Structured Data Extraction Python Packages

llm-data-converter

Convert any document format into LLM-ready data format (markdown) with advanced intelligent document processing capabilities powered by pre-trained models.

fastdocparse

Extract structured data from semi-structured documents using any OpenAI-compatible LLM, with per-field grounding and confidence.

document-data-extractor

Convert any document format into LLM-ready data format (markdown) with advanced intelligent document processing capabilities powered by pre-trained models.

axetract

Low-Cost Cross-Domain Web Structured Information Extraction using specialized LoRA adapters.

citation-ready

Check whether a page carries the structural signals observed on content AI engines tend to cite — schema, answer-first structure, heading outline, freshness, entity consistency, llms.txt. Observed correlations, not guarantees. Zero dependencies, Python standard library only, runs offline.

financial-parser

A new package is designed to analyze financial news headlines and extract key structured information such as company names, financial targets, timeframes, and goal updates from text inputs. It simplif

dns-insight-extractor

This new package facilitates extracting structured insights from text-based content related to domain-specific issues, such as analyzing DNS blocking reports. Given unstructured text describing networ

iac-summarizer

A new package that analyzes technical arguments and extracts structured summaries from text discussions about infrastructure-as-code practices. It takes user-provided text (such as forum posts, articl

textract-io

A new package designed to facilitate structured extraction of key information from scientific or factual text inputs, enabling precise summaries, data extraction, or categorization based on user promp

text-snippet-summarizer

A new package facilitates extracting a concise, structured summary from user-provided news headlines or brief texts by utilizing pattern matching and LLM interactions. This tool aims to help researche

resume-yaml-builder

A new package that leverages language models to transform structured YAML data into well-formatted resume PDFs. Users provide their resume details in YAML format, and the package extracts key informat

validex

Simplifies the retrieval, extraction, and training of structured data from various unstructured sources.