A bundled speech model turns audio into text directly on your device.
Whisper-Style Transcription, Built for Apple Devices
Get the local AI transcription workflow people expect from a Whisper app — without command lines, cloud uploads or account setup. Record or import, transcribe on-device, then edit and export.
Step by Step
Use AI Transcription Without the Technical Setup
Three steps, about a minute, zero uploads.
1
Bring your recording
Record live or import MP3, M4A, WAV, AIFF, CAF and supported video files from the native file picker.
2
Run local speech recognition
VoiceMaster handles model setup and on-device processing inside a native app, with no Python, terminal commands or API key.
3
Turn the result into useful output
Edit timestamped text, identify speakers, search the transcript and export Markdown, SRT, WebVTT or structured JSON.
Highlights
Why VoiceMaster
Private on-device transcription with pro-grade output.
No model commands, dependencies, API billing or developer workflow required.
Pro separates voices and carries speaker attribution into transcript exports.
Buy Pro once to remove transcription limits without an ongoing subscription.
What People Mean by a Whisper Transcription App
Whisper has become a common search term for accurate AI audio transcription that can run locally. But most people searching for a Whisper transcription app do not want to assemble a Python environment or manage model files. They want to open an app, choose a recording and receive usable text while keeping sensitive audio off the cloud.
VoiceMaster is designed around that outcome. Its current bundled on-device recognition model handles transcription privately, and the local-first architecture can support additional speech models as the app evolves. The useful workflow stays the same: native recording and import, timestamped text, speaker labels, search and professional exports.
More Than a Raw Whisper Transcript
A plain text file loses the connection to the recording. VoiceMaster keeps every segment tied to its timestamp, so you can tap a sentence to replay the source, correct a name and verify an important quote. Bookmarks and notes make long meetings, lectures and interviews faster to navigate.
When the transcript is ready, export plain text or audio for free. Pro adds Markdown, timestamped text, SRT and WebVTT subtitles, structured JSON, speaker identification and unlimited transcription. A lifetime Pro purchase makes that workflow available without another recurring AI subscription.
FAQ
Frequently Asked Questions
Is VoiceMaster a Whisper transcription app?
VoiceMaster provides the private, local AI transcription workflow people look for in a Whisper app. It currently includes an on-device speech model, and its architecture is designed to support additional models, including Whisper, as it evolves.
Do I need Python or an OpenAI API key?
No. VoiceMaster is a native iPhone, iPad and Mac app. Model processing happens inside the app and requires no command line, API account or usage-based API bill.
Can I get unlimited Whisper-style transcription?
Yes. VoiceMaster Pro removes transcription time and file-length limits. Choose the lifetime purchase to unlock unlimited Pro transcription without a recurring subscription.
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Try It Free — No Account Needed
120 free transcription minutes every month, on iPhone, iPad and Mac.
Download on the App Store