Whisper Desktop v3.0.1

Whisper Desktop v3.0.1 is a focused maintenance and polish release delivering substantial usability enhancements to the Hardsub Studio, smoother video preview playback, refined RTL/UI ergonomics, and hardened cross-platform packaging.

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🌟 What's New & Highlights

🎬 Hardsub Studio & Video Player Enhancements

• Direct Video Playback Action: Added a dedicated "Play Exported Video" action button immediately upon completing a hardsub render, allowing instant verification in your default media player.
• Persistent & Synchronized Volume Controls: The video player volume slider is now permanently visible with refined spacing and zero desynchronization between initial audio levels and player controls.
• Playback Stall Auto-Recovery: Implemented an intelligent watchdog mechanism that detects and automatically recovers stalled or frozen video preview streams.
• Ergonomic Subtitle Cue Editor: Cue textareas now dynamically auto-expand to fit multiline content with an ergonomic 48px minimum height floor, eliminating awkward nested scrollbars.
• RTL Canvas Overlay Fix: Eliminated initial horizontal canvas offsets in Right-to-Left (RTL) mode, ensuring subtitles align with millimeter precision from the first frame.

🎨 UI Refinements & Internationalization

• Ultra Reasoning Support: Integrated the Ultra Reasoning tier in the translation engine, complete with proper RTL layout alignment and robust settings null-safety.
• Adaptive Themed Scrollbars: Implemented modern, unobtrusive scrollbars styled to match the dark theme and eliminated layout shifting (scrollbar gutter polish).
• Stable Transcribe Layout: Locked grid dimensions in the transcription studio to prevent responsive jitter across different window sizes.

⚙️ CI/CD & Cross-Platform Packaging Hardening

• Accelerated Windows Builds: Enabled parallel multi-core MSVC compilation (-j) across all Whisper backend targets in the CI workflow.
• Linux AppImage Packaging Fixes: Resolved linuxdeploy failures concerning Level Zero loader symlinks and guaranteed explicit POSIX executable permissions across all bundled runtimes.
• Bundled Runtime Assets: Improved distribution bundles with companion OpenVINO backend plugins and hardware cache files.

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📝 Commit Changelog

• 9920c7f ci(linux): resolve AppImage linuxdeploy failure with Level Zero loader and symlink hygiene
• a636957 ci(windows): enable parallel multi-core compilation for whisper backends
• 713f0ed feat(hardsub): add direct play exported video action button
• bebb55d style(ui): harmonize reasoning dropdown width and implement adaptive themed scrollbar
• d86eaa0 fix(ui): add ultra reasoning, fix rtl reasoning alignment and settings null-safety
• d6e2431 fix(ui): polish provider cards i18n and hardsub scrollbar gutter
• bddb66b fix(ui): enforce 48px ergonomic floor for hardsub cue textareas
• de6fef1 fix(hardsub): eliminate cue textarea internal scroll and auto-fit heights
• 80a0b64 fix(ui): auto-expand hardsub cue textareas and lock transcribe grid layout
• 98372de chore(release): bump application version to 3.0.1
• a206561 fix(hardsub): polish preview status banner and package OpenVINO cache on Windows
• 413ba11 fix(hardsub): polish volume controls and auto-recover stalled video playback
• bd3ab05 fix(hardsub): synchronize initial video audio and tighten volume slider spacing
• a7f9595 feat(hardsub): keep video player volume slider permanently visible
• ba5aff6 fix(hardsub): prevent initial canvas overlay offset in RTL and first-load
• 90aca13 fix(ci): enforce POSIX execute permissions on AppImage repackaging
• 6d55e39 docs(screenshots): update hardsub and models preview assets
• fc026d7 ci(workflow): bundle OpenVINO device backend plugins and GPU cache

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📦 Downloads & Installation Hub

Tip

Which edition should you choose?

• Universal Edition: Ideal for all standard setups (AMD Radeon, Intel Arc / Iris Xe / Core Ultra, Apple Silicon, and CPU-only systems). Dynamically leverages Vulkan, OpenVINO, Metal, or optimized AVX2/NEON backends.
• NVIDIA CUDA Edition: Best for PCs with dedicated NVIDIA GeForce RTX / GTX graphics cards (ships with pre-configured CUDA 12 runtimes for maximum inference speed).

