Label programmatically to break through manual labeling bottlenecks

Unblock development and deliver more AI value by dramatically accelerating training data labeling and iteration.

Maximize domain experts’ impact

Rather than asking domain experts to provide individual labels, distill their insight and intuition as labeling functions that are applied intelligently at scale.

Labeling functions can be simple or complex

Snorkel Flow can capture diverse sources of signal for labeling, including

Keywords, patterns, or phrases
Database lookups
External models
And more

Beyond brittle rule-based systems

Labeling functions (LFs) let you encode domain knowledge without worrying about every edge case. Snorkel Flow intelligently reconciles and applies imprecise and conflicting LFs in order to auto-label large training datasets in minutes

Maximize domain experts’ impact

Rather than asking domain experts to provide individual labels, distill their insight and intuition as labeling functions that are applied intelligently at scale.

Labeling functions can be simple or complex

Snorkel Flow can capture diverse sources of signal for labeling, including

Keywords, patterns, or phrases
Database lookups
External models
And more

Beyond brittle rule-based systems

Labeling functions (LFs) let you encode domain knowledge without worrying about every edge case. Snorkel Flow intelligently reconciles and applies imprecise and conflicting LFs in order to auto-label large training datasets in minutes

Platform labeling capabilities

Flexible labeling function creation

UI-based, custom code, and auto-suggested labeling functions to capture diverse sources of input.

Labeling functions from external models

Incorporate signal from integrated state-of-the-art foundation models with natural language prompts.

Auto-labeling

Snorkel Flow’s label model aggregates your labeling functions intelligently to produce training labels en masse.

Active learning

Use model guidance to prioritize programmatic labeling effort against the highest-impact slices of data.

Labeling functions from existing labels

Reuse existing labels (even noisy ones) as labeling functions that are combined and corrected by other labeling sources.

Instantaneous feedback

Get instant quantitative and qualitative feedback on the labeling functions you write for guided iteration.

Targeted slices

Comprehensive filtering options let you view and target specific slices of your data.

Diverse data displays

Multiple ways to view your data (individual, table, clusters, etc.) help you understand and label it more efficiently.

Supported data types

Conversational text

Text documents

Native PDFs

HTML files

Semi-structured
tabular data

Numeric data

Network data

And more

Labelling function suite

Capture labeling signal from diverse sources

Write labeling functions in the no-code UI or using the SDK to capture heuristics and resources across a range of complexity. Snorkel Flow combines and refines them to label at scale.

Pattern matching

If a phrase like “send money” is in a email

Third-party models

"If SentimentModel votes negative"

Database lookups

If sender is in our Blocklist.db

Legacy systems

If LegacySytem votes spam

Heuristics

If SpellChecker finds 3+ spelling errors

Crowd labels

If Worker #23 votes spam

Boolean search

If unknown_sender AND foreign_source

Elevate collaboration with
domain experts

You rely on your domain experts and business partners for insight, expertise, and feedback. Snorkel Flow makes it easy to transfer knowledge, not just labels.