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Runpod
runpod.io › home › articles › guides › running whisper with a ui in docker: a beginner’s guide
Running Whisper with a UI in Docker: A Beginner’s Guide
This article will walk you through setting up Whisper with a UI in Docker, deploying it on Runpod’s cloud GPU containers, and enhancing it for real-world applications.
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Docker
hub.docker.com › r › linuxserver › faster-whisper
linuxserver/faster-whisper - Docker Image
© 2025 Docker, Inc. All rights reserved. | Terms of Service | Subscription Service Agreement | Privacy | Legal
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Reddit
reddit.com › r/openai › whisper docker container
r/OpenAI on Reddit: Whisper docker container
April 25, 2023 -

So there wasn't a solution out that would allow you to submit your audio/video files to a dockerized flask app and have your subtitle files etc generated as if you were using whisper via the command line... so I made one. Go check it out here jlonge4/whisperAI-flask-docker: I built this project because there was no user friendly way to upload a file to a dockerized flask web form and have whisper do its thing via CLI in the background. Now there is. Enjoy! (github.com)

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Docker Hub
hub.docker.com › r › onerahmet › openai-whisper-asr-webservice
onerahmet/openai-whisper-asr-webservice - Docker Image
openai-whisper-asr-webservice · © 2025 Docker, Inc. All rights reserved. | Terms of Service | Subscription Service Agreement | Privacy | Legal
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Medium
learningdevops.medium.com › step-by-step-guide-to-building-a-dockerfile-for-deploying-openai-whisper-models-with-dynamic-model-7bfa8ba95cd7
Step-by-Step Guide to Building a Dockerfile for Deploying OpenAI Whisper Models with Dynamic Model Selection | by Ravi Pandit | Medium
November 13, 2024 - By containerizing Whisper, you eliminate compatibility issues, as dependencies are encapsulated within the Docker image, making the setup consistent across different environments.
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LinuxServer.io
docs.linuxserver.io › images › docker-faster-whisper
faster-whisper - LinuxServer.io
To help you get started creating a container from this image you can either use docker-compose or the docker cli. ... Unless a parameter is flaged as 'optional', it is mandatory and a value must be provided. --- services: faster-whisper: image: lscr.io/linuxserver/faster-whisper:latest ...
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GitHub
github.com › linuxserver › docker-faster-whisper
GitHub - linuxserver/docker-faster-whisper
To help you get started creating a container from this image you can either use docker-compose or the docker cli. ... Unless a parameter is flaged as 'optional', it is mandatory and a value must be provided.
Starred by 203 users
Forked by 15 users
Languages   Dockerfile
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LabLab
lablab.ai › t › whisper-api-flask-docker
Creating OpenAI Whisper API in a Docker Container tutorial
It's your turn to build something that matters. If you're serious about AI, you're in the right place - the community where developers and founders ship AI products through world-class hackathons.
Find elsewhere
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Karthik
karthikziffer.github.io › journal › dockerize-whisper-model.html
Dockerize whisper model | Karthik
April 13, 2024 - faster-whisper==0.10.0 torch==2.0.0 torchvision==0.15.1 torchaudio==2.0.1 uvicorn==0.27.1 pydantic==2.6.0 Levenshtein==0.24.0 fastapi==0.109.2 pandas==2.0.3 transformers==4.32.1 setuptools>=65 soundfile==0.12.1 nltk · FROM continuumio/anaconda3 WORKDIR /usr/src/app RUN apt-get update && apt-get --yes install libsndfile1 && apt-get --yes install ffmpeg RUN conda create --name whisperx ENV PATH /opt/conda/envs/whisperx/bin:$PATH SHELL ["conda", "run", "-n", "whisperx", "/bin/bash", "-c"] RUN conda install python=3.10 RUN conda install pip COPY requirements.txt ./ RUN pip install --no-cache-dir -r requirements.txt RUN pip install git+https://github.com/m-bain/whisperx.git
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GitHub
github.com › ahmetoner › whisper-asr-webservice
GitHub - ahmetoner/whisper-asr-webservice: OpenAI Whisper ASR Webservice API
docker run -d -p 9000:9000 \ -v $PWD/cache:/root/.cache/ \ onerahmet/openai-whisper-asr-webservice:latest · Multiple ASR engines support (OpenAI Whisper, Faster Whisper, WhisperX) Multiple output formats (text, JSON, VTT, SRT, TSV) ... # Install poetry v2.X pip3 install poetry # Install ...
Starred by 3.1K users
Forked by 546 users
Languages   Python 96.8% | Dockerfile 3.2%
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Medium
egemengulpinar.medium.com › running-whisper-large-v3-on-docker-with-gpu-support-e8a5b5daabf9
Running OpenAI Whisper Model on Docker with GPU Support | by Egemen Gulpinar | Medium
August 28, 2024 - Hi fellows, in this article I have ... run the Whisper Large v3 Speech-to-Text(STT) model on a Docker container with GPU support. This guideline helps you to deploy your other deep learning models as well. Please follow each step carefully. Here we go! Let’s start with check CUDA drivers and toolkits are installed ...
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Home Assistant
community.home-assistant.io › installation
How to manually install Piper and whisper on Home Assistant core - Installation - Home Assistant Community
October 29, 2023 - Docker Install Pull the container,change path to your path and run it. Rename containers to something like wyoming-piper and wyomin-whisper and add wyoming integration. For host I selected localhost and for port 10200 and 10300 and that was it.
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GitHub
github.com › openai › whisper › discussions › 132
Docker Image for Webservice API · openai/whisper · Discussion #132
This happened when using this command line docker run -d --gpus all -p 9000:9000 -e ASR_MODEL=base onerahmet/openai-whisper-asr-webservice:latest-gpu · Read something about installing nvidia tools, but I can find anything about about how installing them to expose GPU on windows
Author   openai
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GitHub
github.com › karaage0703 › whisper-docker
GitHub - karaage0703/whisper-docker: whisper with docker
Install Docker. $ git clone https://github.com/karaage0703/whisper-docker $ cd whisper-docker $ docker build -t whisper .
Starred by 19 users
Forked by 6 users
Languages   Python 93.5% | Dockerfile 6.5%
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Reddit
reddit.com › r/homeassistant › using whisper in docker
r/homeassistant on Reddit: using whisper in docker
July 7, 2023 -

