Realm.io
ObjectBox
Microsoft SQL Server Compact
CompactView
UnQLite
Clustrix
Microsoft SQL Server
VoltDB
ParserData.com
Fiskl
DocParser
Snappin
Rossum
Bank Statement 2 CSV
Bank statement parser
Safeoid
ParserData is an AI-powered SaaS platform designed to eliminate the time-consuming process of manual bookkeeping. We turn messy, unstructured financial documents into clean, structured data in seconds.
Why ParserData? * The "1 Click" Solution: We solve the "2 hours of routine vs 1 click" problem. * High-Precision AI: Our proprietary engine extracts data from invoices, receipts, and bank statements with near-perfect accuracy. * No Templates Required: Unlike traditional scrapers, our AI understands document context automatically.
Key Features: * Instant Export: Convert documents directly into Excel, XML, and JSON. * Visual Spend Analytics: Automatically generate dashboards and summaries of business expenses to make data-driven decisions. * Multilingual Support: Process financial documents in various languages seamlessly. * API for Developers: Easy integration for ERP and accounting software.
Reclaim up to 90% of your time spent on manual data entry and focus on growing your business with ParserData.
ParserData.comNo Realm.io videos yet. You could help us improve this page by suggesting one.
ParserData.com's answer:
Unlike traditional template-based scrapers, our tool uses context-aware AI that understands financial documents automatically. It doesn't just extract text; it provides visual spend analytics and dashboards, turning raw data into ready-to-use business insights immediately after parsing.
ParserData.com's answer:
The main reason is the ROI on time. We solve the "2 hours of routine vs 1 click" problem, saving users up to 90% of manual processing time. Our engine offers near-perfect 99%+ accuracy for complex multilingual invoices and bank statements, delivering data in Excel, XML, or JSON formats without the need for manual corrections.
ParserData.com's answer:
Our primary users are accounting professionals, finance departments, and SMB owners who are overwhelmed by manual data entry. We also serve SaaS developers and IT teams who need a reliable API to integrate high-precision financial data extraction into their own ERP or bookkeeping systems.
ParserData.com's answer:
The project was born out of a desire to eliminate the "financial mess" that many founders and accountants face daily. Leveraging an advanced engineering background, we decided to build a proprietary AI engine that could handle the complexity of unstructured financial documents more efficiently than existing legacy tools.
ParserData.com's answer:
The core of the platform is a proprietary AI-powered extraction engine combined with advanced OCR (Optical Character Recognition) technologies. The infrastructure is built as a scalable cloud-based SaaS, ensuring high-speed processing and secure data handling for all document types.
ParserData.com's answer:
We are currently trusted by a growing number of accounting firms and small-to-mid-size enterprises (SMEs) looking to scale their document processing. Our solution is particularly popular among digital-first businesses that require fast, automated expense tracking and visual spend reporting.
Based on our record, Realm.io seems to be more popular. It has been mentiond 25 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.
From the team at MongoDB comes Realm, a mobile database that runs directly inside phones, tablets, or wearables. It's built for mobile, and designed for offline use. The latest release comes with built-in Swift 6 language mode, and Xcode 16 support. Some breaking changes include removal of Atlas App Services and Atlas Device Sync functionality, Strings and Data now considered different types and thus queries won't... - Source: dev.to / almost 2 years ago
Looks really cool, I like to make very minimalistic dependency choices for the web apps I work on. Web Components look interesting and it's great to see frameworks that build upon it and provide features that are currently missing from it. When I landed on the page I remembered another Realm framework I used a lot long time ago. https://realm.io has the same name and the logo looks very similar too. Not sure if... - Source: Hacker News / almost 3 years ago
Realm is a fast, scalable alternative to SQLite with mobile to cloud data sync that makes building real-time, reactive mobile apps easy. - Source: dev.to / about 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
ObjectBox - ObjectBox empower edge computing with an edge device database and synchronization solution for Mobile & IoT. Store and sync data from edge to cloud.
Fiskl - Fiskl captures, automates and manages all your company's expenses and billing.
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.
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.
CompactView - Viewer for Microsoft® SQL Server® CE database files (sdf)
Snappin - No more chasing receipts.