🪟 Windows (x64 & ARM64 via Prism)

Compatible with Windows 10, Windows 11, and Windows Server 2019+

Universal Edition (AMD Radeon, Intel Arc / Iris Xe, Standard CPU)

• — Standard setup wizard (auto-installs Visual C++ 2015–2022 redistributable if missing)
• — Zero-install standalone archive (run from any folder or USB drive)
• — Windows Installer package for enterprise managed environments

NVIDIA CUDA Edition (Dedicated RTX / GTX Hardware Acceleration)

• — Full installer with bundled CUDA 12 runtimes
• — Standalone portable archive with CUDA acceleration
• — Enterprise MSI with CUDA acceleration

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🍏 macOS (Apple Silicon M1–M4 & Intel)

Compatible with macOS 12 Monterey, macOS 13 Ventura, macOS 14 Sonoma, and macOS 15 Sequoia

• — Native Mach-O Universal binary with Metal GPU acceleration for Apple Silicon and Intel Macs

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🐧 Linux (x86_64 & ARM64)

Compatible with Ubuntu 20.04+, Debian 11+, Fedora 38+, Arch Linux, and RHEL 9+

Arch Linux (AUR)

yay -S whisper-desktop-bin

x86_64 Universal Edition (Vulkan, Intel OpenVINO, CPU)

• — Standalone binary; runs on any modern distribution
• — Native package for Debian, Ubuntu, and Linux Mint (zstd compressed)
• — Native package for Fedora, RHEL, and openSUSE (zstd compressed)

x86_64 NVIDIA CUDA Edition (Dedicated RTX / GTX Acceleration)

• — Portable AppImage with bundled CUDA acceleration
• — Native .deb package with CUDA support
• — Native .rpm package with CUDA support

ARM64 (aarch64) Universal Edition (SBCs & ARM Linux Desktops)

• [](https://github.com/AtomicError/whisper-desktop/releases/download/v3.0.1/WhisperDesktop_3.0.1_aar...

Whisper Desktop v3.0.0

Whisper Desktop v3.0.0 ✨

Whisper Desktop v3.0.0 marks our largest and most ambitious milestone to date. What began as a streamlined desktop transcription tool has evolved into an all-in-one, privacy-first local media studio — combining high-performance offline speech recognition, an enterprise-grade AI subtitle translation suite, and frame-accurate, hardware-accelerated video subtitle mastering.

Every layer of the application has been overhauled for native desktop speed, zero background overhead, and complete accessibility across Windows, macOS, and Linux.

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⚡ v3.0.0 at a Glance (TL;DR)

• 🎬 Studio Hardsub 2.0: A complete canvas-powered video subtitle mastering suite with pixel-perfect preview, local streaming, dynamic hardware encoder probing, and granular typography controls.
• 🌐 AI Subtitle Translation Studio: Independent bilingual workspace supporting 122 languages, synchronized scrolling, cognitive thinking-tag stripping, and seamless connection to cloud & local LLMs.
• 🚀 Universal Dynamic CPU Dispatch: Zero-crash runtime architecture. Automatically detects your processor's vector capabilities (from legacy SSE4.1 up to AVX-512 & NEON) with zero illegal instruction errors.
• 🤖 5-Role Hardware Model Hub: Real-time hardware profiler that recommends the exact right Whisper model for your RAM and GPU (NVIDIA CUDA, AMD Vulkan, Intel Arc/OpenVINO, Apple Metal).
• 🌍 13 Fully Localized Languages & Native RTL: Complete UI translations with symmetrical RTL layouts, content-aware text direction, and Unicode RLM punctuation anchoring.

