Record moment
Review a large record control, live-style waveform illustration and location note field.
Back to work
- Field audio journals
- AI mobile concept
Auralooma
A field-audio notebook with timestamped transcripts, semantic clip search and source-linked session summaries.
Designed around4 AI workflows
Project overview
Auralooma explores field audio journals through a mobile experience built around a waveform journal with spatial memory cards. A field-audio notebook with timestamped transcripts, semantic clip search and source-linked session summaries. The proposed journey connects record moment, transcript lens, ask the archive, sound journal. Four original phone showcases establish the visual direction, while the case study defines the supporting feature set and a proposed Swift architecture.
The challenge
Field recordists need searchable spoken notes and sound references without losing the original recording context. On a phone, the person also needs to capture information quickly, understand where an answer came from and return to the original material without navigating through a dense desktop interface.
- Keep record moment and transcript lens connected within a short mobile flow.
- Make speech transcription correctable when the model misreads the input.
- Explain suggested sound tags through visible references or user-selected preferences.
- Keep changes, sharing and data retention under explicit user control.
Our solution
The design begins with a waveform journal with spatial memory cards, using large touch targets, short task sequences and contextual sheets. Draft timestamped transcripts from selected recordings. Retrieve relevant moments from descriptions of saved audio. The companion views keep drafts, original material and accepted decisions distinct. A charcoal, amber and frost visual system gives this app its own character within the collection.
- Draft timestamped transcripts from selected recordings.
- Retrieve relevant moments from descriptions of saved audio.
- Offer editable environmental sound labels.
- Summarize selected transcripts with links back to time ranges.
Key features
Inside the platform
Find the moment inside the recording.
Original mobile interface concepts with fictional content. AI responses illustrate proposed interactions; they are not live model results.
Proposed technology stack
Proposed iOS architecture using Swift and SwiftUI. AI processing, storage and synchronization are design proposals for this concept, not integrations implemented by this portfolio.
- Swift
- SwiftUI
- Core Data
- AI services
The results
The concept defines four mobile views, four AI workflows and twelve feature areas. The next validation would ask a user to complete record moment, inspect the proposed transcript lens output and correct an intentional extraction or suggestion error. Evaluation would focus on source traceability, correction effort and task completion. No usability study or business-impact measurement is claimed.
4Original mobile showcase views
4Proposed AI workflows
12Designed feature areas
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