podcast-generation

To convert text to a conversational podcast, this Skill transforms written content into structured JSON scripts for two-host dialogue, synthesizes realistic voices using text-to-speech APIs, and mixes the audio into a final MP3 file.

Yes, you can generate a two-host podcast from a long document without audio editing. The process automatically structures the text into a conversational dialogue script and synthesizes the audio, eliminating the need for complex manual mixing.

Yes, you need external text-to-speech APIs to generate podcast audio. This Skill relies on external TTS providers like volcengine and minimax to synthesize realistic host voices and handle the audio generation process.

The best way to turn an article into an MP3 podcast dialogue is using a Python-based text-to-podcast conversion process. It parses the document into a conversational JSON script, synthesizes speech, and mixes the tracks into an MP3 file.

Yes, podcast generation works with Python scripts for audio mixing. The implementation uses Python modules like concurrent.futures and uuid to manage concurrent text-to-speech synthesis and mix the resulting audio tracks into MP3 files.

Using a structured JSON script for text-to-speech podcast creation separates the conversational dialogue logic from the audio synthesis. This structured approach ensures the two-host dialogue is accurately mapped before generating the final MP3 file.