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🌟 Major Highlights

🚀 Universal Hardware Runtime & Dynamic CPU Dispatch

• Dynamic Instruction Set Dispatch (Zero-Crash Guarantee): Architected the core execution pipeline with GGML_CPU_ALL_VARIANTS and GGML_BACKEND_DL. The application packages all CPU vector extensions (AVX-512, AVX2, AVX, FMA, F16C, SSE4.1, baseline x86-64, and ARM64 NEON) and dynamically loads the optimal instructions for your specific host CPU at runtime.
• Legacy & Modern CPU Parity: Completely eliminates STATUS_ILLEGAL_INSTRUCTION (Windows 0xc000001d) and SIGILL (Linux) crashes on older processors (e.g. Intel Core 2 Quad, 1st-gen Core i, legacy Xeons) while seamlessly unlocking maximum hardware vector throughput on cutting-edge architectures.
• Automated Runtime Library Resolution: Engine runners automatically propagate companion shared libraries (.so, .dll) and manage dynamic linker paths (LD_LIBRARY_PATH, DYLD_LIBRARY_PATH, and PATH) across AppImage, DEB, RPM, NSIS, MSI, and Portable ZIP distributions.
• Silent Child Processes on Windows: Suppressed console window flicker across all child process invocations (whisper-cli, ffmpeg, ffprobe, nvidia-smi, taskkill) using native CREATE_NO_WINDOW flags.
• Auto-Provisioned VC++ Runtimes: The Windows setup wizard automatically verifies and installs the Microsoft Visual C++ 2015–2022 x64 Redistributable if absent.

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🎬 Studio Hardsub 2.0 — Real-Time Video Subtitle Mastering

• Canvas-Powered 2D ASS/SSA Rendering Engine: Completely replaced legacy DOM/CSS overlays with a custom, high-fidelity 2D Canvas renderer. Directly mirrors libass geometry, margins, line wrapping, and font metrics for guaranteed 1:1 pixel parity between player preview and the final exported video.
• Embedded Local HTTP Streaming Server: Built-in ultra-lightweight loopback server (127.0.0.1 with ephemeral security tokens) supporting RFC 7233 byte-range and suffix requests. Delivers instantaneous frame-accurate scrubbing, freeze-frame inspection, and zero playback lag even with high-bitrate 4K media.
• Dynamic Hardware Codec Probing: Probes hardware accelerators (NVIDIA NVENC, Intel QSV, Apple VideoToolbox, Linux VA-API, and CPU) alongside individual video codecs (H.264, HEVC, AV1, ProRes) via fast parallel one-frame validation passes before listing, dynamically narrowing dropdown choices to verified codecs.
• Structured FFmpeg Diagnostics & Error Classification: Classifies FFmpeg encoder failures into 8 structured categories in the Rust backend, delivering actionable, localized recovery guidance rather than raw terminal stack traces.
• Safe In-App Fullscreen: Eliminated WebKitGTK full-viewport crashes in Linux AppImage environments by synchronizing in-app player controls with native window fullscreen states without DOM reparenting.
• Granular Media Reset & Concurrency Guards: Added dedicated Clear buttons on video/subtitle dropzones and a master "Reset All" action, backed by generation counters and serial guards to cleanly isolate and cancel in-flight preview decoding tasks.
• Companion Subtitle Auto-Detection: Automatically discovers matching subtitle files (.srt, .vtt, .ass, including language-tagged variants) when loading videos, with intelligent fallback to preserve user selections.
• Typography Polish & Style Toggles: Full support for Bold and Italic toggles in preview and ASS export, static Montserrat 400 Regular font bundling, dynamic background box padding based on typographic metrics (textAscent/textDescent), and rounded-corner bounding boxes.
• Native RTL Text Shaping & Punctuation Anchoring: Engine-level bidirectional run layout (hardsubLayout.ts) and Unicode RLM (\u200F) punctuation anchoring — Persian, Arabic, and Hebrew subtitles never suffer from flipped punctuation marks, reversed parentheses, or broken glyph connections.
• Linux AppImage Media Stabilization: Resolved GStreamer ALSA/PipeWire latency conflicts via alsasink ranking and PULSE_LATENCY_MSEC=60, enabled TCP_NODELAY on streaming sockets to eradicate Nagle Delayed-ACK stalls, eliminated plugin scan stalls with background registry warmup, and sanitized LD_LIBRARY_PATH against host library poisoning.
• Live FFmpeg Command Inspection: Full transparency into the encoding pipeline with an instant one-click copyable FFmpeg command string.

