Hey, loved it. How much time it took to develop this?
Project Naptha
31–40 of 90 posts
Re: Project Naptha
#32Nice! This works slightly better than apple's version, which makes it very hard to select the main image, once it detects text in the image. Naphtha seems to handle this correctly!
Re: Project Naptha
#33> Unfortunately, your browser is not yet supported
Safari on macOS.
Re: Project Naptha
#34I thought this seemed familiar. Discussed on HN 3 years ago [0]
I remember using this for a while on a separate Chrome profile. It was quite useful, albeit quite CPU intensive.
Re: Project Naptha
#35This makes me feel old. I saw it for the first time in 2014 on HN, just when it was announced. I felt kind of envious of Kevin Kwok, author of this project. I had just graduated and he was still an undergrad. He had already shipped so many complex projects, including a full-fledged Flash Animator[1] for the web. It's pretty surprising to see that his site hasn't been updated since 2015 and not many projects have been…
Ahh, I did an Algolia search just now and found the 2019 post[0] but thought that felt a bit recent for what I remember. I can't find that 2014 post, however - do you have a link?
Re: Project Naptha
#36What I would really like is a little bit like this but not quite the same: full text search over everything I have ever seen on the computer. It would read and index the emails, web pages, word docs, etc as I open them, then later when I think "I know I saw a doc about cache oblivious algorithms", I can search for it without being distracted by 100K documents I haven't seen. Or I can find that email I read, without f…
For Windows, Google used to have something like that. Because it's Google, it has since been discontinued [1].
Mac's finder is close to what you have described, and works reasonably well for me.
On Unix, this sounds like something a grep one-liner (maybe with some document depacking/packing pipe for Office documents) would do.
Re: Project Naptha
#37> Unfortunately, your browser is not yet supported Safari on macOS.
Safari has its own, built-in implementation of that called Live Text since last year. Just try highlighting any text in the image and voila - it works.
https://support.apple.com/en-au/guide/preview/prvw625a5b2c/m...
Re: Project Naptha
#38This extension is a privacy nightmare. "By default, when you begin selecting text, it sends a secure HTTPS request containing the URL of the specific image... The server responds with a list of existing translations and OCR languages that have been done."
That is some pretty sensitive data to keep around. There seems to be some rudimentary thinking around privacy: "no user tokens, no website information, no cookies or analytics" Yet keeping an index of all the image requests from any IP would not pass muster by any GDPR lawyer I have met.
http://my-support-group/advice-for-disease.jpg http://my-political-group/campaign-ideas.jpg http://my-therapy-group/suicide-prevention.jpg
https://ec.europa.eu/info/law/law-topic/data-protection/refo...
Re: Project Naptha
#39Earlier quoted context omitted.
I think windows and Mac both do this by default, no? Just disable the web search and your local full text is what you're left with.
I believe they meant they want something that searches only content the user has personally directly accessed, not ALL local content.
Ordering by "Date Last Opened" or "Date Modified" does a fairly good job in some cases
Re: Project Naptha
#40What I would really like is a little bit like this but not quite the same: full text search over everything I have ever seen on the computer. It would read and index the emails, web pages, word docs, etc as I open them, then later when I think "I know I saw a doc about cache oblivious algorithms", I can search for it without being distracted by 100K documents I haven't seen. Or I can find that email I read, without f…
I've seen this been called a 'personal search engine' before. One person who is well known for their personal search setup is thesephist[0]. My friend is also working on an extension that uses NLP to semantically index your browsing history so that any text on the internet can be turned into a hyperlink to something else you've read[1].
[0]: https://thesephist.com/posts/monocle/
[1]: (WIP) http://espial.uzpg.me