Can You Delete Voice Journal Audio in Daylogue?

The audio recording is not kept

Daylogue does not store audio recordings. Voice is processed in real time and only the extracted structured data is saved, protected in transit by TLS and by strict per-user access controls. The voice feature uses live speech processing to conduct the check-in, then turns what you chose to share into the same kinds of fields used by a typed check-in. The current Voice Check-ins page at /features/voice explains the product flow.

That means a search for a saved audio library or recording-delete button starts from the wrong model. There is no stored recording in the described flow. What remains is the extracted check-in data and any generated narrative or pattern output that depends on it. Those records deserve their own review before you speak.

What remains after the conversation

Daylogue's public voice and privacy pages establish live transcription and saved structured check-in data, but they do not establish that Daylogue retains a full transcript after the check-in. The structured fields are stored in readable form so Daylogue can use them in narratives and patterns. Voice and typed check-ins can therefore contribute comparable fields to the personal record even though the raw audio is discarded.

Transcript retention remains unspecified in those public pages. Before a voice check-in, decide whether you are comfortable storing the extracted fields under the current Daylogue privacy policy at /privacy, and verify the live product if transcript retention matters to your decision. If you only want to say something without adding structured data to the system's record, this flow is not described as an ephemeral note mode.

Follow the voice processing chain

The privacy policy names Deepgram for speech-to-text, ElevenLabs for conversational voice, and AWS Bedrock for AI processing. It states zero data retention per contract for the voice providers and zero data retention for Bedrock processing. All voice data travels through the processing chain in readable form while the feature is working, even though the audio is not kept afterward.

Daylogue does not run emotion recognition on your face or on the tone of your voice. It works only from what you choose to share. The words and structured answers drive the check-in record. A pause, accent, volume change, or facial expression is not described as a hidden emotional signal.

Ask the right deletion question

If your goal is to remove what you said, ask about the resulting check-in and possible transcript, not an audio file. Daylogue's public pages establish that account data can be deleted, but they do not document a screen-by-screen deletion path for one extracted voice check-in. Check the current product controls or privacy request process before relying on a specific route.

When evaluating any voice journal, separate four controls: stop recording, discard before submission, delete the saved transcript or entry when one exists, and delete the account. A product can offer one without offering all four. Clear retention language should name the artifact, the processor, the duration, and what remains after processing.

• Confirm whether raw audio is stored at all.
• Check whether a full transcript becomes part of the journal.
• Find out how to remove one saved check-in.
• Verify what generated summaries remain after a source entry changes.

Readable does not mean public

Daylogue protects data in transit with TLS and uses per-user access controls, but voice-derived records are not end-to-end encrypted. Its servers read extracted data to write narratives and surface patterns. No one else using Daylogue can see your private journal by default, yet the service itself must process readable content for these features to work.

The policy also says Daylogue does not sell personal data or use personal entries to train AI models. Those protections answer different questions from encryption and retention. Review each one separately. A no-sale promise does not mean the service cannot read an entry, and discarded audio does not mean the transcript disappeared.

Choose voice when the retained record fits

Voice can lower the effort of a check-in on a day when typing feels slow. The Voice Check-in image centers on an orange waveform and the Listening state. It does not show a recording archive or audio playback control.

Use the feature when you want your spoken words to contribute structured data to your ongoing Daylogue record. If you need a tool that saves audio for replay, or a mode that discards every extracted field, verify that requirement elsewhere. The useful boundary is simple: no stored audio recording does not mean no stored data.