How to cancel your Pro subscription
Cancel ScholarThread Pro any time from your account settings — no email, no form, no retention call. Here's the exact process, what happens to your data, and how refunds work.
We keep cancellation simple on purpose: you can cancel a Pro subscription at any time from your account settings. No email to write, no cancellation form to fill in, no retention call to sit through.
The steps
- Go to Settings → Billing.
- Click Manage subscription. This opens the Stripe-hosted billing portal in a new tab.
- Click Cancel plan and confirm.
That's it. The cancellation is processed by Stripe, so you're managing it on the same secure surface that handles the payment itself.
When it takes effect
Cancellation takes effect at the end of your current billing period — not immediately. You keep every Pro feature (bigger storage caps, priority support, and the rest) until that date. After it, your account rolls back to the Free tier.
Crucially, the tier change only affects features, not data. Your library, your notes, and your connections all stay exactly as they are. Downgrading to Free never deletes anything you've created — you simply lose the Pro-only headroom, and can re-upgrade later to get it back.
Refunds
We don't provide partial refunds for unused time in the current billing period, except where consumer-protection law requires it.
If you're a UK or EU consumer, you have a statutory 14-day right to cancel a distance contract for a full refund — but note that this right is lost once you actively use Pro-only features. By upgrading and starting to use Pro, you consent to that loss of the cancellation right. The full text lives in our Terms of Service (§8).
Changed your mind after cancelling?
You can re-subscribe any time before the current period ends — the pending cancellation is simply dropped and Pro continues uninterrupted. If you re-subscribe after the period has ended, it starts a fresh billing cycle at whatever price applies then.
Either way, there's nothing to lose by cancelling and nothing to reconstruct if you come back — your data is waiting where you left it.