Recognizers-Text is a multilingual text recognition library that extracts structured information such as dates, numbers, and currency values from unstructured text.

Features

  • Supports entity extraction for dates, times, numbers, and currencies
  • Works with multiple languages and localization formats
  • Integrates with AI and chatbot applications for text understanding
  • Provides prebuilt models for recognizing common text patterns
  • Works across different platforms, including .NET, Python, and JavaScript
  • Open-source with ongoing updates from Microsoft

Project Samples

Recognizers-Text Screenshot 1

Project Activity

See All Activity >

Categories

Natural Language Processing (NLP)

License

MIT License

Follow Recognizers-Text

Recognizers-Text Web Site

You Might Also Like
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Recognizers-Text!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

C#

Related Categories

C# Natural Language Processing (NLP) Tool

Registered

2025-01-22
Report inappropriate content