Query deep learning documents to get answers
Identify and extract key entities from text
Find information using text queries
Extract key entities from text queries
Extract and query terms from documents
GOT - OCR (from : UCAS, Beijing)
Extract text from images
Extract PDFs and chat to get insights
Search documents for specific information using keywords
Upload and analyze documents for text extraction and Q&A
Find similar sentences in text using search query
Compare different Embeddings
Extract named entities from medical text
Research Paper Q A is an advanced AI tool designed to extract text from scanned documents and provide answers to queries by leveraging deep learning technology. It enables users to interact with research papers and other scholarly documents more effectively, offering accurate and relevant responses to their questions.
• Extract text from scanned documents: Convert scanned documents into readable text for analysis.
• Deep learning-based query processing: Utilize advanced AI models to answer complex questions.
• Support for multiple document formats: Compatible with PDF, scanned images, and other common file types.
• Real-time responses: Get instant answers to your queries about the document content.
What formats does Research Paper Q A support?
Research Paper Q A supports PDF, TIFF, and other common image formats for scanned documents.
How accurate are the answers?
The accuracy depends on the quality of the scanned document and the complexity of the query. Clear scans and specific questions yield better results.
Can I use it for non-English documents?
Currently, Research Paper Q A supports English documents only. Support for other languages may be added in the future.