Find relevant articles based on text input
Analyze PDFs and extract detailed text content
Find similar text segments based on your query
Traditional OCR 1.0 on PDF/image files returning text/PDF
Find relevant passages in documents using semantic search
Identify and extract key entities from text
Visual RAG Tool
Query deep learning documents to get answers
Extract text from document images
Multimodal retrieval using llamaindex/vdr-2b-multi-v1
Search documents and retrieve relevant chunks
Search... using text for relevant documents
Extract named entities from text
ArticleAPI is a powerful tool designed to help users extract text from scanned documents and find relevant articles based on text input. It leverages advanced AI technology to analyze and process scanned documents, making it easier to access and utilize the information they contain.
• Text Extraction: Accurately extracts text from scanned documents, including PDFs and images.
• Article Discovery: Identifies and retrieves relevant articles based on the input text.
• Multi-Language Support: Processes documents written in multiple languages.
• Integration-Friendly: Easily integrates with existing applications and workflows.
• High Accuracy: Utilizes cutting-edge OCR (Optical Character Recognition) technology for precise text extraction.
1. What types of documents does ArticleAPI support?
ArticleAPI supports a wide range of document formats, including PDFs, images (JPEG, PNG), and scanned documents.
2. How long does it take to process a document?
Processing time varies depending on the document size and complexity. Typically, it takes a few seconds for smaller documents.
3. Can I use ArticleAPI for non-English documents?
Yes, ArticleAPI offers multi-language support, allowing you to process documents in multiple languages.