Converts standard LaTeX delimiters into Anki's native MathJax format via an editor toolbar button or bulk conversion of all or selected notes.
Alternatives to Audio Converter - Convert audio in your Anki cards
AnkiWeb addon 1555675372
AI answer
Answers are generated by Claude from the catalog data and may contain mistakes.
Similar addons (found without AI)
Permanently speeds up card audio files with pitch preservation via FFmpeg, offering previews, batch processing, skip-processed handling, and one-click undo while preserving originals.
Measures card audio and creates verified, volume-adjusted copies for consistent loudness, with batch, preview, automatic, and original-restoring options.
Generates local AI text-to-speech audio from selected text or notes using downloadable voices in about 25 languages, with playback and bulk saving to cards.
Inserts and plays audio/video from URLs or local files inline in the reviewer, converting formats via FFmpeg, with clipboard shortcuts, per-element playback settings, and orphaned-media cleanup.
Converts dollar MathJax delimiters to \(...\) and \[...\] forms in the Editor, selected Browser notes in bulk, and the current review note, preserving formatting and skipping rendered equations.
Converts dollar-sign LaTeX from AI text into Anki's MathJax format automatically on paste, and bulk-converts existing collections via a Tools menu item.
Converts videos or audio with subtitles into Anki cards split by scenes or phrases, with playback, mobile export and condensed audio support.
Sends audio clips exported from Audacity into Anki's add-cards, importing them as mp3 or m4a and using ffmpeg for conversion, with optional millisecond-precision filenames.
Turns Anki into a study workspace with an embedded AI sidebar, tabbed Qt WebEngine browser, keyboard shortcuts, bulk card creation, snippets, and auto-cloze tools.
Removes HTML formatting from Anki fields in bulk, either from all fields or a specific one, with an option to preserve line breaks.
Converts OGG and OPUS media files to MP3 using ffmpeg, running in the background and requiring ffmpeg installed on Windows, Ubuntu or macOS.