Faster-Whisper
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No lifecycle review is recorded for this listing. Its inclusion in the directory does not confirm current availability; check the vendor before relying on it.
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Faster-Whisper reimplements Whisper inference with CTranslate2, offering CPU/GPU quantization, batch transcription and optional word timestamps. No lifecycle review is recorded for this listing. Its inclusion in the directory does not confirm current availability; check the vendor before relying on it.
Product preview
Decision notes
Official-document research
Based on the cited documentation. We did not use the product, purchase a plan, or run quality, speed or reliability tests in this review.
Consider it for
- Developers tuning deployment and decoding settings
Choose another approach if
- A turnkey streaming meeting service
- Projects assuming benchmark speed on arbitrary hardware
Pricing and conditions
Documented terms
The published software license permits use without a license fee; this is self-managed software, not a hosted subscription or included API credits. CPU/GPU, memory, downloads, storage, electricity, engineering and any cloud services cost separately. No vendor per-minute bill was established; currency, tax and regional costs depend on the hardware/cloud/provider you choose.
Pricing source read:
Pricing or terms sourceCode, model and service licensing
Faster-Whisper code is MIT with notice retention and no warranty. The selected weights keep their own licenses: official Whisper weights are MIT, while distilled or third-party fine-tunes require separate checking. CTranslate2, PyAV/FFmpeg and other dependencies have their own obligations. Software permission does not clear recording, speaker or transcript rights or license a hosted API. Local execution and download support do not establish no logging or zero retention for a surrounding service.
Basis and limits of the recorded score
Original 4.7/5 retained; no original scoring worksheet or hands-on evidence was available. Documentation does not validate this score.
Overview
Faster-Whisper is a CTranslate2-based Whisper inference library. It documents CPU/GPU precision choices, batching, word timestamps and Silero speech filtering. Named models download from Hugging Face; local converted model directories are also supported. CUDA/cuDNN compatibility depends on the CTranslate2 version. Streaming servers listed in the README are separate integrations. Published speed/memory comparisons use particular models, hardware and decoding settings; they are not a universal four-times-speed or identical-accuracy guarantee.
Sources
The factual claims in this review were read from the pages below. Each date is when an editor last opened the source, not when the product changed.
- Vendor documentation Checked 2026-10-15
- Vendor documentation Checked 2026-10-15
- Vendor documentation Checked 2026-10-15
Pros / Cons
Pros
- Configurable precision and batching
- Word timestamps and VAD within the library
Cons
- Dependency and model compatibility need maintenance
- Streaming and diarization need additional integration
Who it's for
Batch transcription pipelines
ASR backends with local model control
Bottom line
Evaluate it with your chosen model, decoding settings and hardware before setting throughput or cost targets.
Key Features
Tags
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Frequently asked questions
Is Faster-Whisper currently available?
No lifecycle review is recorded for this listing. Its inclusion in the directory does not confirm current availability; check the vendor before relying on it.
What is Faster-Whisper?
Faster-Whisper is a Audio Generation tool developed by SYSTRAN. Faster-Whisper reimplements Whisper inference with CTranslate2, offering CPU/GPU quantization, batch transcription and optional word timestamps.
What costs and terms should I check for Faster-Whisper?
The published software license permits use without a license fee; this is self-managed software, not a hosted subscription or included API credits. CPU/GPU, memory, downloads, storage, electricity, engineering and any cloud services cost separately. No vendor per-minute bill was established; currency, tax and regional costs depend on the hardware/cloud/provider you choose.
Is Faster-Whisper open source?
Faster-Whisper code is MIT with notice retention and no warranty. The selected weights keep their own licenses: official Whisper weights are MIT, while distilled or third-party fine-tunes require separate checking. CTranslate2, PyAV/FFmpeg and other dependencies have their own obligations. Software permission does not clear recording, speaker or transcript rights or license a hosted API. Local execution and download support do not establish no logging or zero retention for a surrounding service.
What are the best alternatives to Faster-Whisper?
Notable Audio Generation alternatives include ElevenLabs, Suno, Udio. Browse all 51 tools in our Audio Generation category for a full overview.
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Basic Info
- Pricing
- Free
The published software license permits use without a license fee; this is self-managed software, not a hosted subscription or included API credits. CPU/GPU, memory, downloads, storage, electricity, engineering and any cloud services cost separately. No vendor per-minute bill was established; currency, tax and regional costs depend on the hardware/cloud/provider you choose.
- Editorial score
- ★ 4.7 / 5 How we score
- Platforms
- LibraryPython
- Last verified
- Not recorded
