Docetl

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DocETL is an AI Agents & Automation tool that powers complex document processing pipelines using LLMs. It features an interactive UI playground for iterative prompt engineering and a Python package for production use.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is docetl?

DocETL is a robust system designed for agentic LLM-powered data processing and ETL, specifically tailored for complex document processing tasks. It provides an interactive UI playground, DocWrangler, which facilitates iterative prompt engineering and pipeline development, allowing users to experiment with prompts and build pipelines step-by-step. For production environments, DocETL offers a Python package that can be run from the command line or integrated into existing Python code. The tool supports integration with various LLMs, including OpenAI and AWS Bedrock, and provides detailed setup instructions for both Docker and manual development environments, making it versatile for different user needs.

Best used for

Ideal for developers and data scientists who need to create agentic LLM-powered data processing pipelines, perform complex document analysis, and extract structured information from unstructured data. Especially valuable for those requiring an interactive environment for prompt engineering and a robust Python package for production deployment.

Common actions

process documents

build data pipelines

engineer prompts

automate data extraction

automated workflowworkflowsopen-sourcedeepfakegithub copilot"AI Agents"collaborationlow-code/no-codeface swapping

Capabilities

Key features

Interactive UI playground
Python package
LLM-powered ETL
Prompt engineering
Docker support
AWS Bedrock integration

Target Audience

developerdata scientist

Integrations

openaiaws-bedrock

Pricing & Plans

Open Source

Free

FAQs

What is DocWrangler and how does it relate to DocETL?

DocWrangler is the interactive UI playground component of DocETL. It's recommended for development, allowing users to iteratively experiment with prompts, build pipelines step-by-step, and export finalized configurations before deploying them in production using the DocETL Python package.

What LLMs does DocETL support?

DocETL primarily supports OpenAI models, requiring an OpenAI API key for operations. Additionally, it offers integration with AWS Bedrock, allowing users to leverage Bedrock models by configuring AWS credentials and specifying the appropriate profile and region.

Can I run DocETL locally without Docker?

Yes, while Docker is recommended for a quick start, you can set up DocETL manually for development. This involves cloning the repository, setting up environment variables in .env files, installing Python and UI dependencies, and then starting the development server.

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