Query deep learning documents to get answers
Extract text from documents or images
Process and extract text from receipts
Find information using text queries
Search documents using semantic queries
Answer questions based on provided text
Search documents and retrieve relevant chunks
Extract text from images using OCR
Search... using text for relevant documents
Analyze scanned documents to detect and label content
Process and extract text from images
Extract text from images
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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.