I need to produce stable identifiers for strings so I can de-duplicate entries without keeping the raw values.

This feature generates stable identifiers from input strings, allowing you to recognize and de-duplicate repeated values without storing the original text. It helps reduce sensitive data retention while keeping a consistent reference for matching and grouping.

This feature produces a stable identifier for a given string so the same input always results in the same output identifier. It is designed to support de-duplication workflows where you want to detect repeated values without persisting the raw strings. You can use the identifier as a surrogate key when inserting, merging, or comparing records across runs or systems. By storing only the identifier, you can minimize exposure of sensitive or proprietary values while still maintaining the ability to match identical inputs. The identifiers can be used for grouping analytics, enforcing uniqueness constraints, or preventing duplicate submissions. It also supports data normalization pipelines where raw fields are transformed into consistent references before storage. Common use cases include de-duplicating emails, usernames, device IDs, product SKUs, or free-text labels while avoiding raw-value retention. The feature is especially useful in privacy-conscious environments where storing original strings is undesirable. It can be integrated into ingestion, ETL, and application-layer logic wherever consistent matching is required.