Shipped: LLM Invoice Extractor
An end-to-end LLM-based invoice extraction system that converts unstructured invoice text into structured JSON. I built the training dataset, fine-tuned a Llama 3 model with PEFT/QLoRA, deployed it as an authenticated GPU-backed API on Modal, and added an evaluation client for validating extraction quality. The project is aimed at document-AI and automation workflows where consistent structured output matters. The accompanying dataset contains 600+ training examples, and the fine-tuned model is published on Hugging Face (manuelaschrittwieser/llama-3-invoice-extractor-merged).
LLMFine-TuningDocument AIStructured OutputsMLOpsPEFTModel Deployment






1 comment
Invoices are a pain point for so many small businesses and finance teams. Who do you picture using this first: accountants, bookkeeping firms, or companies handling their own payables? And have you had a chance to show it to anyone who deals with invoices every day?