TranscriptionSuite Runs Speech-to-Text Offline

Want to transcribe audio without sending it to a cloud service? TranscriptionSuite is a local desktop app that keeps the whole process on your machine. It is built for developers who want speech-to-text without outsourcing the work.

Everything runs locally, so your recordings and transcripts never leave your computer. You can even work offline after the first app and model downloads.

What Happened

TranscriptionSuite is an open-source, local speech-to-text desktop app for developers. It manages transcription entirely on your machine through a desktop dashboard tied to a locally managed engine.

• Local-first processing — audio and transcripts stay on your machine; you can work offline after the initial downloads.
• Record or import — capture from microphone or system audio, bring in audio and video files, and export to .txt, .srt, or .ass.
• Speaker labels — supports diarization with multiple model paths so transcripts identify who said what.
• Multiple backends — supports Whisper, NeMo, VibeVoice-ASR, SenseVoice, whisper.cpp, and MLX options.
• Hardware-aware setup — supports CUDA, Apple Metal, Vulkan, and CPU paths on Windows, macOS, and Linux.

The project is open-source under the GPL-3.0 license.

Why It Matters

For developers who care about privacy and data control, this is a real alternative to cloud transcription. The app gives you offline capability, hardware flexibility, and multi-backend support in a single open-source tool. It is a solid option for anyone who wants to keep their audio local.