ViTLP
Document intelligent visual guidance to generate text layout pre-trained model
Product Details
ViTLP is a visually guided generative text layout pre-trained model designed to improve the efficiency and accuracy of intelligent document processing. This model combines OCR text positioning and recognition capabilities to enable fast and accurate text detection and recognition on document images. The pre-trained version of the ViTLP model, ViTLP-medium (380M parameters), provides a balanced solution under the constraints of computing resources and pre-training data set size, which not only ensures the performance of the model, but also optimizes the inference speed and memory usage. ViTLP's inference speed is typically 5 to 10 seconds on an Nvidia 4090 for processing a page of document images, which is competitive with most OCR engines.
Main Features
How to Use
Target Users
The target audience is enterprises and research institutions that require document image processing, especially those that require automated document processing and archive digitization. ViTLP's fast inference speed and high accuracy make it ideal for these scenarios.
Examples
Case 1: Use ViTLP to digitize historical documents and automatically extract text information in the documents.
Case 2: In the legal field, ViTLP is used to automatically process and extract information from a large number of case documents.
Case 3: In the financial industry, ViTLP is used to intelligently analyze contract documents and extract key terms.
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