Hey,

So I am playing around with voice assistant, and wanted to set it up locally. I set up whisper and piper as below:

  whisper:
    container_name: whisper
    image: rhasspy/wyoming-whisper
    #command: --model base-int8 --language fr
    command: --model tiny-int8 --language en
    privileged: true
    restart: unless-stopped
    environment:
      - TZ=Europe/London
    volumes:
      - /home/pi/docker/home-automation/whisper/data:/data
    ports:
      - 10300:10300

  piper:
    container_name: piper
    image: rhasspy/wyoming-piper
    command: --voice en-gb-southern_english_female-low
    privileged: true
    restart: unless-stopped
    environment:
      - TZ=Europe/London
    volumes:
      - /home/pi/docker/home-automation/piper/data:/data
    ports:
      - 10200:10200

I added assist_pipeline: to my config file.

When I try to add a voice assistant, faster-whisper is greyed out and piper isnt an option,

I have read that you need to configure the addon, but with docker installs there is no configure.

What am I missing?

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GitHub
github.com › jim60105 › docker-whisperX
GitHub - jim60105/docker-whisperX: Dockerfile for WhisperX: Automatic Speech Recognition with Word-Level Timestamps and Speaker Diarization (Dockerfile, CI image build and test)
This is the docker image for WhisperX: Automatic Speech Recognition with Word-Level Timestamps (and Speaker Diarization) from the community.
Starred by 404 users
Forked by 47 users
Languages   Dockerfile 76.6% | Python 14.4% | HCL 9.0%
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GitHub
github.com › ventz › whisper-openai-container
GitHub - ventz/whisper-openai-container: OpenAI Whisper Container (GPU and CPU) and Lambda (CPU) - speech recognition model
docker run -it --rm -d -p 9000:8080 --name whisper ventz/whisper
Starred by 60 users
Forked by 8 users
Languages   Shell 57.1% | Python 31.4% | Dockerfile 11.5%
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Vultr
docs.vultr.com › how-to-build-a-whisper-cpp-container-image
How to Build a Whisper.cpp Container Image - Docker
July 25, 2024 - Follow the steps below to build a Whisper.cpp container image compatible with NVIDIA GPU systems. Copy main-cuda.Dockerfile to the main project directory.