Lightweight Q&A Model
Gemma-3 OCR App
Extract named entities from text
Search documents using semantic queries
Find relevant text chunks from documents based on queries
Query deep learning documents to get answers
Analyze PDFs and extract detailed text content
Extract and query terms from documents
Extract key entities from text queries
Extract text from images
中文Late Chunking Gradio服务
Parse documents to extract structured information
Extract text from images using OCR
Numini is a lightweight Q&A model designed to extract text from scanned documents and help users find answers to their questions from the given text. It is a highly efficient tool that bridges the gap between text extraction and question-answering, making it easier to work with scanned or image-based documents.
• Text Extraction: Extract readable text from scanned documents or images.
• Question & Answer: Directly ask questions about the extracted text and receive relevant responses.
• Support for Scanned Documents: Works seamlessly with scanned PDFs, images, and other document formats.
• OCR Integration: Optical Character Recognition (OCR) capabilities to recognize and convert text from images.
• Customizable: Allows users to tailor the output based on specific needs or document types.
What file formats does Numini support?
Numini supports major formats such as PDF, JPG, PNG, and BMP for document extraction.
How is Numini different from other Q&A tools?
Numini's unique integration of OCR technology allows it to work directly with scanned or image-based documents, a feature not commonly found in standard Q&A tools.
Can I customize the output from Numini?
Yes, Numini offers customization options to refine the responses based on your specific requirements or document type.