How FlixFluent works: everything explained in context
FlixFluent explains language in context. Instead of looking words up in a dictionary, it writes every word translation, explanation and sentence breakdown for the exact line on screen using the latest AI models, so the same word gets a different explanation in a different scene. Pronunciation comes from a leading text-to-speech engine and is generated for the word as it is said in that sentence, rather than read out by a robotic device voice. Underneath, FlixFluent runs its own language-processing pipeline (word segmentation, readings, romanization and caption repair) with dedicated handling for Japanese and for right-to-left Arabic and Hebrew.
At a glance
- Meanings never come from dictionary entries: translations and explanations are written for each sentence
- Uses the latest AI models for translations, explanations, breakdowns, quizzes and video levels
- Pronunciation from a leading text-to-speech engine, spoken as in the sentence
- Its own language-processing pipeline: segmentation, readings, romanization, caption repair
- Japanese: words split by morphological analysis, kanji readings per line, rōmaji, a placement test
- Arabic and Hebrew: right-to-left subtitles and prefix-and-suffix-aware breakdowns
- Results are cached per sentence and shared between learners
What does "in context" mean in FlixFluent?
Every explanation is written for the line you are looking at, with the lines around it as extra context.
When you hover a word, FlixFluent sends the word, its full sentence and the surrounding subtitle lines, and an AI model writes the translation that fits there. Clicking the word gives an explanation of its form, meaning and role in that sentence; clicking the sentence gives a breakdown of how the whole line works, with every part clickable for a deeper explanation (the digger). Flashcards keep the sentence and episode each word came from, and video quizzes are written from the lines you just watched.
The same word therefore gets different answers in different scenes. A dictionary entry lists every sense of a word and leaves you to pick one; FlixFluent explains the one in play, including slang, tone and the grammar around it. Results are cached per sentence, so everyone who meets the same line gets the same answer instantly.
For speed, the hover can briefly show a quick word-level translation from your browser before the in-context translation replaces it. Explanations, sentence breakdowns, saved flashcards and quizzes are always written for the sentence.
Which AI does FlixFluent use?
FlixFluent uses the latest AI models for translations, explanations, sentence breakdowns, quizzes and video levels.
Every generated text comes from large language models with prompts written per language, including dictionary-form rules for 23 languages and morpheme rules for languages such as Korean, Turkish, Arabic, Hebrew, Polish and Russian. Output is checked before you see it: text in the wrong script is filtered out, quiz questions must quote lines that really exist in the subtitles, and cached translations carry integrity checks so damaged entries are regenerated rather than shown.
Pronunciation audio comes from a leading text-to-speech engine. Each word is spoken the way it sounds in its sentence, so Chinese 还 is read hái or huán and Japanese 辛い karai or tsurai as the line requires. Each clip is generated once and cached; if audio cannot be generated, your device's built-in voice is used instead.
Does FlixFluent use a dictionary?
Not for meanings. Dictionaries are only used to split text into words and to show readings.
No translation or explanation comes from a dictionary entry. Where a language needs it, FlixFluent uses open-source language data to process text: the kuromoji morphological analyser and the JmdictFurigana reading data to split Japanese into words and resolve kanji readings, jieba to segment Chinese, and MeCab to find the base forms of Korean words on the server for flashcards and word lists. "My Dictionary" in the web app is simply your list of saved words.
FlixFluent's language-processing pipeline
Before anything reaches the AI, FlixFluent prepares the subtitles with its own pipeline.
Subtitles: the line you learn from always comes from the platform's own subtitle track. For the translation line, FlixFluent uses the platform's track in your language when its lines match the target lines one-to-one and a sample of lines checked by AI says the same thing; otherwise the whole line is AI-translated from the original, literally and cue for cue. Auto-generated YouTube captions are rebuilt from word fragments into sentences, lines the platform splits are merged, mislabelled tracks are detected from their script, and language codes are normalised.
Words: in unspaced scripts, text is split into real words (kuromoji for Japanese, with compound words grouped, and jieba for Chinese), so hovering and clicking work on whole words rather than single characters. On the server, language-specific tokenizers, including MeCab for Korean, find the base forms of words for flashcards and word lists.
Readings and romanization: Revised Romanization for Korean; pinyin with tone marks for Chinese, with Traditional characters converted first; rōmaji for Japanese built from kanji readings resolved per line; dedicated romanizers for Thai, Greek and Ukrainian; Hebrew when vowel points are present; and a general transliterator for other scripts such as Russian, Hindi and Arabic, shown only when it produces readable Latin text.
