Search... using text for relevant documents
Multimodal retrieval using llamaindex/vdr-2b-multi-v1
Process text to extract entities and details
Extract text from images using OCR
Search documents using semantic queries
Analyze scanned documents to detect and label content
Search information in uploaded PDFs
Identify and extract key entities from text
Search for similar text in documents
Extract handwritten text from images
Find relevant text chunks from documents based on a query
A demo app which retrives information from multiple PDF docu
Find similar sentences in your text using search queries
Nake Bge Base Zh V1.5 is an advanced AI tool designed to extract text from scanned documents. It leverages cutting-edge technology to search and identify relevant text within documents, making it a powerful solution for users needing to work with scanned or image-based content.
• Text Extraction: Accurately extracts text from scanned documents and images.
• Multi-Language Support: Capable of processing text in multiple languages, including Chinese.
• High Accuracy: Optimized for precise text recognition even in challenging document formats.
• Integration Capabilities: Compatible with various workflows and systems for seamless integration.
• User-Friendly Interface: Designed for ease of use, allowing quick and efficient processing of documents.
What file formats are supported?
Nake Bge Base Zh V1.5 supports common image formats such as JPG, PNG, and PDF.
How accurate is the text extraction?
The tool is designed for high accuracy, but results may vary depending on the quality of the input document.
Is Nake Bge Base Zh V1.5 available for mobile devices?
Currently, it is optimized for desktop use. Check for updates regarding mobile support.