englishcat

We also support real-time word injection of video subtitles for platforms such as YouTube, Netflix, and Bilibili.

Same here.

Great project, thanks

What's your next steps, do you plan to add more details of the reflow process?

Feel free to reach out — you can contact us via the email or Discord on our website.

Really interesting, does it totally based on gemini? seems the data is not accurate of my account.

That makes a lot of sense, it really highlights the diffences in learning stages. My current tool if primarily designed for intermediate language learners who have already learned some basic words, but still in the 'accumulation phase' - their main bottleneck is vocabulary size, so they need to see new words frequently.

it sounds like you are at a more advanced stage of learning Chinese, you have moved past simple vocab building and are focusing on flow and fluency reading. For your use case, that 'inverse' approach (Chinese with English safety nets) is definitely superior for pattern-matching, it's a different problem set, but a very valid one.

Appreciate your feedback.

This is quite a great idea, as a native Chinese speaker, i want to say this is the way very similar how we learned Chinese when we were kids.

On the other hand, the Chinese writing system is logographic (or ideographic), unlike the English system which is phonetic. The most basic characters, such as 日 (sun), 月 (moon), and 山 (mountain), are essentially graphics (or pictures) of the objects themselves. that makes them very suitable for being represented by images. The emoji you are using is also very good.

I believe this method should be very effective for beginners in Chinese. However, once you have mastered the basic Chinese characters, you can learn about the structure of Chinese characters and then continue reading more materials to expand your vocabulary.

The real challenge is to expand your vocabulary through extensive reading, i'm actually working on a tool to solve this specific problem (https://lingoku.ai/learn-chinese), If you are reading English, it will insert Chinese text for you, if your are reading Chinese text, it will translate the text from Chinese to English then inject Chinese words into the translated text, thus improving your vocabulary while reading.

Hope our product helps your learning journey, enjoy! Any feedback is welcome.

Fair point, the UI was partly AI-assisted, and the design is not our strongest area at the moment but something we are actively improving. Appreciate the feedback.

Thanks for your kind words, yes, but you can try the free version first, and if it's not enough, you can check the pricing plans if you like.

Thanks for pointing this out. You're absolutely right that 'Zero Privacy Trace' was a bit too absolute.

I’ve just updated the website to be more precise: we use enterprise-grade APIs where they said data is not used for training by default, and we don't log any original content on our own servers.

We also only send the specific text snippets needed for processing to minimize exposure. I really appreciate the feedback, it helps make the project better!

I can totally understand your concerns.

At the moment, Lingoku browser extension does send text to LLms for processing, we don't sell user data, but i agree that simply saying 'trust us' isn't sufficient.

Supporting local LLM is something we are actively considering, though there are still real constraints on the user experience.

Thanks, We now support cross-language learning between for languages (English, Japanese, Korean and Chinese), hope could help you.

Thanks for you feedback, agreed.

The current version of word definition is somewhat rudimentary. right now we supported four languages(English, Chinese, Japanese, Korean), but we dont take much time to optimize for each language yet.

Our thought is that we will have a shared template across all the learning language, but also have abilities to customize the word definition template for language-specific needs.

Same here, i also want to have a try.

BTW, i like the blog

I don't know a tool like this.

But this feature seems to be a fairly common requirement; we can consider add a switcher to implementing it.

You're absolutely right, we typically spend more time our our phones for most people. we're also preparing to port this feature to mobile, possibly based on the mobile version of Firefox browser.

Thanks for your feedback, appreciate it.

I tried the above words in Chrome, and got the same problem. sorry about that, our tool is far from perfect. this is a bug in the extension, we will fix it asap.

I have a deep understanding of this point, a lack of vocabulary makes reading Japanese materials very difficult.

For this scenario, we will translate the Japanese text completely into English first, then inject japanese words in to the english text, the translated text with the injected Japanese words is displayed next to the original material.

This is the main feature I've been using myself, you can try it out and see if it's the feature you want.

we've considered using local llm, but the problem is that for a better user experience, we will add user's new vocabulary list, then inject words based on the list, it's hard to do this on local.

We will seriourly consider the point of support local llm, this will also allow more users to utilize our basic functions.

Thanks for the feedback, actually we use furigana to show the pronunciation, we use LLM to produce the word explanation, this may be due to LLM instability, could you help tell me the word of this case on your side.

Thanks for feedback, in some cases, we use a NLP lib to detect to language of the word since we support multiple languages, this may be due to language detection failed on some words.

Thanks for your feedback!

LLM's makes this kind of words substitution more easier and accurate. we have also tried some methods like NLP, but effect is mediocre, but if we want use it in specific scenarios, NLP maybe more efficient.

The website's visual design definitely needs improvement. we are currently work on it.

Thanks for your asking.

Yes, we will prioritize support for Safari, Opera, and Arc. Support for other browsers will be added as needed.

Really appreciate your feedback! we may have overlooked this when handling multilingual support, and we will optimize it in the next version.

Thanks for checking this out — short context: I’m a backend dev, iterated ~30 times using Gemini 3 Pro for critique. If you reply, please tell me:

Does it read/professionally look the part?

Top 3 changes you’d make.

One prompt or tool I should try next.

I’ll apply suggestions and post an update — much appreciated.