--- title: How to run a Red Hat-powered local AI audio transcription description: A step-by-step guide to setting up a fully local audio transcription pipeline using OpenAI's Whisper library and a Red Hat AI validated model... canonical: https://daily.dev/posts/how-to-run-a-red-hat-powered-local-ai-audio-transcription-f5ltyyoqe twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: How to run a Red Hat-powered local AI audio transcription | daily.dev og:description: A step-by-step guide to setting up a fully local audio transcription pipeline using OpenAI's Whisper library and a Red Hat AI validated model... og:url: https://daily.dev/posts/how-to-run-a-red-hat-powered-local-ai-audio-transcription-f5ltyyoqe og:image: https://api.daily.dev/og/posts/f5LtYyoqe.png og:image:alt: How to run a Red Hat-powered local AI audio transcription og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # How to run a Red Hat-powered local AI audio transcription **[Red Hat Developer](https://daily.dev/sources/rhdev)** · 3 min read · 0 upvotes · 0 comments ## Summary A step-by-step guide to setting up a fully local audio transcription pipeline using OpenAI's Whisper library and a Red Hat AI validated model (whisper-large-v3-turbo-FP8-dynamic) from HuggingFace. The setup uses the uv Python package manager, a virtual environment, and the hf CLI tool to download the ~1GB model. Once configured, transcription runs entirely offline with no audio data leaving the local machine, addressing privacy concerns with cloud-based transcription services. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [From local prototype to enterprise production: Private speech transcription with Whisper and Red Hat AI](https://daily.dev/posts/from-local-prototype-to-enterprise-production-private-speech-transcription-with-whisper-and-red-hat-hqggegkqh) · Red Hat Developer · 0 upvotes · 0 comments - [Build a Fully Local Voice Assistant With Whisper and Ollama](https://daily.dev/posts/build-a-fully-local-voice-assistant-with-whisper-and-ollama-lswpqs4yi) · Medium · 2 upvotes · 0 comments - [I replaced Otter.ai with a better self-hosted voice transcription tool that's completely free](https://daily.dev/posts/i-replaced-otter-ai-with-a-better-self-hosted-voice-transcription-tool-that-s-completely-free-wfimam10z) · XDA Developers · 0 upvotes · 0 comments - [Real-Time translated speech pipeline with Whisper and Soprano](https://daily.dev/posts/real-time-translated-speech-pipeline-with-whisper-and-soprano-wqus4v8ef) · DigitalOcean Community · 0 upvotes · 0 comments - [Build a local voice agent with Red Hat OpenShift AI](https://daily.dev/posts/build-a-local-voice-agent-with-red-hat-openshift-ai-pjl9e0xyt) · Red Hat Developer · 0 upvotes · 0 comments --- Tags: [#local-ai](https://daily.dev/tags/local-ai), [#python](https://daily.dev/tags/python), [#whisper](https://daily.dev/tags/whisper) [View this post on daily.dev](https://daily.dev/posts/how-to-run-a-red-hat-powered-local-ai-audio-transcription-f5ltyyoqe) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"How to run a Red Hat-powered local AI audio transcription","url":"https://daily.dev/posts/how-to-run-a-red-hat-powered-local-ai-audio-transcription-f5ltyyoqe","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/how-to-run-a-red-hat-powered-local-ai-audio-transcription-f5ltyyoqe"},"datePublished":"2026-03-25T07:08:09.538Z","dateModified":"2026-03-30T02:17:04.443Z","description":"A step-by-step guide to setting up a fully local audio transcription pipeline using OpenAI's Whisper library and a Red Hat AI validated model...","image":"https://developers.redhat.com/sites/default/files/styles/share/public/Red-Hat-AI.png?itok=QCWQOeIo","thumbnailUrl":"https://developers.redhat.com/sites/default/files/styles/share/public/Red-Hat-AI.png?itok=QCWQOeIo","isAccessibleForFree":true,"articleSection":"Red Hat Developer","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Red Hat Developer","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/2a8895f3216c4900bdc455585a4ad3e4","url":"https://daily.dev/sources/rhdev"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/how-to-run-a-red-hat-powered-local-ai-audio-transcription-f5ltyyoqe","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"local-ai,python,whisper","timeRequired":"PT3M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Red Hat Developer","item":"https://daily.dev/sources/rhdev"},{"@type":"ListItem","position":3,"name":"How to run a Red Hat-powered local AI audio transcription"}]} ```