faster-whisper Hosting Live In 5 Minutes

Deploy faster-whisper hosting and run a self-hosted speech-to-text server for Home Assistant voice on a dedicated Cloud VPS. xCloud starts the pinned LinuxServer.io faster-whisper image on the CPU, downloads the speech model on first start, keeps it on a persistent volume and publishes the Wyoming port. There is no web page or login, so you restrict who can reach the port.

Deploy your faster-whisper

No terminal
No technical skills needed
No lock-in, cancel anytime

What is faster-whisper?

faster-whisper is a reimplementation of OpenAI's Whisper speech recognition model using CTranslate2, a fast inference engine for Transformer models. The LinuxServer.io container packages it as a Wyoming protocol server, which Home Assistant voice assistants and other Wyoming clients use to turn spoken audio into written text, an open-source engine you control. Run on your own server it is a self-hosted faster-whisper, an alternative to a cloud speech-to-text API such as Google Cloud Speech-to-Text, with the engine under the MIT licence.

On xCloud it is the community LinuxServer.io image lscr.io/linuxserver/faster-whisper v3.8.1-ls9, pinned by digest and running on the CPU. The faster_whisper_config volume caches the downloaded model. It has no web page, no OpenAI-style HTTP API and no authentication, so the published Wyoming port needs your firewall.

From Sign-Up to a Live faster-whisper In Just 3 Easy Steps

A faster-whisper server normally means the Wyoming-enabled image, a model download, a model cache volume, a published port and a firewall decision before the first transcription. This is the same result without assembling any of it.

Step 01
Sign Up
Create your xCloud account and pick faster-whisper from the OneClick catalog. Choose a server; the install form has no fields and there is no domain, because the service is a raw TCP port, not a website.
Step 02
We Deploy It For You
One click. We start lscr.io/linuxserver/faster-whisper v3.8.1-ls9, pinned by digest, on the CPU, mount faster_whisper_config at /config and publish container port 10300 on a host port. The model downloads first, taking two to five minutes.
Step 03
Connect Home Assistant And Lock The Port
In Home Assistant add the Wyoming Protocol integration and enter the server address and port shown. Then restrict that TCP port to your Home Assistant host in your firewall, because anyone who can reach it can send audio.

Everything faster-whisper Does, On Your Own Server

faster-whisper v3.8.1 runs here as a CPU Wyoming server, with its downloaded models kept on a volume you own.

Whisper Models, Faster
faster-whisper reimplements OpenAI's Whisper model on CTranslate2, a fast inference engine for Transformer models, per the image description.
Wyoming Protocol For Home Assistant
The container serves the Wyoming protocol, so Home Assistant voice assistants and other Wyoming clients can send audio and get transcripts.
No Web Page, No HTTP API
There is no browser interface and no OpenAI-compatible HTTP endpoint. Clients connect to the raw TCP port with Wyoming only.
CPU Models You Can Change
The model defaults to auto, which is base-int8 on amd64 and tiny-int8 on arm64, and you can set larger ones in the environment. Larger models need more memory and CPU.
Models Cached On A Volume
The speech model downloads from Hugging Face on first start and is cached on faster_whisper_config, so later starts skip the download.
A Public Port With No Login
The Wyoming port has no authentication and audio travels unencrypted. Firewall it to your own clients, or use a private network.

Everything You Need To Run Your Speech-To-Text 24/7

Managed hosting for faster-whisper, so the parts that keep it online are not your problem.

faster-whisper v3.8.1 deployed instantly
Image pinned by digest
Wyoming port published for you
Model cache on a persistent volume
CPU-only, no GPU needed
Server backups and snapshots
Server security updates included
Choose your server region
Unused balance refunded

What You Can Do With faster-whisper

Give Home Assistant a private voice-to-text engine
Point the Wyoming Protocol integration at this server so spoken commands are transcribed on a machine you control.
Run speech recognition without a cloud API
Transcribe audio from Wyoming clients on your own server instead of sending it to a hosted speech service.
Try larger Whisper models
Set a bigger model in the environment, accepting that it needs more memory and CPU, and compare accuracy on your own voice.
Share one engine between several clients
Let more than one Wyoming client use the same server, restricting the port to the addresses of those clients.

faster-whisper vs Alternatives

Google Cloud Speech-to-Text: faster-whisper is open-source engine software you run yourself, so audio from your Wyoming clients is transcribed on your own xCloud server rather than sent to a hosted API.
OpenAI Whisper API: faster-whisper reimplements OpenAI's Whisper model using CTranslate2 for you to run yourself, here with a Wyoming interface and no OpenAI-style HTTP API.
Speaches: This template serves faster-whisper over the Wyoming protocol only, with no HTTP endpoints, so choose by the client you need to connect.
Ollama: Ollama has its own OneClick page. faster-whisper does one job here: it transcribes speech streamed from Wyoming clients into text.

