Swift
Kotlin
Elixir
Perl
C++
Python
Dart
Go Programming Language
DocParser
FlexiCapture
Amazon Textract
Docsumo
Parseur.com
IBM Datacap
PaperPort Professional
Altair Monarch
We recommend LibHunt Swift for discovery and comparisons of trending Swift projects.
Swift DocParserBased on our record, Swift should be more popular than DocParser. It has been mentiond 27 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.
The raisons d'être between the CLR (and C#) and Swift are entirely different. Apple has explicitly set out to adopt swift as a successor language to C, Objective-C, C++, and Objective-C++[0][1]. This stands in stark contrast to Microsoft's vision for the CLR, which was… to be a better Java, more or less? (Does anyone actually know what the .NET initiative was all about? Microsoft went absolutely ham on it... - Source: Hacker News / 5 months ago
What part of the coding universe are you interested in? Swift? React? Fission Ecosystem? Source: 5 months ago
-- https://developer.apple.com/swift/ They also mention plans for kernel and firmware targets on that talk. - Source: Hacker News / 7 months ago
Not for Apple, > Swift was designed from the outset to be safer than C-based languages, and eliminates entire classes of unsafe code. -- https://www.swift.org/about/ > Swift is a successor to the C, C++, and Objective-C languages -- https://developer.apple.com/swift/. - Source: Hacker News / 7 months ago
Other popular mobile app libraries and languages include Swift, Kotlin, and React Native. Swift is a programming language developed by Apple that is used for iOS and macOS development. Kotlin is a programming language developed by JetBrains that is used for Android development. React Native is a JavaScript framework developed by Facebook that enables developers to build mobile applications for iOS and Android... - Source: dev.to / 11 months ago
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: 11 months 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: 12 months 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 1 year 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 1 year 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: about 1 year ago
Kotlin - Statically typed Programming Language targeting JVM and JavaScript
FlexiCapture - ABBYY FlexiCapture brings together the best NLP, machine learning, and advanced recognition capabilities into a single, enterprise-scale platform to handle every type of document. Available in the Cloud, on premise or as SDK.
Elixir - Dynamic, functional language designed for building scalable and maintainable applications
Amazon Textract - Easily extract text and data from virtually any document using Amazon Textract. Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.
Perl - Highly capable, feature-rich programming language with over 26 years of development
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.