Reducto AI Introduces r-1 Document Parsing Model

September 02, 2026
Reducto AI introduced r-1, a document parsing model for complex PDFs, scans, spreadsheets, and other files. The model is available in preview through the Reducto Parse API.
Reducto AI Introduces r-1 Document Parsing Model

Reducto AI introduced r-1, a document parsing model for complex PDFs, scans, spreadsheets, and other files, announced in a press release.

The company says r-1 reduces parsing errors by up to 20% and costs 1 cent per page. Reducto AI says the model handles layout detection, reading order, tables, formatting, grounding, and granular citations in one parse.

The model is designed for dense tables, unusual layouts, low quality scans, handwriting, watermarked content, and files without predictable templates. Reducto AI says r-1 can replace document workflows that use separate providers or processing steps for different file types.

r-1 is available in preview through a configuration flag in the Reducto Parse API. Reducto AI also plans to add r-1 mini for workloads that need lower cost or faster processing, along with automatic routing that selects a model for each page.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Daily AI Brief.

Also, consider following us on social media:

Subscribe to Daily AI Brief

Daily report covering major AI developments and industry news, with both top stories and complete market updates

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more