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

Extract structured data from local or remote LLM models

Reproducible diagnostic investigation of a fine-tuned SLM that scored 99.75% on evaluation and failed silently on 10% of production inputs. Full pipeline. Every number verified.

Claude Code Skill for structured information extraction from code/docs/logs. 6-step Python pipeline (source grounding, dedup, confidence scoring, entity resolution, relation inference, KG injection). Zero dependencies, no API keys. Replaces LangExtract.

A simple llm library

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

Collection of purpose-built MCP servers for AI agent workflows.

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

Auditable LLM extraction for Java enterprise — every field cites its source page+line, with bi-temporal provenance and W3C PROV-O JSON-LD audit export.

Automated research paper analysis: PDF → JSON with evidence extraction using LLMs (DeepSeek, Gemma). Extracts methods, results, datasets, and claims with precise evidence grounding.

Extract structured data from SEC EDGAR 10-K filings using LLMs (Claude/GPT-4o) + Pydantic v2 validation

Human-in-the-loop LLM orchestration with structured signal extraction and session persistence. Annotate confusion and curiosity—feedback shapes responses, topology accumulates over time. API-first design, no gamification. FastAPI + Claude + SQLite + D3.

Multilingual structured OCR (11+ languages, CJK-tuned) — MCP server with verified per-character bboxes for AI agents

Agent Zero plugin for structured document extraction — invoices, recipes, prep lists. Powered by google/langextract with source grounding.

Source content for Vstorm blog posts—carefully crafted to provide both depth and clarity, with practical insights readers can apply immediately.

AI-agent-driven venue governance database. Extracts editorial boards and program committees from journal websites using local LLMs, with entity resolution against OpenAlex.

AI-assisted PDF/DOCX packet structuring workflow with source citations, semantic retrieval, deterministic validation, and reviewer-facing run sheets.

Evaluate local LLM accuracy on structured data extraction. Tests models' ability to extract JSON from unstructured text with ground-truth comparison, F1 scoring, and fuzzy matching. Supports MLX and Ollama backends. Generates interactive reports with charts and per-model analysis.

Robust extraction of structured signals from messy unstructured text. Hybrid LLM + tool-use schema + source span linking + eval harness.