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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 5 users

Languages Python

Docker Hub

hub.docker.com › r › pluja › whisperx-api

pluja/whisperx-api - Docker Image

GitHub

github.com › tijszwinkels › whisperX-api

GitHub - tijszwinkels/whisperX-api: The WhisperX API is a containerized solution for transcribing audio files using the powerful `whisperx` model. This API provides an easy-to-use endpoint for audio transcription and is packaged into a Docker container for easy deployment

The WhisperX API is a containerized solution for transcribing audio files with diarization using the powerful whisperX project. This API provides an easy-to-use endpoint for audio transcription and is packaged into a Docker container for easy ...

Starred by 16 users

Forked by 6 users

Languages Python 68.8% | Dockerfile 31.2%

Docker Hub

hub.docker.com › r › onerahmet › openai-whisper-asr-webservice

onerahmet/openai-whisper-asr-webservice - Docker Image

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)

Dockerfile for WhisperX: Automatic Speech Recognition with Word-Level Timestamps and Speaker Diarization (Dockerfile, CI image build and test) - jim60105/docker-whisperX

Starred by 404 users

Forked by 47 users

Languages Dockerfile 76.6% | Python 14.4% | HCL 9.0%

Docker Hub

hub.docker.com › r › dustynv › whisperx

dustynv/whisperx - Docker Image

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.

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 › saladtechnologies › whisperx-api

saladtechnologies/whisperx-api

Welcome to the world's largest container registry built for developers and open source contributors to find, use, and share their container images. Build, push and pull.

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 ...

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Replicate

replicate.com › erium › whisperx

erium/whisperx | Run with an API on Replicate

whisperx · Automatic Speech Recognition with Word-level Timestamps & Diarization · Public · 5.3K runs · License · GitHub · Paper · Playground API Examples README Versions · This model costs approximately $0.035 to run on Replicate, or 28 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

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..

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

python CopyEdit import requests # Use Runpod's API to launch container or send file # Automate audio upload & receive transcript · Useful for SaaS, batch processing, and multi-user platforms. Always test locally before deploying. Add GPU checks to ensure Whisper uses CUDA. Use loggers instead of print statements for better debugging. Mount persistent storage for large audio files. Use ngrok or share=True in dev but avoid in production. Use Docker volumes if you need to cache model weights.

Docker Hub

hub.docker.com › r › thomasvvugt › whisperx

thomasvvugt/whisperx - Docker Image

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.

Docker Hub

hub.docker.com › r › matusstas › openai-whisper-microservice

matusstas/openai-whisper-microservice - Docker Image

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)