ArangoDB
Redis
MongoDB
OrientDB
neo4j
Apache Cassandra
CouchBase
Azure Cosmos DB
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.
ArangoDB ParserData.comParserData.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, ArangoDB seems to be more popular. It has been mentiond 6 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.
If you like the document db idea there are a lot of choices, especially https://arangodb.com/ which I think gets little attention because people who use it see it as a secret weapon. Too bad about the license though. Also https://couchdb.apache.org/ and https://developer.marklogic.com/. - Source: Hacker News / about 2 years ago
ArangoDB is a multi-model database that supports document, key-value, and graph data models with a unified query language. - Source: dev.to / about 2 years ago
In modern databases, efficient data serialization and deserialization are paramount to achieving high performance. ArangoDB, a multi-model database, addresses this need with its innovative binary data format, VelocyPack. This article delves into the intricacies of VelocyPack, demonstrating its advantages, usage, and how it enhances the performance of ArangoDB with code examples in Java and Rust. - Source: dev.to / over 2 years ago
ArangoDB: A native multi-model database, it offers flexibility for documents, graphs, and key-values. This versatility makes it suitable for applications requiring a combination of these data models. - Source: dev.to / over 2 years ago
ArangoDB, a "multi-modal" database engine that stores arbitrary JSON documents like MongoDB, key/value data like Redis, and graph relationships like Neo4j — and lets you leverage all three kinds of data in a single query. Source: almost 4 years ago
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Fiskl - Fiskl captures, automates and manages all your company's expenses and billing.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
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.
OrientDB - OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.
Snappin - No more chasing receipts.