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agents.writerslogic.com

Redacts personal data from text at the level you choose and proves the output is clean by scanning it again. Pick a level: 1 government identifiers (SSN, ITIN, EIN, UK NINO, Canadian SIN, driver's license, passport), 2 adds dates of birth, 3 adds street addresses and phone numbers, 4 adds person names and email addresses. Then switch single categories on or off with include and exclude, or name the exact set with categories; extras are credit cards, IBANs, routing and account numbers, IP addresses, URLs, every date, and organizations. minDigitRun redacts any run of that many digits, terms redacts words you list (business names, project names), and keep protects strings such as your own email address. Detectors use checksums and structure rules (Luhn, ABA, mod-97, SSN and EIN rules) so ordinary numbers are not swallowed, and every later mention of a redacted value is redacted too. Replacements are labels like [REDACTED:SSN], one generic marker, numbered tokens like [PERSON_2] that stay consistent, or labels that keep the last four characters. The response lists category, position and confidence for each redaction and never repeats the original values. The engine rescans its own output and returns an error (payment released) rather than a result that still contains a detected value. Names and organizations are heuristic; set useModel to add a model pass for names, organizations and addresses, which sends the text to the configured language-model provider. Text only, up to 1,000,000 characters (the request body may be up to 4 MB of UTF-8); nothing is stored and no digest of the input is returned.