TOML
JSON
YAML
Protocol Buffers
Messagepack
Eno
Avro
XML
DocParser
Nanonets
Parseur.com
Rossum
Docsumo
DocuClipper
FlexiCapture
Parsio.io
DocParserDocParser might be a bit more popular than TOML. We know about 14 links to it since March 2021 and only 12 links to TOML. 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.
Some 15 years ago, I made a small configuration language: https://github.com/Respect/Config/blob/master/docs/README.md -- You could say that is just a coincidence, and it's an obvious idea that anyone could have had. But then again, also around that time, a sibling component for the configuration language was featured on "The Changelog" (then, a very popular website featuring interesting projects).... - Source: Hacker News / about 1 year ago
Black uses by default the pyproject.toml file. This file contains a section for each different tool we want to use. The use of a configuration file like pyproject.toml is quite a good choice and helps the contributors to use the same tools and configurations you're using. - Source: dev.to / over 2 years ago
Accessing the rest of the relevant variables is based on the various sections in the toml file. For example, referencing the Production Service Account (SA) will be by accessing the SERVICE_ACCOUNT variable which is under the [prd] section. - Source: dev.to / about 4 years ago
In your project config file, set enableGitInfo to true (here, I’m showing the Hugo default of TOML, although my own config file is actually YAML):. - Source: dev.to / over 4 years ago
For config file use case I cannot recommend enough TOML. Source: over 4 years 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: over 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
JSON - (JavaScript Object Notation) is a lightweight data-interchange format
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.
YAML - YAML 1.2 --- YAML: YAML Ain't Markup Language
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
Protocol Buffers - A method for serializing and interchanging structured data.
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.