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Releases: ibrahimqureshae/whisperx-transcriber

WhisperX Transcriber v1.2.0

09 Jun 17:39

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What's new

⚡ Instant Cancel

Transcription now runs in a separate process that is terminated immediately when you click Cancel — no more waiting for the current stage to finish.

🎨 Redesigned interface

  • Everything to run a job is now on one clean, fixed-size screen: file, language, model, device, output formats, save location, and options.
  • Advanced settings (precision, performance tuning, silence detection, subtitle formatting, model storage) live behind a dedicated Settings tab.
  • Cleaner dropdowns, improved text contrast and readability.
  • The activity log appears only while a job is running and auto-hides when done.

Install

  1. Download WhisperXTranscriber.zip below (~19 MB)
  2. Extract anywhere — no installer, no admin rights
  3. Run WhisperXTranscriber.exe and follow the one-time setup wizard

Full changelog: CHANGELOG.md

WhisperX Transcriber v1.2.0 — macOS (experimental)

09 Jun 21:32

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⚠️ Experimental build. This macOS package is built automatically on a macOS CI runner but has not yet been tested on real Mac hardware, and it is not code-signed/notarized. It is published for testing and feedback. The supported, stable download is the Windows release.

What this is

The same thin-launcher app as Windows, built for Apple Silicon (arm64) Macs. The GUI shell is ~16 MB; the AI engine installs on first run via the setup wizard.

Requirements

  • Apple Silicon Mac (M1/M2/M3/M4). Intel Macs are not covered by this build.
  • Python 3.10–3.13 installed (from python.org). The macOS wizard does not auto-install Python — install it first, then click Check again.

Install & run (Gatekeeper workaround)

Because the app is unsigned, macOS Gatekeeper will block it on first launch. To run it:

  1. Download and unzip WhisperXTranscriber-macOS-AppleSilicon.zip
  2. In Terminal, clear the quarantine flag:
    xattr -dr com.apple.quarantine /path/to/WhisperXTranscriber
    
  3. Run ./WhisperXTranscriber/WhisperXTranscriber
  4. The first-run wizard installs the AI engine into runtime/ (CPU/MPS torch)

Known limitations

  • Unsigned → Gatekeeper warning (see workaround above)
  • Apple Silicon only (no Intel x86_64 build yet)
  • Not yet verified end-to-end on Mac hardware — please report issues

A signed, notarized, double-clickable .app requires an Apple Developer ID and is planned once the runtime flow is confirmed on real hardware.