How to

Sumzup shrinks long podcasts into a 3-minute read; easy and fun to digest.

We do our best to deliver the newest episodes of our featured creators (The Diary of a CEO, Huberman Lab, the Mel Robbins Podcast, ...) as quickly as possible, alongside a great quality summary & analysis, claim checks, and clickbait scorers to save your time surfing through hundreds of interesting podcasts... in this age of infinite curiosity and information overload.

Whenever a new episode drops, we process and publish a digest at sumz-up.com.

What each digest gives you:

Summaries in six voices. The same episode, retold in 6 different voices [Neutral, Zoomer, Comedian, Mrs Curses, Hardcore, Wise CEO]. Pick whichever one actually makes you want to read it.
Fact-checking claims. We capture unverified claims from the episode, get checked against cited sources, and label each based on consensus (preferring academic or scientific opinions)... and show whether the claim is well-supported, controversial (in debate), or ungrounded.
Clickbait Checker. It reads the actual thumbnail and title, then tells you what the episode really delivers versus what it promises.
English and Korean. Every digest is available in both: more language support coming soon.

By default you'll get one weekly email rounding up the new episodes.

If you'd rather hear about every new episode as it lands, you can change your preference in the signup form's frequency option ("Every new episode").

Disclaimer: the digests are AI-generated, and AI can make mistakes. Treat them as a starting point rather than a fact. The actual contents (podcasts) belong to the original creators!

You can unsubscribe from us any time with one click, no hard feelings.

Glad you're here.

— Ava, Founder of Sumzup

How a digest is made — and what it can't do

Every digest starts from the episode's own transcript. We pull out the key points and claims, write one neutral summary, then rewrite that same summary in each voice. Nothing is written from memory or invented about the episode.

What we do to keep it honest

Voices change the style, never the substance. Every voice is a restyling of the same neutral summary. The facts, numbers, names and timestamps are carried over unchanged — the timestamps are copied from the neutral version, so a voice can't drift them out of sync with the player.
A broken digest is thrown away, not published. Before anything goes live it's checked: no empty summary, enough key points for the episode's length, chapters in sensible order, and coverage across the whole episode rather than clustered at the start.
When a voice fails, we say so. If a voice can't be generated for an episode, that voice shows the neutral text with a "Showing neutral" label instead of quietly pretending.
Claims are checked against real sources. We search academic and reference databases and label each claim by what the sources actually say — with those sources listed so you can go read them yourself.
The Clickbait Checker reads the real thumbnail. An image model reads the actual thumbnail picture and title, not just the video's text description.
We never invent data to fill a gap. If we don't have something, the space stays empty. No made-up "most replayed" moments, no filler.

What it genuinely can't do

AI hallucinates — including here. A digest is a starting point for deciding whether to watch, not a source to quote. If something matters, the real episode is one click away and every key point is timestamped so you can check it.
"Model certainty" is not a probability of truth. It's how confident the model is in its own label. A confident model can be confidently wrong.
A fact-check can be wrong in both directions. "Needs Research" means we couldn't find supporting sources — not that the claim is false. And a claim pulled out of a long conversation can lose the context that made it reasonable.
Translations drift. The Korean is machine-translated from the English digest — which is itself a summary of a transcript. Each step can lose nuance, and jokes and slang lose the most. Where we quote a video's real title or thumbnail, we leave it in the original language on purpose: translating a quote would misquote it.
Transcripts aren't perfect. They come from the video's captions. Names, jargon and crosstalk get mangled, and timestamps can sit a little before or after the moment.
Some voices are rude on purpose. The voices are entertainment. One of them swears constantly by design — that's the joke, and it's opt-in. Neutral is always there if you just want the facts.
This isn't advice. Nothing here is medical, financial or legal advice, however confident a voice sounds.

Found something wrong? Please tell us — support@youtubetotext.com. Corrections make the whole thing better.