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%
Docker Hub
hub.docker.com › r › thomasvvugt › whisperx
thomasvvugt/whisperx - Docker Image
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Videos
06:58
INSANELY EASY! Deploy Whisper AI Locally with Docker - Speech to ...
15:05
n8n Tutorial: Automatic Transcripts with Whisper in Docker - YouTube
14:09
Setup LOCAL VOICE Assistant Using Docker with Home Assistant ...
26:43
Build a Containerized Transcription API using Whisper Model and ...
GitHub
github.com › thomasvvugt › whisperx
GitHub - thomasvvugt/whisperx: Docker image for WhisperX by Max Bain
docker run -it --rm -v /path/to/audio_files:/app thomasvvugt/whisperx:cpu recording.mp3 --batch_size 4 --compute_type int8
Starred by 12 users
Forked by 5 users
Docker Hub
hub.docker.com › r › pluja › whisperx-api
pluja/whisperx-api - Docker Image
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Docker Hub
hub.docker.com › r › dustynv › whisperx
dustynv/whisperx - Docker Image
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Docker Hub
hub.docker.com › r › nionmaron › whisperx-app
nionmaron/whisperx-app - Docker Image
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Karthik
karthikziffer.github.io › journal › dockerize-whisper-model.html
Dockerize whisper model | Karthik
April 13, 2024 - conda create --name whisperx python=3.10 conda activate whisperx conda install pytorch==2.0.0 torchaudio==2.0.0 pytorch-cuda=11.8 -c pytorch -c nvidia ''' on Ubuntu or Debian ''' sudo apt update && sudo apt install ffmpeg ''' on Arch Linux ''' sudo pacman -S ffmpeg ''' on MacOS using Homebrew (https://brew.sh/) ''' brew install ffmpeg ''' on Windows using Chocolatey (https://chocolatey.org/) ''' choco install ffmpeg ''' on Windows using Scoop (https://scoop.sh/) ''' scoop install ffmpeg pip install git+https://github.com/m-bain/whisperx.git · In local system these installation step works perfectly, but when the same steps are tried as a docker image, the dependency of whisperX on faster_whisper throws an error and breaks the installation.
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 - Using a Dockerfile to deploy Whisper with support for various models brings significant advantages in flexibility, consistency, and scalability. By containerizing Whisper, you eliminate compatibility issues, as dependencies are encapsulated within the Docker image, making the setup consistent across different environments.
GitHub
github.com › Azooz-AI › WhisperX-Docker-API
GitHub - Azooz-AI/WhisperX-Docker-API: WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization) with Docker Ready and API Server
A Docker-based API server for WhisperX with multi-language transcription, speaker diarization, and word-level timestamps.
Starred by 7 users
Forked by 3 users
Languages Python
GitHub
github.com › jim60105 › docker-whisperX › blob › master › README.md
docker-whisperX/README.md at master · jim60105/docker-whisperX
This is the docker image for WhisperX: Automatic Speech Recognition with Word-Level Timestamps (and Speaker Diarization) from the community.
Author jim60105
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)
Top answer 1 of 4
2
I'm curious why you didn't use https://github.com/openai/whisper
2 of 4
2
Running on MacOS, had to remove two instances of static/files from app.py, otherwise was getting ‘file not found’ errors on submit. Form seemed to work after that, processed an mp3 to 100%. Then: /usr/local/lib/python3.8/dist-packages/torch/_utils.py:147: UserWarning: Failed to initialize NumPy: module compiled against API version 0xf but this version of numpy is 0xd (Triggered internally at /root/pytorch/torch/csrc/utils/tensor_numpy.cpp:84.) Not sure what to do about this.
GitHub
github.com › emsi › whisperX
GitHub - emsi/whisperX: whisperX docker image that works
Use the helper script whisperX that calls the container or put it in your ~/.local/bin folder to use it as a command line tool. ... docker compose --file "<path_to_this_project>/docker-compose.yaml" run -v "$(pwd)":/whisperX --rm whisperx --help
Author emsi
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
GitHub
github.com › justinwlin › runpodWhisperx
GitHub - justinwlin/runpodWhisperx: Runpod WhisperX Docker Container Repo
Runpod WhisperX Docker Container Repo. Contribute to justinwlin/runpodWhisperx development by creating an account on GitHub.
Starred by 15 users
Forked by 18 users
Languages Python 64.9% | Dockerfile 29.8% | Makefile 5.3%
Codeberg
codeberg.org › aryak › whisperx-server
aryak/whisperx-server: A basic API to perform transcribing tasks using WhisperX, which uses the faster-whisper model. - Codeberg.org
A basic API to perform transcribing tasks using WhisperX, which uses the faster-whisper model. PS: This project is intentionally basic and does just enough to work with mozhi, but I am open to suggestions on new features / improvements too.. ... Note: the Dockerfile disables nvidia for storage reasons, please change the dockerfile if you want to use nvidia