the same cloud-based APIs that power Adobe's user-focused applications to efficiently provide scalable and secure solutions. Extracting text, images, tables, and other content from both native and scanned PDFs can be done, resulting in a well-structured JSON file. The PDF Extract API utilizes advanced AI technology to precisely recognize text elements and comprehend the natural flow of reading different components, such as headings, lists, and paragraphs that may extend across multiple columns or pages. Additionally, you can capture font styles and metadata, identifying characteristics like bold and italic text along with their respective positions in the PDF. The resulting information is formatted in a structured JSON file, with tables available in CSV or XLSX formats and images stored as PNG files. This comprehensive approach ensures that users can efficiently manage and manipulate their PDF documents while preserving essential data integrity.

Description

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.