About 80 percent of organizational data is unstructured comprising text (from emails, copy, chat responses, social media posts, product reviews), pictures, videos and more. Automating the transformation of unstructured data to structured data would reduce the time frame to generate insights which help in decision-making.

Enter teX.ai, an AI-powered automated text analytics tool for text extraction, classification and summarization of structured and unstructured data. Using teX.ai, any form of data from any type of document can be extracted, classified and analyzed without manual intervention. The automated workflow helps process high scale of data within a short time frame, while enabling businesses to streamline their processes.


Multi-format documents

teX.ai scans data from all types of documents, websites, IoT devices, images and videos. It can extract both tabular and peripheral (header) data.
teX.ai can handle complex document types such as bank statements, financial statements, purchase orders, insurance policies, healthcare claims, and more.


Pre-processing is a technique that enhances the quality of images and scanned documents using different image processing algorithms.


teX.ai comes with the options of being deployed on cloud, on premise and also as a hybrid model. The model and solution can be deployed in less than three weeks.
Businesses can deploy teX.ai on any cloud to automate and fast track their processes.


Security remains a major concern for businesses when dealing with large volumes of text data.
teX.ai is ISO compliant. It is a highly secure solution that adheres to the best industry practises such as being GDPR and OWASP compliant. Additionally, all data is encrypted and maintained on the client’s server.

Analytics and dashboard

teX.ai helps generate actionable information and provide analytics data along with the data extraction process.
View and manage processed documents of customers using our interactive dashboard, which helps in monitoring processes and improving process efficiency by mitigating nuances. The dashboards as a whole and parameters within the dashboards are highly customizable as per your requirement.


Identifying the language is the initial step in text analytics.
teX.ai supports a multitude of languages including English, all Latin languages, Japanese, Mandarin, Thai, Arabic and more.

Document classification

teX.ai can automatically identify, classify and segregate a particular document from a set of documents scanned together, helping remove irrelevant pages or documents.


teX.ai provides businesses with the tailor-made option to fulfil a myriad business needs which can be easily customized to meet a specific requirement. Aspects such as UI, filters, parameters and output formats can be customized.

Mail Room Automation

Automatic extraction, validation and redirection to respective departments of business emails.

Email extraction | Email classification and sorting | Archiving | Email redirection




Industry Veterans with Robust Processes & Practices


Customer Success Orientation


Over 10 years of Data Engineering and Analytics Expertise


Best-in-Class Support Model



Automation of complete text analytics lifecycle

We automate the entire process starting with the collection of unstructured data to extraction of data to converting unstructured data into structured data to analyzing data and generating insights.

Flexible Pricing Models

Our pricing models are flexible depending on the client`s business requirements.

Customizable Solution

Solutions are customized, unique and tailor-made for your business requirements. Each use-case needs a different solution.

Scalability & Flexibility

teX.ai handles data loads from start-ups to enterprises across multiple formats from different sources seamlessly.

Deployment Models (SaaS, On-Premise, Cloud)

The deployment models depend on the end user’s data confidentiality and security requirements. We cater to SaaS, on-premise and Cloud or even a hybrid model.


Hybrid use of Linguistic & Machine Learning models

Efficient text identification using sophisticated Linguistic and ML models.

Minimal Infrastructure requirements

Infrastructure setup costs are minimal thereby reducing the Total Cost of Ownership (TCO).

Faster processing

teX.ai’s revolutionary AI-based automation technology results in 3x shorter turnaround times.