Lets you answer flashcards by typing, speaking, or handwriting, then has a chosen LLM grade the answer as correct, partly, or totally wrong and explain mistakes.
Alternatives to AI Grader
AnkiWeb addon 1150481237
AI answer
Starting…
Answers are generated by Claude from the catalog data and may contain mistakes.
Similar addons (found without AI)
Grades written Anki answers using an LLM, retrieves supporting material via semantic RAG, offers tutor explanations, analytics, batch assessment, and optional interval suggestions.
Turns Anki reviews into chat-based AI sessions that semantically grade typed answers, suggest difficulty ratings, and support follow-up questions using OpenAI or Gemini providers.
Automatically grades typed answers, adjusting easy, good, hard, and again thresholds dynamically based on answer length and a configurable expected typing speed.
Automatically rates typed answers as hard, good, or easy based on configurable response-time thresholds, with options for handling mismatches, multiple answer fields, and confirming ratings.
Automatically grades typed-card reviews by correctness and response time, highlights the appropriate answer button, and selects it after four seconds; non-typed cards are unaffected.
Sets a card's default rating—easy, good, or hard—based on how long you took to reveal the answer, with configurable time thresholds and per-deck settings.
Adds quick triage actions—zeroing today's new cards or bulk-grading due cards Good/Easy—collection-wide or per deck, with preview counts and single undo steps.
Automatically sets the answer button focus to easy, good, hard, or again based on how many seconds it takes to reveal the answer, with configurable timing.
Builds custom MCQ exams from note banks with filtering, timing, scoring, a dedicated exam interface, and structured post-exam review.
Automatically sets the answer-button focus to Easy, Good, Hard, or Again based on how quickly you press Show Answer, with configurable time thresholds.
Adds an in-card AI tutor for on-the-spot explanations, mnemonics, translations, image understanding, answer grading, and saved answers during review, using free or user-supplied models.