The Biffer document anonymization blog: redact and protect your files
Our document anonymization blog brings together practical articles on redacting and anonymizing documents: definitions, step-by-step methods, comparisons of tools and GDPR landmarks. We write them for people who handle sensitive files every day, legal professionals, HR teams, healthcare professionals, accountants, trainers, and who need to share them without exposing the people mentioned.
Each article starts from real documents, an employment contract, a balance sheet, a patient file or a tax notice, and relies on official sources: the text of the GDPR, guidance from data protection authorities, and French statutes published on Légifrance.
Latest articles
What does striking out text mean (and why Biffer is named after it)
Striking out, biffage, redaction, blacking out: what these words cover, why you strike out data in a contract or patient file, and how to do it without leaving a trace.
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How to redact a confidential business document
Employment contract, balance sheet, patient file: which data to remove, which redaction mode to choose for each recipient, and what to check before sending.
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How to anonymize a document
The GDPR framework and the three European criteria, a five-step method that works for any file, and what is specific to Word, PDF and Excel.
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Document anonymization tools: which one should you choose?
Five families of tools, from manual work in Word to offline software, compared on confidentiality, reversibility, formats, cost and the GDPR.
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What is redaction? Meaning, origin and examples
What redact and redaction mean, where the word comes from, and examples of redacted documents, from the censored newspaper to the government PDF.
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What is anonymization? Definition, methods and examples
The definition of anonymization under the GDPR, how it relates to de-identification, the two families of techniques, and examples that worked or failed.
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Anonymization vs pseudonymization: what is the difference?
Pseudonymization under article 4 of the GDPR, anonymization under recital 26, a comparison table and a simple rule for choosing according to your document.
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How to remove text from a PDF: what really disappears when you erase, cover or redact
Erase, cover or delete: what each tool leaves in the file, redaction failures that made headlines, and a method that makes the text really disappear.
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ChatGPT privacy: what happens to your data, and what not to share
Retention, model training, temporary chats, business plans: what OpenAI provides for, and what is better never pasted into a conversation.
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Personal data definition: examples and what to remove from a document
The article 4 GDPR definition, ordinary, sensitive and criminal data, examples from real documents and a checklist before any sharing.
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How to mark a confidential document
Standard labels ("Confidential", "Internal use only"), classification levels in business and government, and how to apply them in Word.
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How to anonymize a Word document: comments, author and tracked changes
What Word stores without showing it, how to anonymize comments and tracked changes, and how to treat the text itself without missing anything.
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The articles complement the site's practical pages, such as anonymize a document, redact a document and the regulations that apply to personal data. Biffer, our software for Mac and PC, applies these methods on your computer, with no connection during processing.
The articles fall into two families. Definitions set out the vocabulary: striking out, redaction, anonymization, pseudonymization and personal data. Practical guides deal with concrete situations: anonymize a Word document, remove text from a PDF, mark a document as confidential or understand what happens to your data in ChatGPT.
Your business documents anonymized, ready to be published or handed to an AI tool.
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