Japanese support
Japanese needs word splitting, kanji readings and reading-aware audio, and FlixFluent handles all three.
Japanese is written without spaces, so FlixFluent splits each line into words with morphological analysis, grouping compound words. Kanji readings are resolved per line, so the rōmaji shows the reading that sentence uses, and the pronunciation audio is generated with the same sentence. Word explanations give the dictionary form, and breakdowns separate particles and verb endings with their roles.
Japanese also has a placement test, video levels measure its pace in characters per minute, and quizzes handle unspaced text when they quote or blank out words. Readings are shown as rōmaji in the romanization line and in explanations, not as furigana above the kanji.
Arabic and Hebrew (right-to-left)
Arabic and Hebrew subtitles are shown right-to-left, and breakdowns follow how these languages build words.
For Arabic and Hebrew, the subtitle overlay switches to right-to-left, and Arabic or Hebrew words inside an explanation keep their direction even when the explanation itself is in a left-to-right language. Word breakdowns separate the prefixes and clitics attached to a word from its stem and suffixes: و ف س ب ل ال and the subject prefixes in Arabic; ו ה ב ל מ ש כש in Hebrew. The dictionary form is given as the root or masdar in Arabic and as the base form in Hebrew.
Hebrew is romanized only when the text carries vowel points, because unvocalised Hebrew cannot be transliterated reliably; Arabic gets a general transliteration. Arabic has a placement test. Persian and Urdu are not currently learnable languages in FlixFluent.
| What you see | How it is produced | Context used |
|---|---|---|
| Hover translation | AI translation of the word | The word, its full sentence and the surrounding lines |
| Word explanation | AI explanation of form, meaning and grammatical role | The word, its sentence and nearby subtitles |
| Sentence breakdown | AI breakdown chunk by chunk, every part clickable | The sentence and the lines around it |
| Translation line | The platform's own track in your language when it matches; otherwise AI translation | The original subtitles, batch by batch |
| Pronunciation | A leading text-to-speech engine | The sentence the word appears in |
| Video quiz | AI-written questions, translations and explanations | The lines you just watched and your CEFR level |
| Video level | AI rating of the subtitles plus speaking pace | Excerpts from the whole subtitle track |
| Language | Word splitting | Readings and romanization |
|---|---|---|
| Japanese | kuromoji morphological analysis, compounds grouped | Kanji readings per line (JmdictFurigana data), rōmaji |
| Chinese (Simplified, Traditional) | jieba segmentation | Pinyin with tone marks; Traditional converted first |
| Korean | Spaced words; particles and endings separated in breakdowns | Revised Romanization |
| Arabic | Breakdowns split clitics, stem and suffixes | General transliteration |
| Hebrew | Breakdowns split prefix letters, stem and suffixes | Only when vowel points are present |
| Thai, Greek, Ukrainian | — | Dedicated romanizers |
Frequently asked questions
- Does FlixFluent use a dictionary?
- Not for meanings. Every translation and explanation is written by AI for the sentence on screen. Open-source language data is used only to split text into words and show readings, for example kanji readings in Japanese.
- Which AI models does FlixFluent use?
- The latest AI models, for translations, explanations, sentence breakdowns, quizzes and video levels, with a leading text-to-speech engine for pronunciation. FlixFluent does not name the specific models.
- Why does the same word get different translations?
- Because each translation is written for the sentence it appears in, with the surrounding lines as context. The meaning that fits one scene is not always the meaning that fits another.
- How does FlixFluent pronounce words?
- With a leading text-to-speech engine, given the word together with its sentence, so multi-reading words come out the way that line says them. Each clip is cached; if generation fails, your device's built-in voice is used.
- Does FlixFluent show furigana for Japanese?
- Not as kana above the kanji. Readings are resolved per sentence and shown as rōmaji in the romanization line and in explanations.
- Does FlixFluent support Arabic and Hebrew?
- Yes. Subtitles are shown right-to-left, breakdowns separate prefixes, clitics, stem and suffixes, and the dictionary form is given as the root or base form. Arabic has a placement test. Hebrew is romanized only when it carries vowel points.
- How accurate are the explanations?
- High for common sentence patterns, occasionally imperfect on idioms, wordplay or archaic registers. Treat them as a strong starting point rather than the final word.
Related pages
Sources & further reading
Install FlixFluent
Add FlixFluent to Chrome and turn Netflix or YouTube into an interactive language lesson. 7-day free trial, 30-day money-back guarantee.
Install from Chrome Web Store