Businesses today face challenges deriving insights from the vast amounts of text across various sources. teX.ai helps produce structured data, metadata & insights by extracting data from text, summarizing information and classifying content. 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.
Handles any type of data from disparate sources.

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.

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.

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.
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.
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.
teX.ai Users
For Transformational Leaders
(CEO, CFO, CTO, Directors , Partners, VPs)
Financial Trending | Credit Worthiness assessment | Business Intelligence | Process Automation Operational Efficiency | Customer Experience
For Data Science Teams
(Data Scientists , Data Engineers, Statistical Analytics, Developers)
Text Language Identification | Data Analysis | Conversational User Interface / Automatic responses | Data Structuring & Processing | Text Extraction | Text Classification
For Influencers & Managers
(Marketers , Sales Heads, Human Resources)
Audience Analysis | Sentiment Analysis | Campaign Management | Recruitment & Selection Revenue Analysis | Product Categorization
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.”