faster-whisper vs Buzz

	faster-whisper Fast local speech-to-text for your own apps. Visit	Buzz Transcribe and caption audio offline on your computer. Visit
Votes	0	0
Pricing	Free	Free
Category	Transcription	Transcription
Tags	practical-ossopen-sourceself-hostedtranscription	practical-ossopen-sourceself-hostedtranscription
Best for	—	—
Pros	Up to ~4x faster than openai/whisper at the same accuracy, using less memory 8-bit quantization cuts memory further and runs well on CPU or GPU Word-level timestamps, batched transcription, and built-in VAD silence filtering Models download automatically from Hugging Face in CTranslate2 format Permissive MIT license and no system FFmpeg install needed (bundled via PyAV)	Runs fully offline on your own machine, keeping audio private Permissive MIT license Handles files, YouTube links, and live microphone transcription Exports to TXT, SRT, and VTT, with speaker identification and a watch-folder option Hardware acceleration via CUDA, Apple Silicon, and Vulkan for faster processing
Cons	It is a developer library with no GUI or end-user application GPU execution needs specific NVIDIA cuBLAS/cuDNN versions, a common setup snag Latest CTranslate2 supports only CUDA 12 / cuDNN 9, so older setups need downgrades Accuracy is capped by the underlying Whisper models and their known limitations	Accuracy and speed depend on the Whisper model size and your hardware; larger models need a capable GPU Whisper's translation feature outputs English, so it is not a general any-to-any translator Installers are unsigned, so Windows and macOS show security warnings on first run Intel Macs are no longer supported beyond an older release; current versions require Apple Silicon

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