Turn a research paper into an AI podcast
Upload a PDF or paste the text of a research paper and the API produces a discussion-style podcast that walks through the abstract, the methodology, the findings, and the limitations. Skip the part where you spend an hour skimming a 30-page paper to decide whether it is worth a real read.
How it works
- Step 1Submit your research paper
Send the research paper to the AutoContent API as a URL, file upload, or pasted text. The API accepts most public sources directly and supports authenticated uploads for private content.
- Step 2Pick your tone and voices
Choose from 50+ AI voices and a handful of presets that shape pacing, formality, and length. Defaults work for most use cases — tweak when the AI podcast is heading somewhere brand-sensitive.
- Step 3Receive your AI podcast
Generation typically completes in under five minutes. The API returns the finished AI podcast plus a transcript, share URL, and metadata you can plug into your existing distribution stack.
Example output
Frequently asked questions
How does the API handle citations and equations?
Citations are referenced by author and year rather than read out as URLs. Equations are paraphrased into plain language; the audio cannot render LaTeX.
Can it process papers behind paywalls?
The API processes whatever text you submit. If the paper is paywalled, upload a copy you have legitimate access to. Public preprints (arXiv, bioRxiv) work directly from a URL.
Is this useful for systematic reviews?
Yes — generate one podcast per paper in the review queue and triage by listening at 1.5x. Researchers commonly use this to decide which papers to read in depth.
Ready to convert your research paper?
Generate AI podcasts programmatically via the AutoContent API. Per-request pricing — pay only for what you generate.