The task
What problem does this idea solve?
Interviews, conferences, videos and spontaneous voice notes often need to be captured quickly and made searchable. Generic recorders create large files, lose data during interruptions or offer no transparent path to later transcription.
The solution concept
What will be built?
A native macOS app records system audio or microphone input locally, saves speech-optimised MP3 files with backup segments and can transcribe recordings through the locally installed Codex app after explicit approval.
Already delivered
How this solution works in practice
Choose system audio or microphone, monitor the live level and record a compact speech-optimised MP3. The app protects longer recordings in short segments, saves MP3, transcript and log with collision-safe filenames in Downloads, and can also open existing MP3 files. After you confirm, it starts the local Codex app for transcription; optional speaker hints improve structure without claiming uncertain attribution.
Information it processes
Audio source: system audio or microphone · New recording or existing MP3 file · Optional speaker hints and names · Explicit approval for transcription · Local destination folder
Delivered building blocks
Native macOS app using Swift and AppKit · ScreenCaptureKit for system audio · AVFoundation for microphone capture · AVAssetWriter for segmented recording · FFmpeg for MP3 export · Locally installed Codex app through app-server communication · Local file system and clipboard
Feature set
What the solution can do
01Record system audio from macOS applications locally
02Record microphone input as an alternative source
03Show the live audio level graphically and in decibels
04Create speech-optimised MP3 files in mono at 24 kHz and 48 kbit/s
05Split long recordings into roughly 60-second backup segments
06Merge segments into one complete MP3 after recording
07Save recordings, transcripts and logs with collision-safe names in Downloads
08Open and transcribe existing local MP3 files
09Start Codex transcription only after explicit confirmation
10Use optional speaker hints with cautious attribution
11Transcribe the latest recording again with a different configuration
12Log every step, wait period and error transparently
13Detect, stop and clearly explain unresponsive helper processes
Request implementation →Target users
Who works with it
- Journalists and podcasters
- Conference and interview teams
- Consultants and researchers
- People with regular dictation or conversation-recording needs
Outcome
What it delivers
- Compact local MP3 recording
- TXT transcript in the original language with punctuation and paragraphs
- Optional speaker structure using neutral labels where uncertain
- Timestamped activity log as a visible view and .log.txt file
- Backup segments and clear errors for interrupted processes
Capabilities
What this AI tool can do
- 1
Choose system audio or microphone and grant required macOS permissions
- 2
Start recording and check the level
- 3
Pause or stop; backup segments merge into an MP3
- 4
Optionally select a new or existing local MP3 for transcription
- 5
Explicitly approve transcription and set speaker hints
- 6
Follow progress in the activity log
- 7
Open the TXT transcript and diagnostic log in Downloads or transcribe again
Inputs and data
What the solution processes
- Audio source: system audio or microphone
- New recording or existing MP3 file
- Optional speaker hints and names
- Explicit approval for transcription
- Local destination folder
Integrations
Which systems are connected
- Native macOS app using Swift and AppKit
- ScreenCaptureKit for system audio
- AVFoundation for microphone capture
- AVAssetWriter for segmented recording
- FFmpeg for MP3 export
- Locally installed Codex app through app-server communication
- Local file system and clipboard
How to get this tool
Your options
We can build this AI tool for you, tailored precisely to your requirements. We apply the experience already gained from similar tools in this field. Contact us now for a no-obligation product consultation.
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