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Reducto Releases r-1: A Single Pass Document Parsing Model That Cuts Errors 20% at 1 Cent Per Page

2026-09-08 11:07 Models 🔥 42.2 heat score
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SummaryAI generated

Reducto has launched a single-page document parsing model called r-1, aimed at replacing the existing multi-stage proxy OCR process with a rewritten architecture. This model integrates text, tables, layouts, and reading order into a single full-page processing step, eliminating delays caused by additional model calls and reducing the error rate by 20%. The cost per page is reduced to 1 cent. Currently, r-1 is available in a preview version on Reducto-hosted V3 API; it does not support local deployment. However, the platform supports multi-tenant clouds, customer VPCs, and offline installation, and has passed SOC 2 Type II certification. Internal tests show that r-1 outperforms mainstream products like Amazon Textract and Azure Document Intelligence in performance. Its price advantage comes from the removal of functional multipliers and credit costs. The model natively supports processing of digital text, scanned documents, handwritten content, merged cells, and complex formats, and returns relative page boundaries. Since migration requires using V3…

Related eventsRELATED EVENTS
Key entitiesKEY ENTITIES
Amazon TextractAzure Document IntelligenceReductor-1

Event frameEVENT FRAME

Launch

Reducto r-1 单页解析模型发布,错误率降低20%

Coverage · reports per dayLANGUAGE SPLIT

Entity relations
Amazon Textract × Azure…1Amazon Textract × Reduc…1Amazon Textract × r-11Azure Document Intellig…1Azure Document Intellig…1Reducto × r-11

SignalsSIGNALS

Keyword heat
  • Reducto1
  • r-11
  • Amazon Textract1
  • Azure Document Intelligence1

All reports (1)SOURCES

M MarkTechPost en 2026-09-08 11:07

Reducto Releases r-1: A Single Pass Document Parsing Model That Cuts Errors 20% at 1 Cent Per Page

Reducto 发布 r-1,这是一款单页解析模型,将错误率降低 20% 且每页成本降至 1 美分。该模型基于重写架构构建,取代了公司原有的多阶段代理 OCR,将文本、表格、布局及阅读顺序等整合为单次全页处理,消除了额外模型调用带来的延迟。r-1 在 Reducto 托管的 V3 API 上以预览形式可用,不支持本地部署,但平台支持多租户云、客户 VPC 及离线安装,并通过 SOC 2 Type II 认证。内部测试显示 r-1 优于 Amazon Textract 和 Azure Document Intelligence 等主流产品,其价格优势源于去除了功能乘数与信用成本。r-1 原生处理数字文本、扫描、手写、合并单元格及复杂格式,并返回页面相对边界框;迁移需使用 V3 API,部分旧设置可能不兼容,而自…