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🌐 Standalone AI Subtitle Translation Studio

• Independent Dual-Pane Workspace: Dedicated bilingual translation environment featuring side-by-side cue cards, real-time driver-locked synchronized scrolling (zero lag even on 10,000+ cue files), and inline caption editing.
• Content-Aware Bidirectional Card Layout: Independent, per-column text direction analysis (textDirection.ts). Translating between RTL (Persian/Arabic) and LTR (English/French) renders both panes with native typographical alignment without interface clipping or reversed alignment.
• Universal Parameter Negotiation: Seamlessly communicates with OpenAI, Anthropic Claude, Google Gemini, DeepSeek, Groq, and local OpenAI-compatible endpoints (Ollama, LM Studio, vLLM). Automatically adapts parameter payloads (e.g. mapping max_tokens vs max_completion_tokens, stripping unsupported temperatures).
• Cognitive Tag Stripping: Automatically parses and strips <think>, <thought>, and <reasoning> thinking blocks from next-gen reasoning models (DeepSeek-R1, QwQ, Claude thinking) before passing text to line and timestamp alignment.
• Crash-Resilient Atomic Checkpoints: Translates in SHA-256 fingerprinted transactional blocks. If interrupted, translations resume right where they stopped without corrupting files or consuming duplicate API tokens.
• OS-Level Keyring Security: Sensitive API keys are securely stored in your operating system's native keychain (Linux Secret Service / KWallet, Windows Credential Manager, macOS Keychain) — never written to plaintext config files.
• Pure Subtitle Text Export: One-click clipboard copying of clean translated subtitle text without timestamps or line index clutter.
• Direct Studio Handoff: Pass a finished translation directly into Studio Hardsub with a single click — companion video files are linked automatically.
• 122 Target Languages & Polish Pass: Instant-searchable language catalog with native-script names, dynamic reasoning effort parameter negotiation, and an optional second-pass rewriter tuned for natural subtitle cadence and rhythm.

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🤖 Intelligent Hardware-Aware Model Hub

• 5-Role Hardware Recommendation Engine: Automatically inspects physical CPU core counts, system RAM, and GPU architecture (distinguishing discrete AMD RX/Pro from APUs, Intel Arc from integrated Iris Xe, NVIDIA CUDA, and Apple Metal) to map your hardware to 5 distinct operational profiles:
  1. Balanced Daily Driver: Optimal equilibrium between processing speed and linguistic accuracy for everyday workflows.
  2. Studio Quality: Maximum semantic precision and acoustic noise resilience for challenging audio recordings.
  3. Ultra-Fast: Near-instantaneous transcription with ultra-low memory footprints.
  4. English Specialist: Dedicated English-only architecture delivering 10–15% higher precision on English audio.
  5. Efficient Quantized: Compressed integer models slashing RAM and battery usage by 40–60%.
• Expanded GGML & VAD Catalog: 34 Whisper models (Tiny, Base, Small, Medium, Large-v1/v2/v3, large-v3-turbo, .en variants, and q5_0/q5_1/q8_0 quantizations) + 2 Silero VAD releases (v5.1.2 & v6.2.0).
• Speaker Diarization (small.en-tdrz): Built-in catalog support for tinydiarize models enabling native speaker turn detection without external Python pipelines.
• High-Throughput Async Rust Downloader: Completely replaced curl with a streaming Rust pipeline featuring live progress, speed metrics, ETA, pause/resume capability, and strict SHA-256 checksum verification.
• Pinned Segmented Filter Bar & Specifications: Responsive layout with quick category filters, detailed precision ratings, and automatic detection of existing ~/whisper.cpp/models folders.

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⚡ Transcription Studio & Core Refinements

• Direct Instant Landing View: Removed the redundan...

Whisper Desktop v2.3.0

🚀 Whisper Desktop v2.3.0

v2.3.0 is officially live! A major release featuring complete UI/UX modernizations, hybrid TypeScript architecture, real-time downloader telemetry, and an upgraded AI translation engine.

