Convert newsletter and email text into MP3 podcast audio.
npx skills add https://github.com/cnbison/lbc-skills --skill podcastifier
Please help me install this Agent Skill. Skill: podcastifier Source: https://github.com/cnbison/lbc-skills/tree/main/skills/agents-skill-podcastifier Command: npx skills add https://github.com/cnbison/lbc-skills --skill podcastifier
Converts incoming text such as emails or newsletters into short, automated TTS podcasts, streamlining content dissemination.
Provide the newsletter text file to the skill to generate a podcast MP3 ready for distribution.
High-intent search queries and answers about installing and using this skill.
To turn newsletter text into an audio podcast, you provide the plain text or HTML content to the skill, which parses story bullets and generates speech chunks. It then concatenates these chunks into a single MP3 file ready for distribution using ffmpeg.
Automated text-to-speech conversion for email content is the process of parsing plain text or HTML emails to extract stories, synthesizing speech chunks, and merging them into an MP3 file. This streamlines content dissemination by creating shareable audio summaries.
Yes, you need Python and ffmpeg to generate audio summaries, along with a TTS provider API such as ElevenLabs. These dependencies are required to synthesize speech chunks and concatenate them into a final MP3 podcast file.
Yes, you can use HTML emails to create TTS podcast episodes. The skill parses plain text or HTML emails and newsletters, extracting story bullets to generate adjustable speech chunks that are concatenated into a single MP3 file.
The best way to distribute daily newsletters as audio files is by automating text parsing and speech synthesis to create a ready-to-listen MP3. This approach allows content creators to quickly generate shareable audio summaries for subscribers.
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