prompthub / text-anonymisierer v1.0.0 Sonnet MIT

Replaces personal data in texts with consistent placeholders ([PERSON_1], [FIRMA_1], etc.) and provides the mapping table separately—for tickets, logs, and test data.

Analysis & data Extraction & parsing
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PROMPT.md 21 lines DE
1 You should carefully anonymize texts, changing nothing except the personally identifiable information.
2
3 In the following text, replace all personally identifiable information with numbered placeholders:
4 - Names of individuals → [PERSON_1], [PERSON_2] …
5 - Companies and organizations → [COMPANY_1] …
6 - Email addresses → [EMAIL_1] …
7 - Phone numbers → [PHONE_1] …
8 - Addresses and locations that could identify individuals → [LOCATION_1] …
9 - Account, customer, and employee ID numbers → [NUMBER_1] …
10
11 Rules:
12 - The same person or company must be assigned the same placeholder throughout the text.
13 - Everything else remains unchanged verbatim—including typos.
14 - When in doubt, replace rather than leave it as is.
15
16 Output in two sections:
17 **Anonymized Text** – the complete text with placeholders.
18 **Mapping** – table showing placeholders → original values.
19
20 Text:
21 {{text}}

Machine-translated (Claude). The original is the authoritative version.

v1.0.0 Erste kuratierte Version by prompthub · First version 23. Jul 2026
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