文心 Unlimited OCR 2 processes 3,623-page Harry Potter in 90 minutes
The key detail is architectural: by capping what each step references, the model removes the quadratic memory blow-up that plagues whole-document OCR, dropping peak VRAM from 47 GB to 1.77 GB. Practitioners processing long PDFs, scanned books or archives should compare its 77.06 benchmark score against their current pipeline. It is open-source, so teams can test it against alternatives like general multimodal models before committing to a page-splitting workflow.
