
ObjectBox
Realm.io
Microsoft SQL Server Compact
CompactView
UnQLite
VoltDB
HSQLDB
NuoDB
Rossum
DocParser
Nanonets
Docsumo
Parseur.com
Veryfi
FlexiCapture
Klippa
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.
RossumBased on our record, ObjectBox should be more popular than Rossum. It has been mentiond 9 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.
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
Embrace the AI bubble: https://rossum.ai/ (I'm not affiliated). Source: about 3 years ago
Now my main point (no, not IBM cloud services !) An other way is desktop tool/cloud tool that are OCR dedicated to "formatted documents" like ROSSUM or KLIPPA and... (https://rossum.ai/, https://www.klippa.com/en/ocr/identity-documents/driving-licenses). The idea, if I remember well the business model, is like a lot of small companies need all to make OCR on the same type of documents you can pre-learn an IA then... Source: almost 4 years ago
You should check out https://rossum.ai/ I think their product fits your usecase. Source: about 4 years ago
I have seen some site like https://rossum.ai/ and while I think it is very difficult is there a way to improve it like them ? Source: almost 5 years ago
Realm.io - Realm is a mobile platform and a replacement for SQLite & Core Data. Build offline-first, reactive mobile experiences using simple data sync.
DocParser - Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.
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.
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.
CompactView - Viewer for Microsoft® SQL Server® CE database files (sdf)
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.