How to Consistently Extract Metadata from Complex Documents
Author(s): Eivind Kjosbakken
Originally published on Towards AI.
Learn how to extract important pieces of information from your documents
Documents contain vast amounts of important information. However, this information is, in many cases, hidden deep into the contents of the documents and is thus hard to utilize for downstream tasks. In this article, I’ll discuss how to consistently extract metadata from your documents, considering approaches to metadata extraction and challenges you’ll face along the way.

The article provides a higher-level overview of performing metadata extraction from documents, discussing its significance for downstream tasks, various methodologies including Regex, OCR + LLM, and vision LLMs. It addresses the challenges faced in extracting metadata, such as handling visual information and long documents, emphasizing the potential benefits and the increasing relevance of vision LLMs in this field.
Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.