Structured Extraction Python Packages

pdfmux

PDF extraction that checks its own work. #2 reading order accuracy — zero AI, zero GPU, zero cost.

ocrcontext

Intelligent document OCR and structured extraction. Turn PDFs and images into typed JSON with zero vendor lock-in.

confident-extract

Deterministic structured extraction from noisy LLM/OCR output. Zero LLM round-trips, microsecond latency, confidence score on every result. msgspec · Pydantic · dataclasses.

sibila

Extract structured data from local or remote LLM models

analyxa

Multi-dimensional extraction engine for AI conversations.

summaryxtract

A new package is designed to facilitate structured, reliable extraction of key insights from user-provided texts about cultural topics. It accepts a text input, such as an article or discussion prompt

news-summizr

news-summizr extracts structured summaries from headlines, labeling key points like announcement, products, region for quick insight.