ArchiTXT, the Python Library for Converting Unstructured Text into Structured, Searchable Data#
What is ArchiTXT?#
ArchiTXT is an open-source Python library that converts unstructured text into structured, queryable data and relational database schemas.
Managing raw textual data becomes challenging when it must be stored, queried, and integrated into downstream systems. ArchiTXT addresses this by discovering latent structural patterns in annotated corpora, inferring database schemas, and generating structured data instances aligned with the extracted model. The result is a searchable, database-ready representation of large text collections suitable for analytics and machine learning workflows.
Unlike conventional NLP pipelines that rely on manual schema engineering, ArchiTXT performs automated data modeling through a meta-grammar and iterative tree-rewriting process. This approach ensures transparency, auditability, and reproducibility in the transformation from text to database structure.
ArchiTXT is particularly suited for AI-ready dataset creation, document ingestion pipelines, knowledge base construction, and large-scale text-to-database automation.
Key Features#
With ArchiTXT, you can:
Discover the best way to organise your text data in a database.
Automatically produce a database from a collection of texts.
Make it easier and quicker to store and search unstructured text.
Turn raw text into machine-learning-ready data.
Need help?
Check out the Getting Started guide or take a look at the Usage examples section to see ArchiTXT in action.
Explore the Documentation#
Installation
Getting Started
Examples
Integrations
Fundamentals
API Reference