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Vibe project preview
Ai Machine LearningAlternative to TranscribeMeAlternative to Otter.aiAlternative to Rev.com

Vibe

Transcribe audio and generate subtitles completely offline with modern UI on desktop.

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LicenseMIT
GitHub stars4.5k
Last commit5 days ago
Tags5 topics
Ai Machine LearningSubtitle MakerWhisper Cpp GuiOffline Speech RecognitionAudio Transcriber App
Overview

Why consider Vibe?

Vibe is an open-source desktop speech-to-text transcription software. Built with Tauri and whisper.cpp, it delivers blazing fast offline speech recognition for podcasts, lecture videos, and interviews with zero cloud latency.

Guided learning

Learn Vibe by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of Vibe

Vibe provides a native desktop interface for ultra-fast whisper.cpp audio transcription on CPU and GPU.

Quickstart

  1. Download the native Vibe executable for Windows, macOS, or Linux.
  2. Drag and drop audio or video recordings.
  3. Select your target spoken language or enable automatic speech translation.
  4. Export synchronized subtitles (.srt) or verbatim text transcripts.

Vibe is licensed under the permissive MIT License.

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Vibe FAQs

Vibe is listed as a Ai Machine Learning tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Vibe is listed under the MIT license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Vibe is listed as an alternative to TranscribeMe. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.