*This model was contributed to Hugging Face Transformers on 2026-03-21.* # UVDoc ## Overview **UVDoc** The main purpose of text image correction is to carry out geometric transformation on the image to correct the document distortion, inclination, perspective deformation and other problems in the image. ## Usage ### Single input inference The example below demonstrates how to rectify a document image with UVDoc using the [`AutoImageProcessor`] and [`UVDocModel`]. ```python import requests from PIL import Image from transformers import AutoImageProcessor, AutoModel model_path = "PaddlePaddle/UVDoc_safetensors" model = AutoModel.from_pretrained( model_path, device_map="auto", ) image_processor = AutoImageProcessor.from_pretrained(model_path) image = Image.open(requests.get("https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/doc_test.jpg", stream=True).raw) inputs = image_processor(images=image, return_tensors="pt").to(model.device) outputs = model(**inputs) result = image_processor.post_process_document_rectification(outputs.last_hidden_state, inputs["original_images"]) print(result) ``` ### Batched inference Here is how to perform batched document rectification with UVDoc: ```py import requests from PIL import Image from transformers import AutoImageProcessor, AutoModel model_path = "PaddlePaddle/UVDoc_safetensors" model = AutoModel.from_pretrained( model_path device_map="auto", ) image_processor = AutoImageProcessor.from_pretrained(model_path) image = Image.open(requests.get("https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/doc_test.jpg", stream=True).raw) inputs = image_processor(images=[image, image], return_tensors="pt").to(model.device) outputs = model(**inputs) result = image_processor.post_process_document_rectification(outputs.last_hidden_state, inputs["original_images"]) print(result) ``` ## UVDocConfig [[autodoc]] UVDocConfig ## UVDocModel [[autodoc]] UVDocModel ## UVDocBackboneConfig [[autodoc]] UVDocBackboneConfig ## UVDocBackbone [[autodoc]] UVDocBackbone ## UVDocBridge [[autodoc]] UVDocBridge ## UVDocImageProcessor [[autodoc]] UVDocImageProcessor