Extract medical entities and classify text intent
Find relevant passages in documents using semantic search
Find similar text segments based on your query
Query PDF documents using natural language
Process documents and answer queries
Find information using text queries
Find similar sentences in your text using search queries
Parse documents to extract structured information
Traditional OCR 1.0 on PDF/image files returning text/PDF
Analyze documents to extract and structure text
Query deep learning documents to get answers
Extract text from images using OCR
Search... using text for relevant documents
Emitrr is an AI-powered tool designed to extract text from scanned documents with a focus on medical entities and text classification. It leverages advanced AI capabilities to accurately identify and extract relevant information, making it a valuable solution for healthcare professionals and organizations.
• Medical Entity Recognition: Extract specific medical terms and entities from scanned documents.
• Text Intent Classification: Automatically classify the intent of the extracted text.
• Support for Multiple Formats: Process documents in various formats, including PDF, JPG, and PNG.
• Smart Editing Tools: Enable manual corrections and adjustments for precision.
• Privacy-Focused: Ensure secure handling of sensitive medical information.
What formats does Emitrr support?
Emitrr supports PDF, JPG, and PNG formats for document processing.
Is Emitrr suitable for non-medical documents?
While Emitrr is optimized for medical documents, it can extract text from non-medical documents, though its classification features are tailored for medical content.
How do I ensure the accuracy of extracted text?
Emitrr provides smart editing tools for manual corrections, allowing you to refine and improve extraction accuracy.