Adds customizable, real-time text-to-speech to card templates, with pronunciation lists, voice and speed settings adjustable and toggleable directly on iOS/iPadOS mobile devices via user actions.
Alternatives to Anki TTS speech dispatcher
AnkiWeb addon 978983582
AI answer
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Similar addons (found without AI)
Provides an example third-party text-to-speech plugin that reads card fields aloud using gTTS, requiring Anki 2.1.20 or later.
Adds automatic text-to-speech playback and assigns TTS tags to selected fields per note type, without editing templates, supporting batch processing and language-specific voices.
Enables fully hands-free Anki review by reading cards aloud, recognizing spoken answers, and scoring them with AI, OCR, and multi-language support.
Reads flashcard text aloud offline with customizable voices, speeds, keyboard shortcuts, smart cloze handling, and over 150 built-in medical pronunciation corrections.
Synthesizes Japanese speech at review time via a local VOICEVOX server, with centrally routed voice presets, text cleanup and regex rules, and optional cached audio export for mobile playback.
Reads Anki card text aloud during review using Windows Microsoft text-to-speech voices, supporting multiple languages and voices for language learning and users with ADHD.
Generates Microsoft Edge text-to-speech audio from the current field in the Anki editor via button or Ctrl+T, auto-detecting languages and caching results, with customizable voices, rate, and volume.
Generates free text-to-speech audio with EdgeTTS and offline engines, saving files to cards or streaming during review, with batch generation, voice mapping rules and resumable checkpoints.
Converts YouTube videos, playlists, or channels into translated vocabulary flashcards with optional text-to-speech or video audio, screenshots, rom
Explains topics, chats about study material, and generates basic, cloze, image-occlusion, and audio cards from notes, documents, and images, with free local text-to-speech.
Tests pronunciation by recording your voice, transcribing it via Google or Microsoft speech-to-text, and comparing the result with a chosen card field.