DeepL expanded its privacy policy to add detailed disclosures about DeepL Voice and Voice-to-Voice services, including how audio data, transcripts, and translations are processed and retained. The updated policy now specifies retention periods (20 seconds to 30 days depending on organization settings), describes speaker matching and voice characteristic processing, and clarifies that audio is deleted after transcription and translation unless retention settings apply. The policy also discloses use of ElevenLabs as a subprocessor for backup voices in languages where DeepL does not have its own voice model.
The updated policy discloses how DeepL Voice processes audio data during real-time translation. Audio, transcripts, and translations are deleted after use unless your organization sets a retention period (ranging from 20 seconds to 30 days). The policy also discloses that DeepL processes voice characteristics for speaker matching (up to 30 seconds per session) and may process tone and speaking style if voice matching is enabled. For languages without DeepL's own voice model, the policy now discloses that ElevenLabs processes backup voice data on DeepL's instructions. You can update voice matching settings at any time, and guests can opt out of voice matching or switch to pre-set voices on a per-meeting basis.
→ Review your organization's transcript retention settings in DeepL Voice (if you are an account administrator) to confirm the retention period aligns with your needs.
→ If using voice matching, update your settings at any time or disable the feature if you prefer not to have tone and speaking style processed.
→ As a guest, you can opt out of voice matching or switch to pre-set voices on a per-meeting basis via the DeepL hosted site.
Audio, transcripts, and translations are deleted after use unless organization sets a retention period (20 seconds to 30 days); administrators can view and download transcripts from dashboard.
DeepL processes voice characteristics for up to 30 seconds per session to differentiate speakers; if enabled, tone and speaking style may be processed and carried into translated voice output.
For languages without DeepL's own voice model, ElevenLabs provides backup voices and processes voice data on DeepL's instructions.
This change record describes what was added, removed, or modified in the document. Analysis reflects what the updated agreement states or permits. It does not constitute a legal determination about enforceability. Applicability may vary by jurisdiction. Methodology
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DeepL expanded its privacy policy to add detailed disclosures about Voice service data processing, retention, and subprocessor use. The changes clarify that audio is processed and deleted after transcription unless organization-level retention settings apply, and …
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Unlock the full institutional analysis — InsightConductAtlas provides verified policy intelligence sourced directly from platform documents. All analysis is intended to support, not replace, legal and compliance review. Record CA-X-005116.
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