Research Paper to Podcast — A Two-Host Explainer, Not a TTS Reader
Turn a research paper into a two-host explainer podcast, not a robotic text-to-speech read-through. Critique methodology, synthesise a literature review from up to 50 sources (Pro), in 73 languages.
Turn a research paper into a two-host explainer, not a robot reading aloud
Podhoc turns a research paper into a conversational two-host explainer — one that questions the methodology and connects the argument — rather than a single-voice text-to-speech read-through. Upload a PDF or paste a URL (including arXiv preprints), pick a format such as Critique, set a duration from 5 minutes to 2 hours, and generate. A 20-page paper becomes a 15-30 minute episode in a few minutes.
This landing sits alongside AI podcasts for researchers, which covers the broader research workflow; here we focus on the single paper-to-podcast conversion and why an explainer beats a reader.
Explainer vs reader: the real distinction
Most “listen to your papers” tools are text-to-speech readers — they voice the paper linearly in one narration. That is fine for a first pass, but it does not help you evaluate or connect ideas. Podhoc’s output is a two-host explainer:
- Two voices (up to 3 on Pro) trade questions and surface the argument, instead of one flat narration.
- Critique style actively weighs methodology and evidence rather than reading the methods section aloud.
- Cross-references and implications are drawn out, the way a good journal-club discussion would.
Formats that match your reading goal
| Research need | Best format | What it does |
|---|---|---|
| Evaluate a paper | Critique | Analyses methodology, weighs evidence, flags limitations |
| Quick screening | Simplified Explanation | Key findings in about five minutes |
| Learn a new field | Didactic | Structured, teacher-style walkthrough |
| Understand hard theory | Feynman Technique | Reduces abstractions to first principles |
| Contested findings | Debate | Voices argue competing interpretations |
| Comprehensive read | Deep Dive | Thorough coverage of every major argument |
How to turn a research paper into a podcast
- Add the paper — upload the PDF or paste the URL (arXiv, a journal, a repository). It needs extractable text.
- Pick a format for your reading goal — Critique to evaluate, Simplified Explanation to screen, Deep Dive for depth.
- Set duration and language — 5 minutes to 2 hours, in any of 73 languages, independent of the source language.
- Listen and repeat — stream or download; one paper per morning clears dozens over a term.
Build a literature review from many papers
On the Pro plan you can combine up to 50 sources per podcast with per-source weighting — a narrated literature review that centres on your primary paper and lets related work fill in context. For the full screening → deep-reading → synthesis workflow, see AI podcasts for researchers. If a single source corpus is getting unwieldy, the multi-source approach explains how Podhoc handles source volume.
Automate it for a whole library
Researchers who want to batch-convert a reading list can use the Pro-tier REST API to turn publicly reachable paper URLs into episodes programmatically — handy for an institutional repository or a reference-manager export.
Keep exploring
- AI podcasts for researchers — the full literature-review workflow and the science of scholarly audio.
- Listen to academic papers — the PDF flow tuned to journal articles and preprints.
- The Critique audio style — recommended for papers you want to read critically.
- Best NotebookLM alternative — how Podhoc compares across languages, formats and sources.
- Podhoc REST API — automate ingestion from Zotero, Mendeley or a repository.
Note: Google renamed NotebookLM to Gemini Notebook on 16 July 2026. It is a rename and relaunch, not a new product — existing notebooks, links and
notebooklm.google.comkeep working — so any comparison to “NotebookLM” on this page applies equally to Gemini Notebook. We keep the NotebookLM name here because it remains the more common search term.
Frequently asked questions
- What makes this different from a text-to-speech paper reader?
- Text-to-speech tools read the paper aloud in a single voice, top to bottom. Podhoc produces a two-host conversational explainer (up to 3 voices on Pro) that surfaces the argument, questions the evidence, and connects sections — closer to a journal club than a narration. That is the wedge against TTS-only readers.
- Can it evaluate a paper, not just summarise it?
- Yes — use the Critique style. It analyses methodology, weighs evidence quality and flags limitations, which is what you want for a paper you are reviewing rather than merely skimming.
- Can I combine several papers into one episode?
- Yes. The Pro plan supports up to 50 sources per podcast with per-source weighting, so you can synthesise a narrated literature review that highlights connections and tensions — weight the primary paper heavily and let supporting sources fill in.
- Does it handle non-English papers?
- Podhoc supports 73 languages, and source and output language are independent. Upload a paper in one language and generate audio in another. It regenerates the key content as natural audio rather than doing a literal word-for-word translation.
- How does this compare to NotebookLM?
- NotebookLM — now Gemini Notebook — also produces two-host audio from papers, so on that axis they overlap. Podhoc’s differences are source and output language decoupled across 73 languages, pedagogical styles like Feynman and Didactic (plus custom styles) that Gemini does not offer, per-source weighting, and a Pro-tier API for batch conversion. Gemini Notebook, in turn, carries a larger source ceiling and produces outputs beyond audio.
- Can I automate this for my whole library?
- On the Pro plan, the REST API can convert publicly reachable paper URLs programmatically — useful for batch-processing an institutional repository or a Zotero/Mendeley export. See /api/.