mrkn1

5 ms·

1.
Show HN: Yapsnap – transcribe anything with audio, no GPU, no language flag(github.com)
1 points by mrkn1 1d ago|0 comments
2.
by mrkn1 2mo ago
fwiw kimchi-derived probiotic bacterium (Leuconostoc mesenteroides CBA3656) was shown to bind nanoplastics and help mice excrete more of them. But it’s not yet proven that eating kimchi removes microplastics from humans
3.
by mrkn1 3mo ago
Has anyone tried the others listed? Any feedback?
4.
Self-proclaimed King of Switzerland uses loophole to build his empire for free(france24.com)
4 points by mrkn1 3mo ago|0 comments
5.
Self-proclaimed King of Switzerland uses loophole to build his empire for free(france24.com)
6 points by mrkn1 3mo ago|0 comments
6.
by mrkn1 3mo ago
This runs for free on CPU https://github.com/kouhxp/textsnap
7.
by mrkn1 3mo ago
The key moments feat is neat. Been working on a free opensource offline transcriber that runs fast on CPU and does diarization too https://github.com/kouhxp/yapsnap
8.
Show HN: Recreate Thinking Machines 276B voice demo with duct tape and 8B model(github.com)
3 points by mrkn1 3mo ago|0 comments
9.
Show HN: Realtime voice agent that sees, hears, and interrupts – on a CPU laptop(github.com)
1 points by mrkn1 3mo ago|1 comments
10.
Show HN: A CLI that fact-checks text using a 500MB local model and web search(github.com)
1 points by mrkn1 3mo ago|0 comments
11.
Show HN: Free summary, fact check, ELI5 of any text on CPU(github.com)
2 points by mrkn1 3mo ago|0 comments
12.
Show HN: fftext - quick summary, fact check, ELI5 on CPU(github.com)
1 points by mrkn1 3mo ago|0 comments
13.
Show HN: Fact check, summarize, explain any article or webpage on local CPU(github.com)
5 points by mrkn1 3mo ago|0 comments
14.
by mrkn1 3mo ago
No rigorous eval, and I love Tesseract. Here's the example that motivated me to build textsnap (which is in the github's README), parsed with Tesseract: https://imgur.com/a/i2eQra8
15.
by mrkn1 3mo ago
No reason other than their Q4 model working reasonably well and fast on my CPU laptop. Should work with any ONNX VLM model
16.
by mrkn1 3mo ago
109 languages, including other alphabets.
17.
by mrkn1 3mo ago
Just ran textsnap "https://i.ytimg.com/vi/LBNDfxjEYlA/maxresdefault.jpg" and got this $('.count').each(function () { $('this').prop('Counter', 0).animate({ Co
18.
by mrkn1 3mo ago
thank you!
19.
by mrkn1 3mo ago
thank you! what is it about?
20.
Show HN: Local-first fast CPU image to text for screenshots, PDFs, webpages(github.com)
19 points by mrkn1 3mo ago|17 comments
21.
Show HN: CPU-only fact-check, summarize, explain, translate any text(github.com)
2 points by mrkn1 4mo ago|0 comments
22.
by mrkn1 4mo ago
I have not. My experience has been a few seconds for an 1024x1024 with medium density of text, FWIW. Feel free to try it on a few test images, model is pretty small and fast, but yeah no formal evals on CPU.
23.
Show HN: CPU-only fact-check, summarize, explain, translate anything(github.com)
3 points by mrkn1 4mo ago|0 comments
24.
by mrkn1 4mo ago
It should support 109 languages. More info here: https://huggingface.co/PaddlePaddle/PaddleOCR-VL
25.
Show HN: CPU-only fact-check, summarize, explain, translate anything(github.com)
3 points by mrkn1 4mo ago|0 comments
26.
by mrkn1 4mo ago
No, simply, my laptop only has a CPU.
27.
by mrkn1 4mo ago
I haven't. But the evals of the underlying model are published here, including on Omnibench. https://huggingface.co/PaddlePaddle/PaddleOCR-VL-1.5
28.
Show HN: CPU-only fast OCR for screenshots, images, PDFs, webpages(github.com)
9 points by mrkn1 4mo ago|8 comments
29.
Show HN: CPU model for fact-checking, summarizing, explaining text locally(github.com)
1 points by mrkn1 4mo ago|0 comments
30.
Show HN: Local CPU OCR for images, PDFs, webpages(github.com)
3 points by mrkn1 4mo ago|0 comments

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