Turn messy document collections into structured rows with DocETL

Define repeatable extraction pipelines that pull fields from large document collections, normalize outputs, and audit failures across the corpus.

Prerequisites

Python 3.10+, DocETL, document corpus, extraction configuration

Installation

Use the upstream install or setup path that matches your environment:

• Use Docker (recommended for quick start): make docker
• pip install docetl
• Run Docker:
• make docker

Requirements and caveats from upstream:

• A Python package for running production pipelines from the command line or Python code

• 2. 📦 Python Package (For Production Use)

• If you want to use DocETL as a Python package:

Basic usage or getting-started notes:

• 🚀 Getting Started

• DocWrangler is hosted at docetl.org/playground. But to run the playground locally, you can either:

• OpenAI API key

• Source: https://github.com/ucbepic/docetl

• Extracted from upstream docs: https://raw.githubusercontent.com/ucbepic/docetl/HEAD/README.md

Documentation

• https://docetl.org/

Source

• Agent Skill Exchange