teX-ai | Text Analytics Software Pricing & Demo

teX.ai’s text analytics solution using python helps companies to convert raw data to structured data, provide insights by extracting data, summarizing and classifying the data for better decision making. Following solutions are provided by teX.ai:

• Text Extraction: Automating text extraction from PDFs, images, and websites to provide structured data. No manual template designing needed. Deep Learning methods detect tabular areas. Sequential text analytics in NLP detect the entities across documents irrespective of their position. The output can be customized to XLSX, CSV, JSON, XML file formats.
• Text Summarization: This solution provides a summary of a variety of documents such as books, articles, journals, reviews, tweets, comments, legislation, etc. The need for manual extraction of keywords or topics is eliminated. Create a knowledge graph showing the important subject, predicate and their relation. Easy API integration for downstream summarization.
• Text Classification: Classify the text in all the documents based on defined categories. Off-the-rack pre-processing and training pipeline for any kind of labeled text data. About 10,000 categories are supported for classification to ease the user’s job. Hierarchical Product categorization is also possible for selected domains such as e-commerce.