Simple Pricing. Everything Included.

Dedicated Cloud VPS sizes, pre-configured for faster-whisper hosting. Pick the one that fits, and resize any time.

Cloud VPS 6 GB

Cloud VPS 16 GB

Larger models and several clients on the same server.

$59.99per month

16 GB RAM
6 vCPU cores
200 GB NVMe SSD
30 TB
Unlimited

Get started

Every size is a dedicated Cloud VPS we provision, patch, monitor and restore. Billed monthly with no lock-in — delete the server and the unused balance comes back to your account. faster-whisper is MIT licensed, and the LinuxServer.io image repository is GPL-3.0.

Docker hosting

Already Have a Server? Bring Your Own

Connect any VPS — DigitalOcean, Vultr, Linode, AWS, Hetzner or bare metal — and deploy faster-whisper on it through the same panel, for a per-server management fee instead of a Cloud VPS rental.

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$4per server / month

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The same platform, discounted at 11+ servers.

$3per server / month

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Priced per connected server, so your rate adjusts automatically as you add or remove servers. You pay your own provider for the server itself.

Self-managed hosting

Ready To Run Your Own Speech-To-Text Server?

faster-whisper on xCloud runs on a dedicated Cloud VPS that we provision, patch, monitor and restore. Deploy faster. Own your data. Stay in control.

Fast Provisioning
Deploy faster using an xCloud Managed Server built with optimized stacks and high-speed SSDs.
Enterprise-grade security
Protect your infrastructure with a free SSL certificate and more advanced security features at no additional cost.
Intuitive Control Panel
From Server creation to application deployment, everything can be managed from our intuitive control panel.

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Frequently Asked Questions

Feel free to contact us with any questions or concerns you may have.

Can I run faster-whisper in Docker?

Yes, and this template is faster-whisper Docker hosting without the setup: the lscr.io/linuxserver/faster-whisper v3.8.1-ls9 image pinned by digest, CPU only, with a config volume and the Wyoming TCP port published. LinuxServer.io, not the engine's authors, publishes the image.

How much RAM does faster-whisper need?

The template minimum is 1 GB of RAM, 2 CPU cores and 5 GB of disk for the default model. Larger models such as small-int8 or medium-int8 are more accurate but need more memory and CPU. This page sells the 6 GB tier.

How do I connect Home Assistant to faster-whisper?

In Home Assistant add the Wyoming Protocol integration and enter the server address and port from the credentials. Any other Wyoming client connects the same way. Wait for the first start to finish, because the port opens only after the model loads.

Does faster-whisper have an OpenAI-compatible API?

No, not in this template. It serves the Wyoming protocol only and has no web page, so you cannot call a /v1/audio/transcriptions endpoint. Other projects built on faster-whisper add that API, but this install does not.

Is the faster-whisper port secure?

No. The Wyoming protocol has no authentication, so anyone who can reach the TCP port can send audio and receive transcripts and use your CPU, and audio is unencrypted. Restrict the port to your clients' addresses, or use a VPN.

Which Whisper model does faster-whisper use?

By default WHISPER_MODEL is auto: base-int8 on amd64 and tiny-int8 on arm64. You can set a larger one, the language and the beam size in the Environment editor, then redeploy to download the new model.

Is faster-whisper free?

Yes. faster-whisper is MIT-licensed, and the LinuxServer.io image repository is GPL-3.0, so the software itself costs nothing; only the Cloud VPS underneath is a recurring cost. The first start also needs outbound internet to download the model.

How do I back up faster-whisper?

Back up the faster_whisper_config volume only if you want to keep the downloaded models, because they can simply be downloaded again. There is no database and no user data to protect. Nothing schedules the copy, so run it yourself if you want one.

Backup and restore Docker apps

How do I upgrade faster-whisper?

Nothing upgrades itself: v3.8.1-ls9 is pinned by digest. To upgrade, back up the faster_whisper_config volume if you want to keep the models, read the LinuxServer.io release notes, then adopt a newer template version. Check that your clients reconnect.

Is this a faster-whisper cloud service?

It is faster-whisper on a dedicated Cloud VPS under your xCloud login, a faster-whisper cloud of your own that you reach by IP and port, with no domain or HTTPS. Setting LOCAL_ONLY, even to false, stops model downloads, so leave it unset.

Can I cancel anytime?

Yes. There is no lock-in — cancel any time. Hosting is billed monthly and charged for what you actually use, so when you delete the server the unused balance is refunded to your account, less up to 10% in payment-processing fees.