faster-whisper
A faster, open-source implementation of speech-to-text transcription
- Also known as
- faster-whisper
Available worldwide
What is faster-whisper?
A high-performance implementation of OpenAI's Whisper for converting speech to text, with features for word-level timing and offline processing.
faster-whisper pricing
We don't have faster-whisper's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
What faster-whisper does
The capabilities that matter for speech to text, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Real time streaming
- ✓
- Speaker diarization
- ✓
- Custom vocabulary
- -
- Fine tuning
- ✓
- Word timestamps
- ✓
- Punctuation formatting
- -
- Pii redaction
- -
- Vertical model
- -
- Offline on device
- ✓
- Open source
- ✓
Platform & deployment
Independently observed- CLI
- macOS
- Linux
- Windows
- On-premise
- Air-gapped
- Self-hosted
Integrations (15)
Independently observed- OpenAI API
- OpenAI SDK
- OpenAI CLI
- HomeAssistant
- Konele
- Docker
- AzureML
- FastAPI
- OpenAI SDKs/CLI
- pyannote.audio
- pyannote.ai
- OpenAI SDK/CLI
- Azure ML
- Transformers library
- OpenAI•
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
faster-whisper FAQ
Common questions about faster-whisper, answered from independent, dated evidence.
What is faster-whisper?
An open-source implementation of speech recognition that accelerates transcription using optimized machine learning inference, with support for multiple platforms and container deployment. It is indexed under Speech To Text.
Source: https://github.com/pricing
Is faster-whisper free to use?
faster-whisper is open source, so it can be self-hosted and used at no licence cost. It is released under the MIT licence. Pricing changes often, so verify at source before relying on it.
Source: https://github.com/pricing
What platforms does faster-whisper support?
faster-whisper supports Windows, macOS, Linux and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Source: https://github.com/pricing
Can faster-whisper be self-hosted?
Yes. faster-whisper can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://github.com/pricing
What does faster-whisper integrate with?
We have confirmed 8 integrations for faster-whisper, including OpenAI API, OpenAI SDK, OpenAI CLI, HomeAssistant, Konele, Docker, AzureML and FastAPI. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://github.com/pricing
Is faster-whisper open source?
Yes. faster-whisper is published under the MIT licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
faster-whisper alternatives
Other speech to text we track, ranked by the same independent score.
- AssemblyAIAPI platform for converting audio to text and building voice-powered applicationsmedium · 73%
- SpeechmaticsSpeech recognition API for voice-driven applications and AI assistantsmedium · 54%
- Deepgrammedium · 55%
- whisper.cppRun speech transcription offline on any hardwarelow · 34%
- Amazon TranscribeConvert spoken audio and video into text using cloud-based automatic speech recognitionlow · 45%
- VoskOpen-source offline speech recognition toolkit for mobile devices and serverslow · 39%
Compare faster-whisper
Side by side against other speech to text, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for faster-whisper, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Release cadence | 85 | 0.08 | 6.9 | ✓ |
| Capabilities | 81 | 0.08 | 6.5 | ✓ |
| Stars | 83 | 0.05 | 3.9 | ✓ |
| Development activity | 28 | 0.14 | 3.8 | ✓ |
| Dependent projects | 26 | 0.05 | 1.4 | ✓ |
| Integrations | 22 | 0.05 | 1.2 | ✓ |
| Security posture | 0 | 0.12 | 0.0 | - |
| Package downloads | 0 | 0.04 | 0.0 | - |
| Security score | 0 | 0.05 | 0.0 | - |
| Developer Q&A activity | 0 | 0.14 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 7 | mediumsource · 2026-10-15 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 6 items | mediumsource · 2026-09-10 · 66% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Fine tuning, Open source, Word timestamps, Offline on device, Real time streaming, Speaker diarization | mediumsource · 2026-10-15 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 5 | mediumsource · 2026-09-14 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-10-15 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | MIT | highsource · 2026-10-15 · 95% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-09-14 · 75% |
Pricing
Release
Security
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