macOCR
zsv
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macOCR
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I've just released TextShot, a *free* macOS app that makes copying text from images as easy as taking a screenshot
I love using macOCR it is a command line tool though, but I bind it to a keyboard shortcut using BetterTouchTool, although you could also use Raycast, Alfred, etc to run it
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NormCap: OCR powered screen-capture tool
Mac only but I am a happy user and can recommend
https://github.com/schappim/macOCR
Just rediscovered the Shortcuts a couple days ago while installing it on a friend's mac.
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Ask HN: Those making $0/month or less on side projects – Show and tell
Introducing macOCR - a command line tool that revolutionizes how you capture text on your screen!
With just one command, you can instantly convert any text on your screen into text on your clipboard, making it easy to use in any app or program. Plus, with support for popular launcher apps like Alfred, LaunchBar, and Hammerspoon, it's never been easier to access the power of macOCR.
And if you're feeling really advanced, you can even use it to feed data into an OpenAI large language model for advanced text processing.
Upgrade your text capture game with macOCR today!
Price: $0
MRR: $0
Copy reworked by: GPT
Prompt: “Rewrite for hacker news upvotes:”
URL: https://github.com/schappim/macOCR
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Building an Internet Scale Meme Search Engine
Pretty insane. If you don’t want to use iPhones, I made a while back macOCR which uses the same vision APIs, with a very simple CLI interface. See: https://github.com/schappim/macOCR
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Ask HN: Programs that saved you 100 hours? (2022 edition)
https://github.com/schappim/macOCR - Get any text on your screen into your clipboard
- MacOCR – command line OCR app for macOS
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Less known macOS apps you will legitimately want to use every day
And if you want to invoke it from Terminal: https://github.com/schappim/macOCR
- Asking Siri to hold a number in memory?
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Ask HN: Tools you have made for yourself?
I wrote a free Mac app to OCR any text on screen[1].
macOCR is a command line app that enables you to turn any text on your screen into text on your clipboard. When you envoke the ocr command, a "screen capture" like cursor is shown. Any text within the bounds will be converted to text.
You could invoke the app using the likes of Alfred.app, LaunchBar, Hammerspoon, Quicksilver, Raycast etc.
[1] https://github.com/schappim/macOCR
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🧢 Stefan's Web Weekly #20
schappim/macOCR – Get any text on your screen into your clipboard.
zsv
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Analyzing multi-gigabyte JSON files locally
If it could be tabular in nature, maybe convert to sqlite3 so you can make use of indexing, or CSV to make use of high-performance tools like xsv or zsv (the latter of which I'm an author).
https://github.com/BurntSushi/xsv
https://github.com/liquidaty/zsv/blob/main/docs/csv_json_sql...
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Show HN: Up to 100x Faster FastAPI with simdjson and io_uring on Linux 5.19
Parsing CSV doesn't have to be slow if you use something like xsv or zsv (https://github.com/liquidaty/zsv) (disclaimer: I'm an author). The speed of CSV parsers is fast enough that unless you are doing something ultra-trivial such as "count rows", your bottleneck will be elsewhere.
The benefits of CSV are:
- human readable
- does not need to be typed (sometimes, data in the raw such as date-formatted data is not amenable to typing without introducing a pre-processing layer that gets you further from the original data)
- accessible to anyone: you don't need to be a data person to dbl-click and open in Excel or similar
The main drawback is that if your data is already typed, CSV does not communicate what the type is. You can alleviate this through various approaches such as is described at https://github.com/liquidaty/zsv/blob/main/docs/csv_json_sql..., though I wouldn't disagree that if you can be assured that your starting data conforms to non-text data types, there are probably better formats than CSV.
The main benefit of Arrow, IMHO, is less as a format for transmitting / communicating but rather as a format for data at rest, that would benefit from having higher performance column-based read and compression
- Yq is a portable yq: command-line YAML, JSON, XML, CSV and properties processor
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csvkit: Command-line tools for working with CSV
I wanted so much to use csvkit and all the features it had, but its horrendous performance made it unscalable and therefore the more I used it, the more technical debt I accumulated.
This was one of the reasons I wrote zsv (https://github.com/liquidaty/zsv). Maybe csvkit could incorporate the zsv engine and we could get the best of both worlds?
Examples (using majestic million csv):
---
- Ask HN: Programs that saved you 100 hours? (2022 edition)
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Show HN: Split CSV into multiple files to avoid the Excel's 1M row limitation
}
```
This of course assumes that each line is a single record, so you'll need some preprocessing if your CSV might contain embedded line-ends. For the preprocessing, you can use something like the `2tsv` command of https://github.com/liquidaty/zsv (disclaimer: I'm its author), which converts CSV to TSV and replaces newline with \n.
You can also use something like `xsv split` (see https://lib.rs/crates/xsv) which frankly is probably your best option as of today (though zsv will be getting its own shard command soon)
- Run SQL on CSV, Parquet, JSON, Arrow, Unix Pipes and Google Sheet
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Ask HN: Best way to find help creating technical doc (open- or closed-source)?
Am looking for one-time help creating documentation (e.g. man pages, tutorials) for open source project (e.g. https://github.com/liquidaty/zsv) as well as product documentation for commercial products, but not enough need for a full-time job. Requires familiarity with, for lack of better term, data janitorial work, and preferably with methods of auto-generating documentation. Any suggestions as to forums or other ways to find folks who might fit the bill for ad-hoc or part-time work of this nature?
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Q – Run SQL Directly on CSV or TSV Files
Nice work. I am a fan of tools like this and look forward to giving this a try.
However, in my first attempted query (version 3.1.6 on MacOS), I ran into significant performance limitations and more importantly, it did not give correct output.
In particular, running on a narrow table with 1mm rows (the same one used in the xsv examples) using the command "select country, count() from worldcitiespop_mil.csv group by country" takes 12 seconds just to get an incorrect error 'no such column: country'.
using sqlite3, it takes two seconds or so to load, and less than a second to run, and gives me the correct result.
Using https://github.com/liquidaty/zsv (disclaimer, I'm one of its authors), I get the correct results in 0.95 seconds with the one-liner `zsv sql 'select country, count() from data group by country' worldcitiespop_mil.csv`.
I look forward to trying it again sometime soon
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A Trillion Prices
All this banter arguing over CSV, JSON, sqlite seems unnecessary when you can just push format X through a pipe and get whichever format Y you want back out: https://github.com/liquidaty/zsv/blob/main/docs/csv_json_sql...
(disclaimer: I'm one of the zsv authors)
What are some alternatives?
OCRmyPDF - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
visidata - A terminal spreadsheet multitool for discovering and arranging data
flameshot - Powerful yet simple to use screenshot software :desktop_computer: :camera_flash:
duckdb - DuckDB is an in-process SQL OLAP Database Management System
bitbar - Put the output from any script or program into your macOS Menu Bar (the BitBar reboot)
lnav - Log file navigator
TRex - Copy any text on your screen, stop retyping.
tsv-utils - eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.
ossdatabase - Source for ossdatabase.com
ClickHouse - ClickHouse® is a free analytics DBMS for big data
ping-heatmap - A tool for displaying subsecond offset heatmaps of ICMP ping latency
nio - Low Overhead Numerical/Native IO library & tools