VoiceBrief — From Voice Messages to Structured Briefs and Next Steps

The product idea

An app that turns recordings and selected voice messages into a verbatim transcript and a structured brief, then extracts practical information such as tasks, dates, and suggested replies.

The problem

Voice messages are convenient to send but difficult to review, especially when they contain work details, instructions, or several dates. Users may need to replay the same audio repeatedly to find one piece of information.

Intended users

Business owners, freelancers, employees, students, and anyone who receives voice messages or keeps recordings that need to be reviewed and organized. These are potential use cases, not claims about an existing customer base.

The goal

Reduce repeated listening and turn audio into a result that can be read, reviewed, and acted on—without presenting AI output as a substitute for user verification.

User flow

The user shares an audio file from a compatible app, imports one from the device, or records new audio. They review the waveform and trim the useful section, then VoiceBrief processes it and presents the transcript, brief, action items, dates, and replies. The user verifies dates and times before opening the calendar or setting an alarm.

SeenTK’s role

We designed and developed the cross-platform product experience, integrated speech and AI processing with device capabilities, built authentication, usage, subscription, and local-storage services, and prepared testing and store releases.

The solution

We built a cross-platform Flutter app that combines audio sharing, importing, recording, waveform review, trimming, server-side processing, and result storage and sharing in a clear Arabic and English journey.

Key challenges

The product combines file sharing, recording, trimming, notifications, calendar and alarm integrations, server processing, usage allowances, and subscriptions. It also has to communicate that ambiguous names, dates, and times may require review.

Technical implementation

VoiceBrief uses Flutter and Dart, native Swift and Kotlin integrations, Supabase authentication, storage, and server functions, OpenAI services for audio and content processing, RevenueCat for subscriptions, and Drift for local result storage.

Implemented capabilities

Receive audio through compatible apps’ share menus, Import files or record inside the app, Review the waveform and trim the useful section, Create a verbatim transcript and concise brief, Extract key points and action items when available, Detect dates for review before opening the calendar or setting an alarm, Offer suggested replies in tones available to the selected plan, Copy, share, and store results locally, Arabic and English support with light and dark themes, Sign-in, subscription management, and purchase restoration

Technology and scope

Arabic and English product experience, Cross-platform Flutter application, Audio import, recording, and trimming, Speech and content processing with AI, Notification, calendar, and alarm integrations, Authentication and usage allowances, In-app subscriptions, Local result storage, Testing and store preparation

Current publication status

Available on the App Store; Android was in closed testing at the latest verification

What we learned

AI becomes useful when it is part of a clear flow: select the content, review it, process it, inspect the result, and confirm the action instead of executing it automatically.

Documented result

The app is publicly available on the App Store. The Android version was in Google Play closed testing at the latest verification. We do not publish unverified user, rating, or commercial figures.

Status and what this project proves

Available on the App Store; Android was in closed testing at the latest verification. The public App Store listing documents a real published product. This case study shows SeenTK’s ability to combine speech processing, AI, native device capabilities, and backend services in a complete productivity experience.

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