Sentiment Analysis • Named Entity Recognition • Text Classification • Summarization
Upload a PDF or enter text to get started with AI-powered NLP analysis
This application uses advanced Natural Language Processing (NLP) models to analyze text and PDF documents. The system provides sentiment analysis, named entity recognition, text classification, and summarization using lightweight, fast-running models optimized for local inference.
Upload a PDF file or enter text directly through our intuitive interface. The system accepts PDF files and plain text input.
The uploaded text is automatically processed and prepared for analysis. PDF files are extracted and converted to text format.
Our trained NLP models analyze the text through multiple pipelines, extracting sentiment, entities, categories, and generating summaries.
Get instant results with detailed insights including sentiment scores, named entities, text classification, and concise summaries.
Analyze text sentiment with confidence scores using DistilBERT
Extract named entities like names, locations, organizations using spaCy
Classify text into 30+ categories using DistilBERT zero-shot classification (fast and accurate)
Generate concise summaries using DistilBART model
Get results in seconds with lightweight, optimized models
Upload and process PDF files directly with automatic text extraction
This application is provided "as is" without any warranties or guarantees. The NLP models used are pre-trained and may not always produce 100% accurate results. Results are for informational purposes only and should not be used as the sole basis for important decisions.
The author is not responsible for any consequences arising from the use of this application.