Auralooma
Mobile App

Project Type
Concept Study
Industry
Media
Services
Mobile App & AI Design

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.

Auralooma Mobile App hero

Original mobile interface concepts with fictional content. AI responses illustrate proposed interactions; they are not live model results.

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.

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.

Results

  • 4

    Original mobile
    showcase views

  • 12

    Designed
    feature areas

  • 4

    Proposed AI
    workflows

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Auralooma
Mobile App

Project Type
Concept Study
Industry
Media
Services
Mobile App & AI Design

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.

Auralooma Mobile App — hero

Original mobile interface concepts with fictional content. AI responses illustrate proposed interactions; they are not live model results.

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.

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.

Results

  • 4

    Original mobile showcase views

  • 12

    Designed feature areas

  • 4

    Proposed AI workflows

Let’s Crafting

Visual Impact

Start a Project