SujaySN/qwen2-vl-processor

Qwen2-VL-2B Document Processor

This Space hosts the Qwen2-VL-2B vision-language model for document processing and analysis. Upload images of documents, charts, or any visual content with text to extract information.

Features

• —Text Extraction: Extract text from images and documents
• —Table Detection: Identify and extract tables from documents
• —Visual Question Answering: Ask questions about the content of images
• —Document Understanding: Comprehend the structure and content of documents

How to Use

1. 1.Upload an image containing text, tables, charts, or other visual information
2. 2.Enter an instruction or use one of the examples
3. 3.Click 'Process Image' to analyze the image
4. 4.For large images, processing may take some time

Example Instructions

• —"Extract all text from this image."
• —"Extract all tables from this document and format them as JSON."
• —"Analyze this document and identify key information."
• —"What is this document about? Summarize it briefly."
• —"Identify any charts or graphs in this image and describe them."

About Qwen2-VL-2B

Qwen2-VL-2B is a powerful vision-language model developed by Alibaba Cloud that can analyze images and extract text, tables, and other structured information. It's particularly good at document understanding tasks.

Technical Details

• —Model: Qwen2-VL-2B-Instruct
• —Parameters: 2 billion
• —Capabilities: Text extraction, table detection, visual question answering
• —Memory Requirements: ~2GB RAM/VRAM

Limitations

• —Processing large or complex images may take time
• —Very small text might not be recognized accurately
• —Complex tables might not be perfectly structured in the output

Credits

This Space uses the Qwen2-VL-2B-Instruct model from Alibaba Cloud.