An Ai-based Text Analytics Software for
Text Extraction, Summarization & Classification.
How teX.ai can help your business today!
Text Extraction, Classification and Summarization at your fingertips, NOW!
Gain insights from your text data you didn’t know existed – Schedule a demo with the creators of teX.ai!
Text Extraction, Classification and Summarization at your fingertips, NOW!
Businesses today face challenges deriving insights from their text data. These businesses range across industries from e-commerce to Legal to BFSI to Manufacturing. As one of the Leading Text Analytics Companies – Our experts have extensive experience in leveraging NLP, Deep Learning & Artificial Intelligence expertise to solve business critical problems across functions.
Get a Free Demo
Schedule a demo with our teX.ai experts and unlock the potential of your text!
Businesses today face challenges deriving insights from their text data. These businesses range across industries from e-commerce to Legal to BFSI to Manufacturing. Our teX.ai experts have extensive experience in leveraging NLP, Deep Learning & Artificial Intelligence expertise to solve business critical problems across functions.
Market Endorsement
Process Modules that our Text Analytics Software offers
Text Extraction
Struggling to extract information? teX.ai extracts information from tables, pdfs, docs, websites and images.
Our text analytics software can auto auto recognise relevant data from documents and images using advanced OCR and Machine Learning. Extract clean tables containing structured text and numbers. Export them to CSV, JSON, write it to your database & many more formats.
How it works?
A table extractor in cloud or on-prem unlike any other convertor, which works on structured and unstructured tables. Load your document in any of the formats – be it a pdf, doc or image. Choose from among the many ML / DL / Scraping extraction methods. Export to CSV, JSON and many more formats.
Text Summarization
Are you flooded with loads of reviews, tons of documents or a multitude of articles? Looking to declutter?
Our text analytics tool creates concise summaries from lengthy texts. With our custom NLP application, it organizes your documents by similarity and identifies genres in the document archives and much more.
How it works?
Our NLP stack app digests your text collection and builds the crux of the collection through topics, clusters and keywords. Load your text collection from the databases or folders, train them using our NLP models for patterns and unearth the insights as per the modules – Topic Models, Doc Clusters, Keyphrase Highlights, Name Entity Recognition (NER) Graphs.
Text Summarization
Are you flooded with loads of reviews, tons of documents or a multitude of articles? Looking to declutter?
Our text analytics tool creates concise summaries from lengthy texts. With our custom NLP application, it organizes your documents by similarity and identifies genres in the document archives and much more.
How it works?
Our NLP stack app digests your text collection and builds the crux of the collection through topics, clusters and keywords. Load your text collection from the databases or folders, train them using our NLP models for patterns and unearth the insights as per the modules – Topic models, Doc Clusters, Keyphrase highlights, Name Entity Recognition (NER) graphs.
Request a Demo
Schedule a demo with our experts and unlock the potential of your text!
Text Classification
Have 1000s of 100 word descriptions or comments or reviews or tickets, and finding difficulty in assigning category labels to them?
Get recommended the closest category for your descriptions by our multi-ML classifier engine.
How it works?
A multialgo-ML classification engine customised for parsing short text stories and detecting the category. Load your labelled training text data, our engine learns using the ensemble ML models and chooses the best model to fit the best-suited label. As a leading text analytics company, our team of data scientists help you in configuring the initial setup and retune the models.
A Few Examples of our Success
“A marketing research client of ours was facing problems assessing the veracity of the metrics, indices and charts in their reports. We developed an NLP-based text scraping and validation solution which would validate the similarity between data sources like World Bank website on one hand and a PDF report on country-wise per capita income on the other. This reduced their man-hours burden to perform the manual QA drastically saving them big bucks.”
“A Fintech (employee loans) client of ours was about to touch a million active users. During the onboarding process, they used to ask the place of work from their users. Being a free-text field, it was prone to errors – some would misspell Amazon as ‘Amzon’ and others ‘Amazin’. They were missing out on critical insights about user’s place of work because of this issue. We brought Levenshtein Distance based text matching to their rescue. All such misspellings were traced back to ‘Amazon’. Now they could customize their marketing campaigns for organizations for better RoIs.”
“A client who was an ecommerce aggregator was having a hard time optimizing the search on their website. They had an overwhelming 100mn+ product listings across retailers with different catalogue category for the same product across different retailers. We used Naïve Bayes based text classification to categorize 100mn+ products to 5400 Google shopping categories. This improved their search results leading to 5x better conversions.”
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Brochure
For a quick glance of the advantages teX.ai can offer you, download our brochure now!
