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Paper-to-Podcast

Paper-to-Podcast

Automated research summaries, transcripts, and selected podcast episodes

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What this product helps you do

Paper-to-Podcast is a public research-discovery project rather than an on-demand private conversion service. Visitors can browse an archive or submit a freely accessible PDF for consideration. The operator says AI analyzes papers and creates entertaining transcripts, with selected transcripts read by another AI and published to the podcast feed. The workflow is almost entirely automated and is not human fact-checked, so the original paper remains the authoritative source.

Problems it solves

  • Academic papers are difficult to scan outside a reader's specialty
  • Researchers and curious listeners need an audio-friendly discovery format
  • New work is distributed across publishers, preprint servers, and disciplines
  • Creating conversational summaries and audio manually takes substantial time
Best for
Researchers monitoring adjacent fieldsStudents exploring scientific topicsPodcast listeners interested in current researchAuthors submitting freely accessible papers for consideration

Paper-to-Podcast is a free public project that applies AI to research papers, publishes conversational analyses, and turns selected transcripts into podcast episodes. Its archive spans multiple scientific and social-science topics.

The output is almost entirely automated and not human verified. Users should follow the cited source, distinguish preprints from peer-reviewed work, and read the original paper before relying on a summary.

Information

DeveloperPaper-to-Podcast
Languagesen
Pricing modelfree
botconomy

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