Extract and query terms from documents
Find information using text queries
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Employs Mistral OCR for transcribing historical data
GOT - OCR (from : UCAS, Beijing)
Extract text from document images
Query deep learning documents to get answers
AI powered Document Processing app
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Find relevant passages in documents using semantic search
Traditional OCR 1.0 on PDF/image files returning text/PDF
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Multimodal retrieval using llamaindex/vdr-2b-multi-v1
Llama Index Term Extractor is a powerful AI-powered tool designed to extract and query terms from documents. It enables users to quickly identify and retrieve key terms, phrases, and concepts from large volumes of text, making it an essential tool for document analysis, research, and information retrieval. This tool is particularly useful for professionals in legal, academic, and business sectors who need to work with large datasets and extract meaningful insights efficiently.
• Advanced Term Extraction: Utilizes state-of-the-art AI technology to identify and extract relevant terms from documents.
• Customizable Settings: Allows users to define custom extraction criteria to suit specific needs.
• Document Compatibility: Supports a wide range of document formats, including PDF, Word, and text files.
• Batch Processing: Enables processing of multiple documents simultaneously for efficient workflows.
• Export Capabilities: Extracted terms can be exported for further analysis or integration with other tools.
• Simple User Interface: Designed for intuitive navigation, making it accessible to both novice and advanced users.
What formats does the Llama Index Term Extractor support?
The tool supports PDF, Word, and text files, ensuring compatibility with most common document types.
Can I customize the extraction process to focus on specific terms?
Yes, users can define custom criteria to tailor the extraction process to their specific needs.
How long does the extraction process typically take?
The duration depends on the document size and complexity. For most standard documents, extraction is almost instantaneous, while larger files may take a few minutes.