Process text to extract meaning
Extract handwritten text from images
OCR that extract text from image of hindi and english
Extract text from images using OCR
A demo app which retrives information from multiple PDF docu
Extract text from documents or images
Parse and extract information from documents
Employs Mistral OCR for transcribing historical data
Identify and extract key entities from text
Next-generation reasoning model that runs locally in-browser
Perform OCR, translate, and answer questions from documents
Extract named entities from medical text
Extract and query terms from documents
Natural Language Processing (NLP) is a subfield of artificial intelligence (AI) that focuses on the interaction between computers and humans in natural language. It enables computers to process, understand, and generate human language data, allowing them to perform tasks like text extraction, sentiment analysis, and language translation. NLP combines computational linguistics and machine learning to analyze and extract meaningful information from text, whether it's structured or unstructured data.
• Text Extraction: Extract text from scanned documents, images, and other sources.
• Sentiment Analysis: Determine the emotional tone or sentiment behind text, such as positive, negative, or neutral.
• Language Translation: Translate text from one language to another in real-time.
• Named Entity Recognition: Identify and classify named entities (e.g., names, locations, organizations) in text.
• Summarization: Generate concise summaries of long documents or articles.
• Question Answering: Answer questions based on context or provided text.
What does NLP stand for?
NLP stands for Natural Language Processing, a field of AI focused on enabling computers to understand and process human language.
Can NLP work with scanned documents or images?
Yes, NLP can extract text from scanned documents or images by combining OCR (Optical Character Recognition) with NLP algorithms.
What are common applications of NLP?
Common applications include sentiment analysis, language translation, text summarization, and question-answering systems.