It's great that these tools exist. Thanks for sharing.
I use this which combines languagetools, libre translate and openwebui for your local AI needs
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It's great that these tools exist. Thanks for sharing.
I use this which combines languagetools, libre translate and openwebui for your local AI needs
Hi, this look great ! But what's the difference with https://github.com/sonnyp/Eloquent/ ?
Looks like it is an actual LanguageTool server so it uses all the clients from them. They have tons of integrations that help a lot.
Source: using 3 languages every day while one of them Iโm still shit and need this tool to not look like an idiot with no grammar
But why use many word when few do trick?
โI apologize for such a long letter - I didn't have time to write a short one.โ โ Mark Twain
That looks like a rad project with lots of thought and effort put into it. The author created a Gjs app to host LanguageTool inside which makes it much more user-friendly for people that don't have docker.
I took a much lazier approach by using docker and not really writing any code.
Isn't the issue with the different selfhosted variants that the official version has more language rules available?
Yeah I'm confused, isnt language tool also already open source? Nothing on the above repo explains the difference. Official language tool server can be found below
Running LanguageTool locally is a bit of a pain, with some manual steps. Plus you have to fetch some data files. You can find around a few projects like this one to make it easier to run LanguageTool.
And yes, as the poster mentioned, LanguageTool keeps some code exclusive to their paid version. There's a bit of a tension because they ask people not to extend OSS LanguageTool with their paid features.
There's also this interesting clone, but it seems abandoned.
Please tell me it can spell better than grammarly. That website REALLY shows its roots.
It seems to be some kind of AI that polishes your writing style, helps change tone of the text etc.
any idea about the system requirements?
Looks like it wires 2 GB of RAM for the java process. I run it on a MacBook Air with 24 GB of RAM and I don't notice it.