Extract PDFs and chat to get insights
Analyze scanned documents to detect and label content
Employs Mistral OCR for transcribing historical data
Search and summarize documents with natural language queries
Extract text from PDF and answer questions
Extract text from multilingual invoices
Extract key entities from text queries
Using Paddleocr to extract information from billing receipt
Search information in uploaded PDFs
Find similar sentences in text using search query
Answer questions based on provided text
Next-generation reasoning model that runs locally in-browser
Find relevant passages in documents using semantic search
Multimodal PDF RAG is a tool designed to extract text from scanned documents and enable chat-based interactions to uncover insights. It combines advanced PDF processing with retrieval-augmented generation (RAG) capabilities, making it ideal for working with scanned or image-based PDFs. This tool is particularly useful for extracting meaningful information from non-searchable or uneditable PDF files.
• Text Extraction: Extracts text from scanned PDFs, including those with images or complex layouts.
• Support for Scanned PDFs: Handles PDFs that are scanned or contain non-selectable text.
• Image-to-Text Conversion: Converts scanned text within images into readable and searchable text.
• Integration with Chat Models: Seamlessly integrates with large language models to enable question-answering and summarization.
• Real-Time Processing: Processes PDFs quickly, even for large documents.
What file formats does Multimodal PDF RAG support?
Multimodal PDF RAG primarily supports PDF files, including scanned or image-based PDFs. It may also support other formats depending on the specific implementation.
Can Multimodal PDF RAG handle large PDF files?
Yes, Multimodal PDF RAG is designed to process large PDF documents efficiently, though processing time may vary based on the file size and complexity.
Is the extracted text editable or searchable?
Yes, the extracted text is editable and searchable, making it easy to work with the content after extraction.