Ollama OCR for web
A powerful OCR package that uses state-of-the-art visual language models to extract text from images.
Product Details
ollama-ocr is an ollama-based optical character recognition (OCR) model capable of extracting text from images. It utilizes advanced visual language models such as LLaVA, Llama 3.2 Vision and MiniCPM-V 2.6 to provide high-precision text recognition. This model is very useful for scenarios where text information needs to be obtained from images, such as document scanning, image content analysis, etc. It is open source, free and easy to integrate into various projects.
Main Features
How to Use
Target Users
The target audience includes developers, researchers and enterprise users who need to extract text from images. For developers, it can be integrated into various applications to realize image text recognition functions; for researchers, it is a powerful tool to study the performance of visual language models on OCR tasks; for enterprise users, it can be used to automate document processing and image content analysis to improve work efficiency.
Examples
Developers can integrate ollama-ocr into their own web applications to provide users with image text recognition functions, such as online document scanning services.
Researchers can use this model to study the OCR performance of visual language models in different image scenarios and promote the development of related technologies.
Enterprises can deploy ollama-ocr to automatically process a large number of image documents, such as invoices, contracts, etc., to improve data entry efficiency.
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