DocParser
Nanonets
Parseur.com
Rossum
Docsumo
DocuClipper
FlexiCapture
Parsio.io
ObjectBox
Realm.io
Microsoft SQL Server Compact
CompactView
UnQLite
VoltDB
HSQLDB
NuoDB
ObjectBox is a super fast database and sychronization solution, built uniquely for Mobile and IoT devices. ObjectBox is uniquely designed for small devices, so it is the ideal solution across hardware from Mobile Apps, to IoT Devices and IoT Gateways. It is the first high-performance NoSQL, ACID-compliant on-device edge database. Plus, it's built with developers in mind, with easy to use code that takes minimal time to implement.
ObjectBox supports Java, C/C++, Go, Kotlin, Swift and Python. Running on Android, Mac/iOS, Windows, Linux, Raspbian & more.
DocParserBased on our record, DocParser should be more popular than ObjectBox. It has been mentiond 14 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.
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
Need to sync your MongoDB database and your offline-first apps? In this tutorial, we'll walk you through setting up an end-to-end demonstration of bi-directional data sync between local ObjectBox databases on client devices and a MongoDB Atlas cluster. Together, we'll build a system that ensures offline-first functionality while keeping data in sync across devices and databases. - Source: dev.to / 8 months ago
It would be great to have the vector database run on the edge / on-device for offline-first and privacy-focused. https://objectbox.io/ does a good job of this but are there others? - Source: Hacker News / 12 months ago
When I first attempted to publish to F-Droid, I experienced several pipeline issues. After reading through the pipeline logs in GitLab, I realized that my application's database (ObjectBox) was not entirely FOSS compliant and was causing build failures. The following day was spent migrating my app to Room. - Source: dev.to / almost 3 years ago
I would focus on Kotlin instead of Java, there's really no point in sticking to Java at this point. And when it comes to databases, some local ones that are pretty easy to get into are Realm and ObjectBox, SQLite can definitely be a bit overwhelming at the beginning. Source: over 3 years ago
Just to add to this, there's also Realm and ObjectBox as alternatives. Source: over 3 years ago
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Realm.io - Realm is a mobile platform and a replacement for SQLite & Core Data. Build offline-first, reactive mobile experiences using simple data sync.
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
Microsoft SQL Server Compact - Bring Microsoft SQL Server 2017 to the platform of your choice. Use SQL Server 2017 on Windows, Linux, and Docker containers.
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.
CompactView - Viewer for Microsoft® SQL Server® CE database files (sdf)