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Xiaomi-OCR-0: A 0.8B AI Model for Document Parsing and OCR
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Xiaomi-OCR-0: A 0.8B AI Model for Document Parsing and OCR

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Overview

Xiaomi-OCR-0 is a unified 0.8B-parameter OCR-focused vision-language model for document parsing and OCR-centric understanding. It supports text, tables, formulas, OCR-oriented visual question answering, and key information extraction. The model is described as handling scanned, warped, photographed, skewed, and recaptured documents. Maintainer: xiaomi-research.

Best use cases

Use it for parsing document images into text and structure, recognizing formulas and tables, answering questions about text-rich images or documents, and extracting structured fields. The supplied results also cover historical handwriting and calligraphy, including Clerical, Cursive, Running, and Regular scripts.

Limitations

The supplied evidence does not specify supported image dimensions, languages, maximum input size, hardware requirements, or a reproducible inference example for the original checkpoint.…

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