The privacy layer between sensitive transcripts and AI tools
Nonymize helps coaches, consultants, researchers, and people teams replace identifying details in transcripts before using them with ChatGPT, Claude, Gemini, Copilot, or other analysis workflows.
Workflow preview
Choose the output style before analysis
Raw transcript
Melissa told Jordan she was overwhelmed after the Northstar Health board review.
Her follow-up with Dr. Rivera is scheduled for Monday in Portland.
Compliance output
[Person A] told [Person B] she was overwhelmed after the [Organization A] board review.
Her follow-up with [Person C] is scheduled for [Date A] in [Location A].
Narrative output
Maya Chen told Elias Brooks she was overwhelmed after the Harbor Health board review.
Her follow-up with Dr. Naomi Patel is scheduled for Monday in Portland.
One transcript, two useful privacy styles
Choose literal labels for review-heavy work or readable aliases for analysis-heavy prompts.
Why this matters
Raw transcripts reveal more than names
A professional conversation can expose clients, employees, vendors, families, companies, locations, timelines, appointments, and private business context. The safer workflow is to avoid sending identifiable details that were never needed for analysis.
Two anonymization modes
Choose the anonymization style that fits your needs
Choose narrative mode when you want readable replacements for analysis. Choose compliance mode when you need literal labels like [Person A] and [redacted].
Compliance mode
Legal, HR, etcLiteral replacements for review-heavy work
Best when traceability and obvious redaction matter more than narrative flow.
[Person A] told [Person B] she was overwhelmed after the [redacted] board review.
Her follow-up with [redacted] is scheduled for [redacted] in [redacted].
Narrative mode
Coaching, researchReadable aliases for analysis-heavy work
Best when you want the transcript to stay readable for prompts, summaries, and human review.
Maya Chen told Elias Brooks she was overwhelmed after the Harbor Health board review.
Her follow-up with Dr. Naomi Patel is scheduled for Monday in Portland.
Privacy by design, without magic claims
A privacy step you can understand
Nonymize is designed to reduce what sensitive information reaches downstream analysis tools. Transcript content is sent to configured managed extraction backends solely to provide anonymization. Customer transcripts are not used to train, fine-tune, evaluate, or improve models.
Simple, transparent pricing
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