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WhisperScribe

RENE SUESS

Read by Perplexity on 3 of the last 30 days.

ProductivityMac app4+
  • WhisperScribe screenshot 1
  • WhisperScribe screenshot 2
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A Mac app that transcribes audio files on the device using OpenAI Whisper, with speaker recognition and five export formats.

Why it's here

5 export formats. Speaker recognition. Shortcuts & Finder integration. One-time purchase – no subscription. App under 2 MB. 100% local on your Mac.

WhisperScribe transcribes audio files entirely on-device – no upload, no cloud. Powered by OpenAI Whisper, right on your Mac.

Automation (new in 2.1.0):

• Shortcuts app: transcribe audio files with a Shortcut – fully in the background (text as the result) or visibly in WhisperScribe • Finder right-click: "Transcribe with WhisperScribe" straight from the Services menu • Perfect for recurring workflows and automation

Export & Formats:

• Export to 5 formats: PDF, Word (DOCX), Markdown, TXT, SRT subtitles • Batch export: export all transcriptions to a folder with one click • Supported audio formats: MP3, M4A, WAV, AIFF, FLAC, OGG, OPUS, AAC, WMA

Transcription:

• Speaker recognition: automatic [Speaker 1], [Speaker 2] labels in transcript • Rename speakers: replace labels with real names – reflected in all export formats • Batch processing: transcribe multiple files simultaneously (1–4 parallel jobs) • 13 Whisper models – from Tiny (75 MB) to Large v3 Turbo (2.9 GB) • Real-time progress with live transcript during processing • Auto language detection (100+ languages) or manual selection • Optional timestamps per segment

Smart Features:

• AI summary via local LLM (LM Studio, Ollama) – optional, no cloud service • Prompt templates for different use cases • Automatic paragraph formatting and typography

Compact & Affordable:

• App under 2 MB – models downloaded on demand • One-time purchase – no subscription, no hidden costs • User interface in 5 languages: German, English, French, Spanish, Italian

Privacy:

WhisperScribe collects no personal data, no usage statistics, and contains no trackers. Whisper models are downloaded once via HTTPS and stored locally. After download, the app works completely offline.

Perfect for:

• Transcribing interviews and podcasts – with speaker recognition • Creating meeting notes – batch process multiple recordings • Documenting lectures and talks • Generating subtitles from audio recordings (SRT export) • Making audio content accessible

System requirements: macOS 14.0 (Sonoma) or later. Apple Silicon recommended.

Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

Updated
Listed here
App Store ID
6761129645
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