Hyper VS DocParser
Compare Hyper VS DocParser and see what are their differences
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featured
Hyper
iTerm2
MobaXterm
Windows Terminal
Tabby.sh
KiTTY
PuTTY
ConEmu
DocParser
Nanonets
Docsumo
Rossum
Parseur.com
Invoice Data Extraction
Nanonets OCR
DocuClipper
DocParserBased on our record, Hyper should be more popular than DocParser. It has been mentiond 45 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I wish open-source projects checked to see if other projects share the same name. Especially since there are packages in NPM already about hyper. https://hyper.is/ has been around for a while and is kind of big. - Source: Hacker News / 20 days ago
WARP First thing, we need to choose the best terminal app to do this, I usually use one called Hyper Term, but in the last months I've been using another one called Warp terminal, I started to use it because it is an AI powered terminal, basically we can use the terminal AI to get the best bash commands, and improve ours shell scripts and commands, that why I chose it for this tutorial. So we need to download it. - Source: dev.to / 8 months ago
A modern terminal shell such as zsh, iTerm2 with oh-my-zsh for Mac, or Hyper for Windows. - Source: dev.to / 12 months ago
I am using iTerm2 on my macOS. Other available options are Hyper and VS Code’s inbuilt terminal, which I sometimes use for quick tests. You can open a terminal in VS Code by using the keyboard shortcut CMD + J or CTRL + J on Windows, or View → Terminal. - Source: dev.to / about 1 year ago
I think that’s more or less what this project is working towards: https://hyper.is. - Source: Hacker News / over 1 year ago
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: almost 2 years ago
DocParser: DocParser simplifies the extraction of structured data from various file formats, such as PDFs and scanned documents, directly into Google Sheets. By automating this process, DocParser saves valuable time and effort otherwise spent on manual data entry. Link to DocParser. Source: about 2 years ago
There are several tools available today that can help you extract tables from PDF files (such as Tabula), or even parse PDFs into structured JSON using AI (like Parsio -> I'm the founder) or without AI (like Docparser). Source: about 2 years ago
Thank you for sharing those! I didn't know them I've only checked this one https://docparser.com/ and I think my solution could be better because it will be easier for the user. Source: about 2 years ago
As previously suggested, if the layout of your PDFs never changes (consistent column widths in tables and placement), you can use a zonal PDF parser like DocParser. Alternatively, an AI-powered parser may be a better choice. Source: over 2 years ago
iTerm2 - A terminal emulator for macOS that does amazing things.
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.
MobaXterm - Enhanced terminal for Windows with X11 server, tabbed SSH client, network tools and much more
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
Windows Terminal - A new command line interface for Windows machines
Rossum - Rossum is AI-powered, cloud-based invoice data capture service that speeds up invoice processing 6x, with up to 98% accuracy. It can be easily customized, integrated and scaled according to your company needs.