Simplifies the retrieval, extraction, and training of structured data from various unstructured sources.
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Updated
Oct 22, 2025 - Python
Simplifies the retrieval, extraction, and training of structured data from various unstructured sources.
Structured data extraction from research literature
Low-Cost Cross-Domain Web Structured Information Extraction using specialized LoRA adapters.
A ruby gem to extract structured data from Google Local Search Results using the serpapi/bert-base-local-results model, enabling parsing, classification, and information extraction from English HTML content.
Extract structured data from semi-structured documents using any OpenAI-compatible LLM, with per-field grounding and confidence.
Convert any document format into LLM-ready data format (markdown) with advanced intelligent document processing capabilities powered by pre-trained models.
find a template of many similar html files
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
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
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
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
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
A complete engineering case study in building an event-driven OCR pipeline: system design, distributed workers, hybrid AI model routing, and production observability - not just an OCR API wrapper.
Performance driven Go library for crawling and extracting structured content from the web.
A working AI agent that triages invoices end to end on LangGraph: extracts fields from raw text, validates against business rules, self-corrects, and posts to a mock ERP. Includes a held-out eval with real numbers. A winder.ai demo.
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
SchemaSure — independent third-party profile of a public API surface, by API Evangelist. Structured data extraction API that converts unstructured text or HTML into JSON guaranteed to validate against a caller-supplied JSON Schema, or returns a typed error at no charge. Access is gated by x402 pay-per-call micropayments (USDC on Base), with no acco
LlamaParse — independent third-party profile of a public API surface, by API Evangelist. LlamaParse is an enterprise document parsing and AI pipeline platform from LlamaIndex that converts complex PDFs, Office files, and 130+ document formats into LLM-ready structured outputs.
Supports text, image and structured data
AI-powered assistant for analyzing Engineering Change Orders (ECOs) using Google Gemini and RAG
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