Getting started with Snorkel Flow

This series of getting started guides is designed to help you quickly get up to speed with the core features and capabilities of Snorkel Flow. Whether you’re new to Snorkel Flow or looking to deepen your understanding, these resources guide you through key workflows to make the most of your experience.

Each of these guides helps you quickly get up and running with the platform. Explore each topic and start building your AI solutions today.

Document classification

Use Snorkel Flow's programmatic labeling to label your training data using Labeling Functions (LFs), train your models, and analyze the results, guiding you through an iterative development process. This tutorial is designed for first-time users of Snorkel Flow who are new to data-centric AI, programmatic labeling, and machine learning models.

Information extraction

Snorkel Flow supports the extraction of structured information from semi-structured documents such as PDFs, HTML, and docx files. You can then prepare your data for analysis and model training by leveraging text, layout, and image modalities to write labeling functions (LFs).

SDK quickstart

If you're a developer, the SDK quickstart shows you how to programmatically classify documents. This guide includes creating your dataset, creating an application, writing labeling functions, training a model, and deploying your model.

Walkthrough for annotators

This walkthrough explains the process of manually annotating documents in Annotation Studio, which are used to generate high-quality labeled datasets, ensuring consistency and accuracy across your projects. This guide also includes an interactive demo showing how to annotate your data.