AI Research Papers Podcast - Listen to Machine Learning Breakthroughs in Minutes
ResearchBunny converts the latest AI and machine learning papers into crisp 3, 6, or 9-minute audio briefs so you never fall behind the field again. Ask follow-up questions with Ask Bunny AI and go deeper only when it matters.
Trusted by Universities and Researchers across the world
The AI field moves faster than anyone can read
New AI papers drop daily across arXiv, NeurIPS, ICML, and ICLR - and staying current while writing code, running experiments, or attending seminars is nearly impossible. Skimming abstracts leaves critical methodological gaps, and reading full papers for every relevant result burns hours you do not have.
ResearchBunny is the AI research podcast built for researchers, not casual listeners
ResearchBunny ingests cutting-edge AI papers and delivers them as structured audio briefs covering motivation, methodology, results, and limitations. Choose your depth - 3 minutes for a signal check or 9 minutes for a thorough briefing - then interrogate any paper further with Ask Bunny AI's conversational Q&A.
Smarter Research, Done in Minutes
Everything you need to stay on top of research - without reading every word.
Stay current without context-switching
Queue up the week's top AI papers and absorb them during commutes or gym sessions - no screen required.
Ask Bunny AI for deeper insight
Pause any brief and ask 'What training data was used?' or 'How does this compare to GPT-4?' and get instant, grounded answers.
18+ language support for global AI labs
Listen to AI paper summaries in your native language, bridging the gap between international research and your understanding.
How It Works How ResearchBunny Turns AI Papers Into a Personalized Research Podcast
From any paper to an audio brief in minutes. No setup, no friction - just research at your pace.
Find or Upload
Search ResearchBunny's library of 200M+ papers, paste a DOI, or upload your own PDF. Any paper, instantly available.
Get Your AI Summary
Our AI reads the full paper and generates a structured audio brief — key findings, methodology, and implications — in 3, 6, or 9 minutes.
Listen Anywhere
Stream on web or download to iOS and Android. Listen during commutes, workouts, or anywhere you have a spare few minutes.
Structured AI paper summaries that mirror how researchers think
Unlike generic text-to-speech tools, ResearchBunny's AI briefs follow a consistent research narrative - problem statement, prior work, key contribution, experiments, and takeaways. Pro users can upload preprints and internal lab reports before they are publicly indexed, keeping your team's literature review ahead of the curve.
Few Words from our
ListenersHere's What Our Subscribers Are Saying
About ResearchBunny
Questions Frequently Asked
Everything you need to know before you start.
Yes. ResearchBunny continuously indexes AI and machine learning papers from arXiv and major conference proceedings. New papers appear as audio briefs within hours of publication, and you can subscribe to topic playlists that auto-update like a podcast feed.
Each brief is available in 3-minute (key findings only), 6-minute (methodology + results), and 9-minute (full research narrative) formats. You choose based on how deeply you need to engage with a given paper.
ResearchBunny covers all subfields of AI including large language models, computer vision, reinforcement learning, robotics, and AI safety. You can filter by topic, venue, or author to build a focused feed around your research interests.
Pro plan subscribers can upload their own PDFs - including internal preprints and non-indexed papers - and ResearchBunny will generate a full audio brief with Ask Bunny AI Q&A enabled. This is ideal for lab reading groups reviewing papers before submission.
Yes. Download any AI paper brief in advance through the iOS or Android app and listen offline during conference travel, poster sessions, or anywhere with limited connectivity.
Explore Other Use Cases
Discover more ways ResearchBunny helps researchers, students, and educators stay ahead.