r-1 mini is Reducto's new document parsing model that delivers premium-quality parsing of complex PDFs, scans, and documents at $1 per 1,000 pages, outperforming alternatives costing up to 25 times more. It leads cost-effective parsers by over 7 points in accuracy while remaining far cheaper than premium options, enabling high-volume unstructured data processing without premium pricing.
Reducto’s r-1 mini is a document-parsing model for turning complex documents into structured information for AI applications and workflows. Reducto describes it as a smaller model built on the architecture behind r-1, intended to make high-quality parsing more affordable for larger workloads. The company’s announcement discusses use cases such as processing document archives, adding document context to applications, and supporting web crawling, research agents, and enterprise knowledge search. Reducto’s documentation describes the broader Parse capability as producing text, tables, and figures while preserving layout and reading order.
