What teams use Redactly for
The same API call, applied at a different point in a pipeline. Each guide shows where the call goes and what it prevents.
- Redact PII before sending text to an LLMStrip names, emails, card numbers, and 37 other entity types from prompts before they reach a third-party model. One HTTP call, no retention.
- Redact PII from CSV exportsSend a CSV and get a redacted CSV back. Per-cell redaction across every column, with headers and structure preserved.
- Redact PII from support ticketsClean customer conversations before they reach analytics, QA tooling, or a third-party summariser.
- Mask PII in application logsRedact IPs, emails, tokens, and device identifiers from log lines before they are shipped to a log aggregator or pasted into a ticket.
- Sanitise production data for stagingTurn a production dump into something safe to load into a non-production environment, without losing the shape of the data.
- Redact data before sharing with vendorsShare a dataset with a contractor or vendor with the personal data removed, and keep an auditable record of what was stripped.
- HIPAA de-identification workflowsRemove names, MRNs, health plan IDs, dates of birth, addresses, and the other HIPAA identifier categories from clinical text.
- GDPR subject access requestsWhen a subject access request covers a shared record, redact the other people in it before you send the response.
Start with the playground
Paste your own text and see exactly what gets redacted before you write any code.
Open the playground