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Natural Language Processing for Indian Languages

Hindi and Tamil NLP solutions built for real Indian apps. Processing language the way it’s actually spoken.

Modern workspace with multiple language processing on screens, developer at desk with Indian scripts visible

What We Do

Core NLP Capabilities

Tools and techniques specifically designed for the linguistic challenges of Indian languages

Tokenization visualization showing Hindi text breaking into linguistic units

Hindi Tokenization

Handling conjuncts and compound words in Devanagari script. Standard methods fail here — we don’t.

Tamil text analysis showing agglutinative morphology breakdown

Tamil Sentiment Analysis

Tamil’s agglutinative nature needs special handling. We’ve built models that actually understand the language structure.

Code-switching detection showing mixed Hindi-English text from social media

Code-Switching Detection

Indians mix languages constantly. We recognize and classify code-switched text with high accuracy across platforms.

NLP research facility with servers and processing equipment for language models

Founded

2023

Started with a mission to make Indian language NLP accessible and practical.

Focus

Hindi & Tamil

Deep expertise in the two most-spoken Indian languages for app development and content processing.

Location

Hyderabad

Based in India’s tech hub, working directly with the languages and communities we serve.

Resources

10+ Guides

Practical documentation covering tokenization, sentiment analysis, code-switching, and low-resource scenarios.

Learn From Guides

Featured NLP Resources

Practical guides on the challenges that matter for Indian language apps

Laptop screen showing text processing with Hindi and English characters visible, code editor in background with syntax highlighting

Tokenization for Hindi Text: Beyond Simple Splitting

Hindi tokenization needs special handling for conjuncts and compound words. Learn why standard methods fail and what actually works for Devanagari script.

Read Guide
Diagram printed on paper showing language structure with Tamil characters, notes written beside it, pen and highlighter on desk

Sentiment Analysis in Tamil: Handling Agglutination

Tamil’s agglutinative nature makes sentiment detection tricky. Explore morphological analysis techniques and why pre-trained English models don’t transfer well.

Read Guide
Multiple language scripts visible on notebook page with English, Hindi, and Tamil writing, dictionary reference nearby

Code-Switching Detection Between Hindi and English

Indian users mix Hindi and English constantly in apps and social media. Learn to build models that recognize and classify code-switched text accurately.

Read Guide

How It Works

Our Approach to Indian Language NLP

1

Understand the Language

Deep dive into linguistic properties of Hindi and Tamil. Conjuncts, agglutination, morphology — we map it all.

2

Design the Solution

Build custom preprocessing pipelines that handle real-world app data. No one-size-fits-all approaches here.

3

Test Thoroughly

Validate on actual user data from apps and social platforms. Real performance matters more than benchmarks.

4

Document Everything

Share what we’ve learned through guides and resources. We’re building knowledge for the entire community.

Need NLP Solutions for Your Indian Language App?

We’re here to help. Reach out with your questions about Hindi, Tamil, or any Indian language processing challenge.

Contact Us

Ready to Build Better Indian Language Apps?

Whether you’re tackling Hindi tokenization challenges, Tamil sentiment analysis, or code-switching detection, we’ve got the expertise and resources to help.

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