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🌟 What's New in This Release?

🎛️ 1. UI Modernization & Top-Layer Portal Dropdowns

• Top-Layer Dropdown Menus: Select menus now render seamlessly in the top layer, completely eliminating dropdown clipping across all overflow boundaries and scroll containers.
• Unified Batch Processing Queue: The multi-file batch queue has been redesigned into a cohesive glassmorphic panel featuring an integrated header bar, live file count badges, and aligned action controls.
• Refined Visual Affordance: Improved card hover behavior across all views—eliminating white flashes on static layout containers while preserving soft accent highlights on interactive controls.
• Interactive Toast Notifications: Enhanced system notifications with animated progress countdowns, hover-to-pause interactions, and quick close controls.

📥 2. Real-Time Model Downloader & Telemetry

• Event-Driven Progress Streaming: Download progress updates dynamically in real time without refreshing the page or interrupting navigation across other tabs.
• Standardized Mbps Telemetry: Download speeds are now calculated and displayed in standard Megabits per second (Mbps).
• Smart ETA Calculations: Estimated completion times exceeding 60 minutes automatically format into clean hours, minutes, and seconds.
• Smoother Speed Accuracy: Baseline file tracking eliminates initial speed spikes when resuming partial downloads.
• Clean Pause & Resume: Pausing an active download is tracked gracefully without generating false error notifications.

🌐 3. Multi-Language AI Subtitle Translation Suite

• 40+ World Languages Support: Expanded translation support for over 40 global languages.
• Sliding Context Window: Keeps conversational context intact across long media subtitle segments to ensure natural, narrative dialogue.
• High-Fidelity Dialogue Prompting: Subtitle translations preserve speaker formatting, punctuation, line numbers, and exact pronoun fidelity.
• Real-Time Chunk Progress: Stream line-by-line translation progress directly inside the interface as AI processing occurs.

⚡ 4. Modern TypeScript & Vite Toolchain

• Hybrid TypeScript Support: The frontend build system now supports TypeScript, enabling modern, strongly typed module development alongside existing JavaScript components.
• Blazing Fast Build Performance: Integrated Vite tooling for near-instant development updates and optimized production builds.

🛠️ 5. Engine Reliability & Diagnostics

• Stabilized Output Monitoring: Improved stdout reader stability during active transcription sessions.
• Automatic Silero VAD Synchronization: Automated state alignment between Voice Activity Detection settings and command-line execution parameters.

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📜 Full Commit Log

• be78b13 chore(release): bump version to v2.3.0
• 4447bfb feat(infra): configure typescript and vite hybrid environment for future module development
• 5d317e7 feat(dashboard & downloader): update dashboard feature highlights, refactor model downloader events, and fix pause/speed telemetry
• e115982 fix(ui): refactor batch queue card layout and implement top-layer portal positioning for custom selects
• eec30be style(ui): eliminate noisy white card hovers and standardize affordance across components
• 6ed6eb4 style(ui): redesign models storage directory field into responsive read-only path control
• 14b4b57 feat(translation): expand target languages list to support 40+ major languages
• b092a70 fix(translation): balance system prompt for complete fidelity and natural spoken dialogue
• d23433a feat(translation): emit per-chunk progress events and cap chunk size at 30 items
• 301e34c fix(transcribe): prevent premature stdout reader loop termination and fix misleading abort notification
• 277a77e feat(translation): implement sliding context window and conversational subtitle prompt optimization
• c1b44dd feat(ui): upgrade toast notifications with longer durations, progress bar countdown, hover-pause, and close button

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📥 Getting Started

Download the package corresponding to your Linux distribution from the Assets section below:

• Ubuntu/Debian: .deb
• Fedora/RedHat: .rpm
• Portable Linux: .AppImage

Arch Linux (AUR):
Arch Linux users can install the application directly from the AUR:

paru -S whisper-desktop-bin

(or using your preferred AUR helper like yay)

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Enjoy high-performance, private, and offline speech-to-text transcription! 🎙️✨

Full Changelog: v2.2.0...v2.3.0

Whisper Desktop v2.2.0

🚀 Whisper Desktop v2.2.0 - Standalone Linux Packaging, Wayland Support, and Smart Model Hub

Welcome to Whisper Desktop v2.2.0! This major release focuses on enhancing the local user experience on Linux (Wayland & X11), making installation completely dependency-free, and introducing smart, flexible model directory scanning.

