This is the Windows app named Handy STT whose latest release can be downloaded as Handy_aarch64.app.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Handy STT with OnWorks for free.
Ikuti petunjuk ini untuk menjalankan aplikasi ini:
- 1. Download aplikasi ini di PC Anda.
- 2. Masuk ke file manager kami https://www.onworks.net/myfiles.php?username=XXXXX dengan username yang anda inginkan.
- 3. Upload aplikasi ini di filemanager tersebut.
- 4. Mulai emulator online OS OnWorks apa pun dari situs web ini, tetapi emulator online Windows yang lebih baik.
- 5. Dari OS Windows OnWorks yang baru saja Anda mulai, buka file manager kami https://www.onworks.net/myfiles.php?username=XXXXX dengan nama pengguna yang Anda inginkan.
- 6. Unduh aplikasi dan instal.
- 7. Unduh Wine dari repositori perangkat lunak distribusi Linux Anda. Setelah terinstal, Anda kemudian dapat mengklik dua kali aplikasi untuk menjalankannya dengan Wine. Anda juga dapat mencoba PlayOnLinux, antarmuka mewah di atas Wine yang akan membantu Anda menginstal program dan game Windows populer.
Wine adalah cara untuk menjalankan perangkat lunak Windows di Linux, tetapi tidak memerlukan Windows. Wine adalah lapisan kompatibilitas Windows sumber terbuka yang dapat menjalankan program Windows secara langsung di desktop Linux apa pun. Pada dasarnya, Wine mencoba untuk mengimplementasikan kembali Windows dari awal sehingga dapat menjalankan semua aplikasi Windows tersebut tanpa benar-benar membutuhkan Windows.
Tangkapan layar
Ad
STT Praktis
DESKRIPSI
Handy is a free, open-source, offline speech-to-text application built for privacy, accessibility, and extensibility. Developed using Tauri (Rust + React/TypeScript), it runs natively across Windows, macOS, and Linux while performing local speech recognition without sending any audio to cloud servers. Handy allows users to start transcription instantly using a configurable keyboard shortcut—press to record, release to transcribe—and automatically pastes the resulting text into any active text field. Its backend leverages OpenAI’s Whisper models for GPU-accelerated speech recognition and Parakeet V3 for efficient CPU-only transcription with automatic language detection. To further refine accuracy and responsiveness, Handy integrates Silero’s Voice Activity Detection (VAD) for silence filtering, ensuring only speech segments are processed.
Fitur
- Fully offline speech-to-text transcription with Whisper and Parakeet models
- Privacy-first design with no cloud processing or data collection
- Cross-platform support for Windows, macOS (including Apple Silicon), and Linux
- Configurable hotkey system for instant push-to-talk or toggle recording modes
- Built with Tauri (Rust + React) for performance, extensibility, and low resource use
- Integrated Voice Activity Detection for efficient, real-time audio filtering
Bahasa Pemrograman
TypeScript
KATEGORI
This is an application that can also be fetched from https://sourceforge.net/projects/cjpais-handy.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
