Alternatives to Example Sentences - Japanese

Automatically generates and bulk-generates furigana readings and looks up Japanese pitch accents, adding them to configured Anki note fields.

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Auto-generates Japanese vocabulary notecards from a word list via the Jisho.org API, including definitions, readings, JLPT level, kanji explanations, furigana and example sentences, placed in a custom deck.

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Fetches Japanese example sentences from Yourei.jp for selected editor text via a button or Ctrl+Y, with clickable insertion, load more, and error handling.

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Generates contextual written explanations and spoken audio for target words in sentence cards using OpenAI models and selectable TTS engines, with one-click or batch processing.

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Generates furigana readings for Japanese text, provides Japanese note types, kanji statistics, and dictionary lookup, with customizable furigana display in card templates.

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Automatically fills Anki fields with kanji readings, hiragana, word type, and limited JMdict definitions offline, plus example sentences, with configurable field mappings and bulk deck updates.

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Backfills Japanese vocabulary notes with example sentences, screenshots, audio and translations from Nadeshiko, Immersion Kit or local Aobana sources, either deck-wide, for selected notes, or by hotkey while reviewing.

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Adds furigana to selected Japanese vocabulary or sentences on demand via a toolbar button or hotkey, converting kanji into bracketed kana using jisho.org.

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Queries Anthropic or OpenAI APIs with custom prompts to fill Anki note fields, supporting batch updates, card creation, and per-note-type configurations.

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Converts YouTube videos, playlists, or channels into translated vocabulary flashcards with optional text-to-speech or video audio, screenshots, rom

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Generates Anki cards from Japanese Kindle highlights via Vocab Builder, capturing deconjugated words, sentences, and reading metadata into book-named subdecks while resuming from the last import.

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Automatically bolds target Japanese vocabulary within sentence fields using morphology-aware matching, with dry-run preview, browser integration, custom readings, and optional furigana clearing.

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