4 items
Context-aware grammar and native rewrites in any app, with smart YouTube subtitles, instant definitions, and saved words. Theora is an AI toolkit for people who work and live in English as a second language. It does more than fix grammar — it makes your writing both correct and native-sounding, understands the context around what you write, and helps you pick up the language as you go. ✨ What it does: • Correct and native-sounding — select any text and choose "Make it sound native": Natively fixes the grammar AND rewrites it to read like a native speaker wrote it, not just technically correct. It reads the surrounding context, so each correction fits your meaning and tone — in Slack, Gmail, Notion, and any text field on any site. • Smart subtitles on YouTube — tap any word or phrase right in the subtitles to see what it means in the context of that exact sentence, without leaving the player. • Instant definitions in context — look up any unfamiliar word and get its meaning explained for the sentence you found it in, not a generic dictionary entry. • Remember new words — save the words you look up together with where you saw them, and review them later so they actually stick instead of being forgotten. • Translate instantly — get fast translations right where you read and write. • Works offline — with local AI, corrections, translation, and word lookups run entirely on your device, so it keeps working on a plane or anywhere without Wi-Fi. 🎯 Built for: • Professionals writing emails, Slack messages, and docs in English • People on international teams who want to sound clear and confident • Learners who want to improve their English from real content, not textbook
Aug 24, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.