faster-whisper vs Vosk
Both are alternatives to Deepgram. Here's how they stack up — verified facts, no spin.
Also searched as Vosk vs faster-whisper — same comparison, one verdict.
faster-whisper
TOP PICKWhisper, several times faster, on less memory. The practical default.
faster-whisper reimplements Whisper inference on CTranslate2, delivering roughly a four-fold speedup over the reference implementation with substantially lower memory use, and the same transcription output — these are the same weights, executed better. It supports int8 and float16 quantisation, batching, and word-level timestamps, and runs on both GPU and CPU. For most teams replacing a paid transcription API, this is simply the correct starting point.
Vosk
Real-time transcription on a CPU. Runs on a Raspberry Pi.
Vosk is a lightweight offline speech-recognition toolkit built for constrained environments — it runs in real time on a CPU, works on Android, iOS and single-board computers, and its models are tens of megabytes rather than gigabytes. It will not match Whisper on accuracy for difficult audio. It is the right answer when you need speech recognition on a device, offline, with no GPU and no network, which is a requirement no managed API can satisfy at any price. Apache-2.0.
Side by side
| faster-whisper | Vosk | |
|---|---|---|
| Sovereignty Score | 95 | 95 |
| Open source | Yes | Yes |
| Self-hostable | Yes | Yes |
| Local-first | Yes | Yes |
| License | MIT | Apache-2.0 |
| Pricing | Free. Hardware you already own; a laptop handles the smaller models. | Free, Apache-2.0. |
faster-whisper is Macrostack's recommended Deepgram alternative, so it's our pick here.
faster-whisper
Strengths
- +Several times faster than reference Whisper at equal accuracy
- +Quantisation options let large models fit modest GPUs
- +Runs on CPU when no GPU is available
- +MIT licensed, no per-minute cost, nothing leaves your machine
Trade-offs
- −Batch-oriented; streaming needs extra work to do well
- −Diarization is not included — pair with WhisperX or pyannote
- −Accuracy varies by language more than the managed services do
Vosk
Strengths
- +Real-time on CPU — no GPU required at all
- +Tiny models; runs on phones and single-board computers
- +Fully offline, which some products require by law
- +Around twenty languages supported
Trade-offs
- −Noticeably less accurate than Whisper on hard audio
- −Smaller language coverage
- −No built-in diarization
Related alternative guides
Facts verified 2026-08-11. Licenses and pricing change — spotted something out of date? That's a correction we want.