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ReductoAI Announces R-1 Document Parsing Model

Team posts emphasize gains in accuracy, speed, and pricing for complex visual documents.

Y CombinatorYC
AditAD
RaunakRA
3 Sources, 38d ago, first seen 38d ago

TLDR

ReductoAI team members posted about launching r-1. Adit described the model as more accurate than the company's strongest agentic OCR versions, quicker to run, and as much as 6x less expensive. The two-year effort focused on handling multi-page tables, varied layouts, and details such as strikethrough text. Raunak added that the tool surpasses LVM parsers for accuracy while costing less than standard OCR options including Azure Doc Intelligence. The announcement was shared by Y Combinator.

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3 Sources, first seen 38d ago

585 likes93 comments289 saves76 reposts

Combined views

129.9K

3 Sources, first seen 38d ago

585 likes93 comments289 saves76 reposts

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3 Sources

Adit@aditabrmToday we’re announcing r-1, our new document parsing model. It’s more accurate than our most powerful agentic OCR models, faster, and up to 6x cheaper. At @reductoai, we spent two years building specialized models for complex visual layouts, tables spanning multiple pages, and key formatting like strikethroughs. We then used everything we learned to build r-1, the first in a new generation of models designed to handle the hardest documents without multiplying cost. This early preview delivers a 20% lower error rate than our most accurate legacy agentic models and will keep improving with new checkpoints over the next few weeks. Accuracy is only the beginning. r-1 preview is available at 1¢ per page all-in, with additional volume discounts as you scale. In the near term we’re also going to release r-1 mini, and an auto mode that intelligently selects the right approach for each page. If you’re currently using another parser, we’re offering up to $5,000 in credits to evaluate and migrate. You can claim the migration offer and learn more about r-1 using the links in the comments. Happy parsing!38d
Y Combinator@ycombinatorRT @aditabrm: Today we’re announcing r-1, our new document parsing model. It’s more accurate than our most powerful agentic OCR models, fas…38d
Raunak@raunakdoesdevtry this model it's more accurate than LVM parsers and cheaper than basic OCR (e.g. Azure Doc Intelligence), even at our *list price* our ml team absolutely cooked with this one38d
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    3 Sources

    Adit@aditabrmToday we’re announcing r-1, our new document parsing model. It’s more accurate than our most powerful agentic OCR models, faster, and up to 6x cheaper. At @reductoai, we spent two years building specialized models for complex visual layouts, tables spanning multiple pages, and key formatting like strikethroughs. We then used everything we learned to build r-1, the first in a new generation of models designed to handle the hardest documents without multiplying cost. This early preview delivers a 20% lower error rate than our most accurate legacy agentic models and will keep improving with new checkpoints over the next few weeks. Accuracy is only the beginning. r-1 preview is available at 1¢ per page all-in, with additional volume discounts as you scale. In the near term we’re also going to release r-1 mini, and an auto mode that intelligently selects the right approach for each page. If you’re currently using another parser, we’re offering up to $5,000 in credits to evaluate and migrate. You can claim the migration offer and learn more about r-1 using the links in the comments. Happy parsing!38d
    Y Combinator@ycombinatorRT @aditabrm: Today we’re announcing r-1, our new document parsing model. It’s more accurate than our most powerful agentic OCR models, fas…38d
    Raunak@raunakdoesdevtry this model it's more accurate than LVM parsers and cheaper than basic OCR (e.g. Azure Doc Intelligence), even at our *list price* our ml team absolutely cooked with this one38d
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