What is Earkind?
Earkind
Earkind transforms a plain‑text list of news items and arXiv URLs into a complete podcast episode. It crawls titles and abstracts, extracts key content from PDFs, and feeds the data into a language model that drafts scripts for introductions, transitions, and speaker sections.
Two virtual hosts deliver the script through Azure Speech Service, and the audio is assembled automatically with Pydub, applying jingles, sound effects, and background music. The tool then generates a detailed episode description, timestamps, and a title using the same language model.
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Earkind's key features
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AI-generated podcast pipeline
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Azure TTS synthesis
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Pydub audio editing
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Script generation from news
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Automatic episode descriptions
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Character-based dialogue
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Jingles and sound effects
Earkind use cases
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Generate a daily research roundup podcast for a university, automatically converting top arXiv papers into concise audio episodes ready for upload
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Automatically produce a news podcast for a media outlet by turning curated news lists into narrated episodes with background music and metadata without manual editing
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Create a science‑communication podcast series summarizing research PDFs into scripted audio with sound effects, fully prepared for distribution
Who is it for?
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Audio editors
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Content creators
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Research analysts
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Podcast producers
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Digital publishers
