AnkiWeb
- Rating
- 5 (π 4 Β· π 1)
- Updated
- 2021-03-23
- Anki versions
- 2.1.35~
- Description language
- en
AnkiWeb addon 395996975
Alerts users with optional sound and pop-up when they review cards too quickly, showing time spent and advice to slow down, with configurable ease thresholds, mute option, and messages.
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abandoned
| Min Anki | Max Anki | Updated |
|---|---|---|
| 2.1.0 | 2.1.35+ | 2021-03-23 |
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Automates alerts, answer reveals, or failures when reviews take too long, with per-deck settings, countdown, timers, hotkeys, and pause options.
Monitors review speed and error rates against your baseline, then displays non-intrusive floating break alerts with adaptive calibration, cooldowns, and 17+ language support.
Displays customizable pop-ups with motivational text, images, audio/video when answering review buttons, with configurable chances, per-button content, and options.
Auto-reveals the answer after a delay computed from card length and FSRS difficulty, never grading, with optional countdown bar, warning sound, and pause controls.
Automatically rates typed answers as hard, good, or easy based on response time, with configurable thresholds, mismatch handling, and additional options.
Adds customizable in-review text-to-speech to Anki mobile by embedding JavaScript and user actions, letting you toggle, adjust speed/voices, and reuse pronunciation lists.
Anki Speed Limit is an Anki add-on stopping and reminding the user to not rush through their Anki reviews without thinking them through. Depending on the user-reported difficulty (ease) of the card, the add-on will alert the user with both an optional sound effect and a pop-up detailing how long the user viewed the card, along with advice to slow down. This is to ensure that one does not spend time mindlessly flipping through and performing poorly on cards without meaningfully learning from them.
Settings can be adjusted through config.json, including:
The AnkiWeb page (with the download information) is here.
Anki is a free, open-source flashcard application using a Spaced Repetition System to optimize one's review schedule.