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Redact sexual orientation from text, JSON, and CSV

Sexual orientation is among the most sensitive categories in any dataset and one of the most damaging to leak, including in jurisdictions where disclosure carries legal risk.

How Redactly detects sexual orientation

• Detected by the model from free text, including indirect references such as a partner description.
• Detection is model-based rather than keyword-based, so phrasing that avoids obvious terms can still be caught.
• Reported as a distinct type so you can apply your own handling policy.

Why redact sexual orientation?

Disclosure can expose a person to harm in jurisdictions where this data is criminalised, so precision matters less than never missing it.

Example request

curl -X POST https://api.bitbanger.in/v1/redact \
  -H "X-API-Key: rdct_your_key_here" \
  -H "Content-Type: application/json" \
  -d '{"text": "Employee listed their spouse, a same-sex partner, as next of kin.", "style": "replace"}'

Every hit in the response carries entity, text, start, and end. The offsets index into the text you sent, so you can apply the redactions to your own copy of the document. The full response schema is in the API reference.

Questions

Related entity types

• Religious beliefsRedact references to religious belief or affiliation from HR records, applications, and free text.
• Political opinionsRedact political opinions and affiliations from free text, surveys, and HR records.
• Health statusRedact statements about a person's health, disability, or medical status from free text.