LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
-
Updated
Oct 5, 2026 - Python
LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
Universal prompt library for structured outputs & ready-to-use content. Teachers get lesson plans, developers get reliable JSON/CSV. Works across GPT-4, Claude, Gemini.
Turn Chaos Into Structure. A Type-Safe AI Agent that extracts valid JSON from unstructured data using PydanticAI, FastHTML, and Gemini 2.5.
Universal page-to-data extractor, turn URLs or HTML into clean Markdown, JSON, or Text for RAG and AI workflows. Rust API + Tauri desktop app.
n8n workflow templates extractor
Fine-tune Qwen3-0.6B for resume parsing using LoRA
Schema-validated LLM extraction eval harness (Anthropic Claude): failure taxonomy (correct/missing/wrong/hallucinated), per-field accuracy, deterministic offline replay, cost/latency accounting, and confidence-gated human review. Structured outputs over grid-interconnection docs as the worked example.
Extracts CRM fields (会社名/相手/次アクション/期限/リスク) from messy Japanese meeting notes into strict JSON with Qwen 2.5 72B. Frozen 30-note eval: 60% exact match (contact 100%, company 97%). Streamlit + Docker. | 日本語商談メモ→CRM項目JSON抽出
A full-stack AI Document Intelligence API that extracts, parses, and converts unstructured PDF content into summaries, key insights, and structured data outputs using FastAPI, PyMuPDF, and Google Gemini API.
AI-powered structured web scraper that visually builds JSON schemas and uses Gemini 2.5 Flash & Playwright to extract clean, validated JSON with >80% DOM noise reduction.
Structured JSON extraction from LLMs with validation, repair, and streaming.
Turn handwritten forms, notes, and scanned paperwork into automation-ready JSON
Convert unstructured text to validated JSON using AI. Dynamic JSON Schema per request. Powered by Google Gemini. Available on RapidAPI.
Production-style fine-tuning project for schema-constrained JSON extraction using QLoRA + DPO, with reproducible evals, training curves, and vLLM benchmarks.
A Json Analysis Tool
Professional-grade AI logistics pipeline built with Java 17 and Spring Boot 3. Converts unstructured documents into validated JSON via non-blocking WebClient adapters (Groq/Llama 3.1). Features real-time dashboard, Slack/Email notifications, and secure error handling."
Zero-shot vs few-shot JSON-extraction agent for finance complaint triage (Qwen2.5-7B on Kaggle GPU, Groq fallback)
Fine-tuned Qwen2.5-7B on Fireworks AI for structured JSON extraction from job postings. LoRA SFT + DPO | FastAPI | +47% over baseline.
Hybrid deterministic + distilled LLM structured extraction (JSON): schema registry, hard-example generation, teacher-validation gate, knowledge distillation, hybrid routing. V2/V3 research whitepapers, full provenance, evidence graphs.
Extract valid JSON data from arbitrary text - a focused Go library and CLI tool
To associate your repository with the json-extraction topic, visit your repo's landing page and select "manage topics."