Anki alternatives for sentence mining, and when to just use Anki

The real bottleneck

People rarely abandon sentence mining because reviewing is unpleasant. They abandon it because making the cards is a chore: pause the video, copy the sentence, find a definition, screenshot the frame, grab the audio, fill in the fields, resume. Two or three minutes per card, forty times a video.

So the useful question about any Anki alternative is not whether its review screen is nicer. It is whether the card gets made without you doing that.

When Anki is still the right answer

Being direct about this, since the honest answer is often "keep using Anki".

You already have a deck you trust

Years of review history is real evidence about your own memory. Do not throw it away for a nicer interface.

You want control over the algorithm

Anki exposes its scheduler in detail and has a large ecosystem of add-ons. Nothing else comes close on configurability.

You study on several devices, including a phone

Anki syncs. Most browser-based alternatives, including ours, do not.

You want shared decks

A large library of community decks exists for Anki and nowhere else at that scale.

What an alternative has to do to be worth switching for

Make the card in one action, from where you met the word

If you still have to copy anything by hand, the bottleneck has not moved.

Keep the sentence, not just the word

The sentence is the point of sentence mining. A tool that saves bare word pairs has missed it.

Capture media automatically

The video frame and the speaker's actual audio, taken at the moment of saving rather than reconstructed later.

Let you leave

Export, free, in a format something else can read. Any tool that can trap a year of your work should be treated with suspicion — including this one, which is why export here is free at every tier.

The two scheduling philosophies

Worth understanding, because it is the substantive difference between systems rather than a matter of taste.

Self-graded systems, like Anki's SM-2 and its successors, ask you how hard each recall felt and adjust future intervals from that. The information is richer, and it depends on you rating yourself honestly and consistently — which people do less reliably than they think, particularly when tired.

Automatically graded systems only know whether you were right, and move along a fixed ladder. Less information, but no self-report to be unreliable about. NoaLingua uses both: manual grading in its review screen, and a fixed ladder in its practice games, with a wrong answer dropping two rungs rather than resetting to zero.

The pragmatic answer

Use something that makes the cards for you while you watch, and export to Anki if and when you want Anki's scheduler, its mobile app or its ecosystem.

These are not competing choices. The hard part is capture, and the part Anki is genuinely excellent at is review. A workflow that uses each for what it is good at is better than picking a side.