Flox
devenv
NixOS
Codify CLI
Showly OSS
Daytona
Simkl
ASDF
DocParser
Nanonets
Parseur.com
Rossum
Docsumo
FlexiCapture
DocuClipper
Parsio.io
DocParserDocParser might be a bit more popular than Flox. We know about 14 links to it since March 2021 and only 12 links to Flox. 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.
First I'm hearing of devenv, seems quite similar to flox[1]. I wonder what sets it apart, as there's quite a few overlapping features? [1] https://flox.dev/. - Source: Hacker News / 2 months ago
Technically its performance is a bit slower than CachyOS, and some of the package versions can be a bit behind as well (like Mesa or the kernel), which can contribute to the slowness. Flatpaks work fine though for the most part. I would recommend CachyOS if you're after raw performance and you're technically inclined, and don't mind ocassionally going into the terminal to fix something or do some maintenance... - Source: Hacker News / 8 months ago
Another Nix based alternative.. https://flox.dev/. - Source: Hacker News / 10 months ago
- `flox activate` -> get to work The reason we call these "environments" instead of "developer environments" is that what we provide is a generalization of developer environments, so they're useful in more than just local development contexts. For example, you can use Flox to replace Homebrew by creating a "default" environment in your home directory [2]. You can also bundle an environment up into a container [3]... - Source: Hacker News / about 1 year ago
Is the objective to get inside a container to do dev stuff? Reminds me of https://www.jetify.com/devbox and https://flox.dev/. - Source: Hacker News / over 1 year ago
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: about 3 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 3 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: over 3 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: over 3 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 3 years ago
devenv - Fast, Declarative, Reproducible, and Composable dev envs
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNetsโ platform makes it straightforward and fast to create highly accurate Deep Learning models.
NixOS - 25 Jun 2014 . All software components in NixOS are installed using the Nix package manager. Packages in Nix are defined using the nix language to create nix expressions.
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
Codify CLI - Standardize your tools and settings with Codify to eliminate manual setups and keep your entire team perfectly in sync.
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.
