

Tscribe
A fast, local AI transcription app for macOS that processes audio and video completely offline without cloud dependencies or subscriptions.
Cost / License
- Pay once
- Proprietary
Platforms
- Mac
Features
Properties
- Privacy focused
Features
- Audio-to-text
- Speech to text
Tscribe News & Activities
Recent activities
- dmytroUA rated Tscribe
- dmytroUA liked Tscribe
- POX updated Tscribe
- dmytroUA added Tscribe
dmytroUA added Tscribe as alternative to MacWhisper, Whisper, FluidVoice and TranscribeX
Tscribe information
What is Tscribe?
Tscribe is a privacy-first, offline speech-to-text application built exclusively for macOS. It allows you to convert any audio or video files into text directly on your Mac, ensuring that your data stays 100% secure, private, and local, with no data ever sent to the cloud.
The software is optimized for both Apple Silicon (M1/M2/M3/M4) and Intel-based Macs, utilizing minimal system resources (CPU and RAM) while delivering high-speed transcription. Tscribe supports over 99 languages with full Unicode and Cyrillic character support.
Free Trial & Evaluation: Tscribe features a transparent, commitment-free trial mode. Users can download the app and transcribe the first 30 seconds of any audio or video file completely free, forever. This allows for thorough testing of accuracy and hardware performance before purchasing a full license.
Key Features:
- 100% Local Processing: Complete data privacy with zero cloud or network dependencies.
- Performance Oriented: Built with Rust for lightweight, lightning-fast execution.
- Advanced Export Options: Instantly export transcriptions into SRT subtitles, TXT, RTF, or JSON formats.
- Drag-and-Drop Interface: Intuitive standby and processing views for quick multi-format file handling.
- Transparent Pricing: Available via a one-time purchase model for a lifetime license, entirely eliminating recurring subscription fees.
Supported Languages for Transcription: Fully tested and optimized for 12 major languages (including English, Ukrainian, German, Spanish, French, and others). The underlying model supports speech recognition for 99+ languages with full Unicode and Cyrillic character support.






