Tutorial Shows How to Build an Automated Podcast Intro Generator

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A DEV Community tutorial explains how to create a tool that automatically produces custom podcast intros for each episode, avoiding manual audio editing. The described pipeline gathers show metadata, turns it into a text script, converts that script to speech with a text-to-speech engine, and post-processes the audio by trimming, adding music, and normalizing volume. The author uses Python 3.11 along with libraries such as requests, pydub, and tqdm, with ffmpeg required for audio handling. The walkthrough relies on ElevenLabs' text-to-speech and voice-cloning API, though the author notes any other provider could be substituted. A sample function shows how a show name, host, episode title, and optional tagline can be combined into an intro script.

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