# High-Precision OCR

Qwen2.5-VL-32B-Instruct is the latest vision-language model in the Qwen family, featuring powerful visual understanding and intelligent agent capabilities, supporting multimodal task processing.

Qwen2.5-VL is a multimodal large language model launched by the QwenLM team, featuring powerful visual understanding and intelligent agent capabilities, supporting various input formats including images, videos, and text.

A specialized image-to-text model for the financial domain, supporting English text recognition, primarily used for processing image content in financial documents.

MoAI is a large-scale language and vision hybrid model capable of processing both image and text inputs to generate text outputs.

This is a vision-language model based on the Donut architecture, specifically fine-tuned for the CORD-V2 dataset for document image-to-text tasks.

MGP-STR is a pure vision-based scene text recognition model that achieves efficient OCR through multi-granularity prediction.