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📦 Key Features & Improvements

⚡ 1. Precompiled & Bundled Acceleration Backends (No Local Builds!)

• Zero Compilation Required: All four high-performance computation backends (Standard CPU, Vulkan GPU, OpenVINO Intel, and NVIDIA CUDA) are now precompiled automatically on our GitHub Actions pipeline and bundled directly inside the installer resources.
• Static Linking Fix: Resolved the runtime dynamic linker error (exit code 127: libwhisper.so.1 cannot open shared object file) by statically compiling the whisper.cpp core engine. Whisper Desktop is now a completely self-contained application on Linux!

🎨 2. Wayland & X11 Taskbar Integration

• Wayland Taskbar Matching: Configured the native GTK application ID mapping, enabling flawless window grouping and app icon rendering on modern Wayland compositors (such as Hyprland, GNOME, and KDE).
• X11 Launcher Mapping: Configured StartupWMClass matching in the desktop file template to fix dock grouping on X11 environments.

📂 3. Smart Recursive Model Scanning

• No Subfolder Restrictions: Removed the hardcoded models/ subfolder requirement. You can now store your model files directly in the root of your custom Models Storage Directory.
• Recursive Detection: The scanner now traverses the selected folder recursively to find model files, while ignoring hidden (.git), dependency (node_modules), and build (target, build) directories to maintain lightning-fast UI performance.
• Legacy Backward Compatibility: Seamlessly checks, downloads, tracks, and deletes existing models located in old models/ subfolders so your existing setup won't be disrupted.

🛠️ 4. Cross-Platform Stability & UI Polish

• Windows Path Parsing: Integrated a new cross-platform path parsing utility to avoid file matching bugs under Windows environments.
• Cleaner Configuration UI: Removed misleading code badge labels (selectedBackend and modelsDir) and simplified descriptions to make options easier to read.

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📥 Getting Started

Download the package corresponding to your Linux distribution from the Assets section below:

• Ubuntu/Debian: .deb
• Fedora/RedHat: .rpm
• Portable Linux: .AppImage

Arch Linux (AUR):
Arch Linux users can install the application directly from the AUR:

paru -S whisper-desktop-bin

(or using your preferred AUR helper like yay)

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Enjoy high-performance, private, and offline speech-to-text transcription! 🎙️✨

Whisper Desktop v2.0.0

Whisper Desktop v2.0.0

A ground-up redesign plus AI translation!

🤖 AI Translation — The headline feature

Translate your transcriptions through OpenAI, Anthropic, Gemini, or any OpenAI-compatible provider. Manage multiple providers with keyring-backed API keys, configure per-provider models with reasoning levels (None/Low/Medium/High), and let the system auto-detect context windows and recover from token-limit errors automatically. Original subtitle formatting (SRT, VTT, LRC, TXT) is preserved throughout. Preview lines before translating, and cancel mid-request with immediate HTTP abort.

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🚀 Other Major Features

Premium UI Overhaul

• Complete glassmorphic redesign with royal-blue gradient accents
• Collapsible sidebar with staggered stagger animations
• 3-step wizard for transcription flow with auto-convert
• Custom-styled dropdowns, toggles, radio buttons, scrollbars throughout
• Responsive layout stacking for small viewports
• Disabled context menu on non-input elements

Voice Activity Detection (VAD)

• Built-in Silero VAD model download and auto-usage
• Configurable threshold, speech tolerance, minimum segment duration
• Reduces processing time on silent sections

Model Hub Enhancements

• Integrated model downloader with pause/resume/delete
• Real-time speed, ETA, and progress tracking
• Search and category filtering
• Spec-guided recommendations based on GPU/hardware

Batch Processing

• Batch queue with drag reordering and sort controls
• Sequential per-file progress with detailed status
• Error dialogs for per-file retry/skip/abort

