Search information in uploaded PDFs
Gemma-3 OCR App
Traditional OCR 1.0 on PDF/image files returning text/PDF
Identify and extract key entities from text
Extract text from document images
Extract text from images with OCR
Search documents for specific information using keywords
Upload and analyze documents for text extraction and Q&A
Multimodal retrieval using llamaindex/vdr-2b-multi-v1
Analyze documents to extract and structure text
Search for similar text in documents
Extract and query terms from documents
Extract text from images using OCR
PDF Search Engine is an AI-powered tool designed to help users search and extract information from uploaded PDF documents. It allows you to quickly locate specific text, phrases, or keywords within PDF files, making it an essential tool for extracting text from scanned documents and managing digital content efficiently.
• Text Extraction: Extract text from scanned PDFs with high accuracy.
• Advanced Search: Search for keywords or phrases across multiple PDFs.
• Scanned PDF Support: Works seamlessly with scanned or image-based PDFs.
• High Accuracy: Utilizes advanced AI algorithms for precise text recognition.
• Bulk Processing: Handle multiple PDF files at once for efficient searching.
• User-Friendly Interface: Easy-to-use interface for seamless navigation.
Can PDF Search Engine handle scanned PDFs?
Yes, PDF Search Engine supports scanned PDFs by using OCR (Optical Character Recognition) technology to extract text from images.
How do I search across multiple PDF files at once?
You can upload multiple PDF files and use the search feature to find keywords across all documents simultaneously.
Is my data secure when using PDF Search Engine?
Yes, PDF Search Engine ensures your data privacy and security. All uploaded files are processed temporarily and deleted after use.