For fifteen years, "use Anki" was step one of every serious language-learning method — and step one was where most people quit. The honest 2026 picture is more forgiving.
What Anki still does best.
It's free and open-source; its ecosystem of shared decks is unmatched (we list verified ones on every language hub); it works for anatomy and law exams as well as Korean, so everything lives in one review queue; and it's infinitely customizable — card templates, add-ons, statistics. If you already use Anki happily, nothing below argues for leaving — pick tools that export to it, like LangPanda or Language Reactor Pro, and keep your system. Our LangPanda Anki export guide covers the best version of that workflow.
What built-in SRS does better.
Two things, and they're the two that kill most Anki habits. First, card creation: built-in systems capture the sentence, audio, and screenshot automatically from the show you're watching — the work that costs Anki users minutes per card. Second, setup: nothing to install, sync, or configure; review happens in the same tool (and in LangPanda's case, in iOS/Android apps). The algorithm gap has also closed: PandaMemory runs FSRS-5, the modern scheduler the Anki community itself has been adopting over the default. Trancy and Lingopie ship simpler flashcard review — fine for casual reinforcement, not a serious SRS.
The honest decision rule.
If you've tried Anki before and abandoned it, that's evidence — use a tool with built-in review and automatic capture, because your bottleneck was friction, not algorithms. If you're a systems person who'll happily spend an evening on card templates, use Anki with a tool that exports rich cards into it. And if you've never tried either: start with built-in, graduate to Anki only if you hit its limits. The best SRS is the one you'll still be using in March.