GAAbstract's paper explainer AI reads the full PDF — not just the abstract — and turns it into a one-page visual card. You get the TL;DR, background, method, key findings with the real numbers, the main limitation, and why the paper matters. Built for researchers and students who present at journal clubs, run lab meetings, or keep visual notes on what they read. Upload a paper and get a presentation-ready card in about twenty seconds. Free to try, no credit card needed.
Format de la fiche
Avantage réservé aux membres : les abonnés reçoivent chaque mois un quota de fiches, sans dépenser de crédits. Les comptes gratuits incluent quelques fiches d'essai.
Votre fiche apparaîtra ici
Téléversez n'importe quel article que vous lisez — le vôtre ou celui d'un autre — et obtenez en quelques secondes une fiche de synthèse prête à présenter.
A real card generated from “Attention Is All You Need” (Vaswani et al., NeurIPS 2017) — no manual edits.
The AI kept the real numbers — 28.4 BLEU, the training cost, the O(n²) limitation — and rendered them exactly as you would export them.
Chat-with-PDF tools answer questions one at a time, and the answers disappear into a scroll. A paper explainer card is a finished artifact: structured, visual, and ready to paste into slides or share with your lab. Working on your own manuscript instead? Our turns your paper into a journal-ready submission figure.
No prompting, no setup. Three steps from PDF to presentation-ready card.
Drop in any research paper — a journal article, conference paper, or preprint up to 100MB. Yours or anyone's, in any language.
A Claude-based model reads every page, not just the abstract. It extracts the TL;DR, background, method, three to four key findings, the main limitation, and why the paper matters — keeping numbers, effect sizes, and named entities verbatim.
Get a 16:9 card for journal club slides or a 3:4 card for sharing, exported as a crisp PNG. Every card lands in your library automatically.
Most AI reading tools stop at a text summary. This one ends with something you can show.
Abstracts hide the caveats. The explainer works from the entire PDF — methods, results, and discussion — so the card reflects what the paper actually did, not just what it promised.
Key findings keep the original values: effect sizes, p-values, benchmarks. The model is instructed to omit anything the paper doesn't state, rather than fill gaps.
Every card carries the paper's main limitation. It's the first thing a good journal club asks about — and the first thing text summaries leave out.
You can interrogate a PDF for half an hour, or you can start from a card that already answers the first ten questions.
Paper explainer AI, free usage, accuracy, and formats — answered.
Upload the PDF you're presenting this week. Get a one-page card with the TL;DR, the numbers, and the limitation — free to try, ready for your journal club.
Export 16:9 for presentation decks or 3:4 for sharing and notes apps. Same card data, two layouts, high-resolution PNG.
Every card is saved to your account automatically. After a semester of reading, you have a browsable gallery of every paper you covered.
Upload, wait, done — around twenty seconds for a typical paper. No prompt writing, no configuration, no template fiddling.