🛠️ Engineering & Hardening

• 35+ correctness fixes across Rust backend and JS frontend
• Replaced all .unwrap() with .expect() on regex/path invariants
• XSS hardening — DOM builder pattern replacing innerHTML with textContent
• Tauri event listener lifecycle management with scoped cleanup
• TDZ fixes for timer/handler/state declarations
• IPC rate limiter removed (caused log line drops during FFmpeg bursts)
• Sequential batch probing (fixed parallel race condition)
• Error notifications for settings load/save failures
• Strip ANSI codes from log output
• Null-safety guard for non-string inputs

📦 Downloads

Assets below — .deb, .rpm, and .AppImage for Linux.
Enjoy local, private speech-to-text transcription!

Full Changelog: v1.0.1...v2.0.0

Whisper Desktop v1.0.1

Release Notes (v1.0.1)

Whisper Desktop v1.0.1 focuses on major Linux compatibility fixes, specifically addressing graphics, sandboxing, and library dependency conflicts when running the AppImage bundle on various distributions.

🚀 What's New & Fixed

🐛 Linux & AppImage Compatibility Fixes

• Resolved Graphics Initialization Crash (EGL_BAD_PARAMETER): Switched to a post-build purging script that extracts the generated AppImage and purges conflicting system graphics/Wayland libraries (libEGL, libGL, libgbm, libglapi, libwayland-client). This forces the WebKit webview to use the host's native GPU drivers.
• Fixed WebKit subprocess ICU Crashes (libicudata.so.74 not found): Enabled bundling of system ICU v74 libraries inside the AppImage target and dynamically configured LD_LIBRARY_PATH inside the backend entrypoint to resolve them at runtime.
• Eliminated GLIBC Mismatches (GLIBC_PRIVATE symbol errors): Reverted from the experimental truly-portable Tauri CLI to the standard stable Tauri CLI compiler, ensuring system base libraries (libc.so.6) are loaded from the host OS.
• Disabled WebKit Sandboxing inside AppImage: Programmatically set WEBKIT_DISABLE_SANDBOX=1 inside main.rs when executed as an AppImage to allow helper processes (WebKitNetworkProcess / WebKitWebProcess) to spawn successfully.
• CI/CD Pipeline Robustness: Updated the release runner to resolve FUSE permissions on virtualized environments by extracting appimagetool and running it in a FUSE-free mode. Wrapped path variables in double quotes to prevent spacing errors during packaging.

📚 Documentation & Packaging

• Updated README.md with instructions on installing Whisper Desktop directly on Arch Linux via the AUR package (paru -S whisper-desktop-bin).
• Standardized release filenames and paths in the documentation.

Full Changelog: v1.0.0...v1.0.1

Whisper Desktop v1.0.0

🎙️ Whisper Desktop v1.0.0 - Initial Release

Welcome to the initial release of Whisper Desktop! This is a premium, state-of-the-art, and gorgeous native GUI for running high-performance local speech-to-text models using whisper.cpp.

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✨ Key Features in this Release

• ⚡ Hardware Acceleration Backends: Choose between CPU, Vulkan, OpenVINO, or CUDA directly from the UI to maximize transcription speed.
• 📂 Sequential Batch Queue: Load multiple audio/video files, see total queue specs, and transcribe them one by one.
• 🎤 Live Microphone Recording: Record audio in real-time with responsive custom wave visualizations.
• 🎞️ Media Converter: Seamlessly extract high-quality audio tracks from video files using integrated utilities.
• 🎨 Cyber-Neon Glassmorphic UI: A dark-mode design with fluid micro-animations and intuitive layout states.
• 🔒 100% Local & Private: No external API requests, no cloud uploads. Your data stays completely on your machine.

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📦 Installation

Choose the package matching your Linux distribution from the Assets section below:

• Debian/Ubuntu: Download the .deb file and install with sudo dpkg -i.
• Fedora/RedHat: Download the .rpm file and install with sudo dnf install.
• Universal Linux: Download the .AppImage file, make it executable (chmod +x), and run.