Natural Language Processing
OCR, text analytics, sentiment detection, chatbots, and domain-specific language models. We extract insights from text and speech data efficiently.
Overview
Natural Language Processing (NLP) enables computers to understand, interpret, and generate human language. We build NLP solutions that extract insights from text, automate document processing, and enable natural conversations.
Our NLP capabilities include OCR for digitizing documents, text analytics for extracting entities and sentiment, chatbots for customer support, and custom language models for domain-specific tasks.
From processing thousands of invoices to building intelligent customer support systems, we leverage the latest NLP technologies to solve real business problems.
Key Benefits
Automate document processing
Build intelligent chatbots
Analyze customer sentiment
Use Cases
Customer support chatbots
Invoice or document OCR
Text analytics dashboards
Technologies We Use
Frequently Asked Questions
What can NLP do for my business?
NLP can automate document processing, extract information from emails/invoices, analyze customer feedback sentiment, power chatbots, categorize support tickets, translate content, and extract insights from unstructured text data.
How accurate is OCR?
Modern OCR is highly accurate (95-99%) for printed text in good quality. Accuracy decreases with handwriting, poor image quality, or complex layouts. We use preprocessing, multiple OCR engines, and post-processing validation to maximize accuracy.
Can chatbots replace human support?
Chatbots excel at handling common questions, routing requests, and providing 24/7 availability. They work best alongside human support, handling routine queries while escalating complex issues. We design chatbots that know when to hand off to humans.
Do you support multiple languages?
Yes, modern NLP models support 100+ languages. We can build multilingual solutions for text analysis, translation, and chatbots. Performance varies by language—popular languages have better model support than rare languages.
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