ParserData.com
Fiskl
DocParser
Snappin
Rossum
Bank Statement 2 CSV
Bank statement parser
Safeoid
Apache ZooKeeper
Microsoft IIS
Apache Tomcat
LiteSpeed Web Server
Apache HTTP Server
Forge
Phusion Passenger
Eclipse Jetty
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.com Apache ZooKeeperParserData.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, Apache ZooKeeper seems to be more popular. It has been mentiond 34 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.
Since the introduction of KRaft, Kafka no longer requires Apache ZooKeeper® for managing cluster metadata. It uses Kafka itself instead. One advantage of the new KRaft mode is that you can have a single Kafka broker to handle both metadata and client requests in a small, local development environment. The docker-compose.yml file for this tutorial uses this approach, leading to faster startup times and simpler... - Source: dev.to / 18 days ago
Next, Kafka requires Zookeeper and a broker. Instead of installing them manually, we use Docker Compose with this YAML file. - Source: dev.to / 7 months ago
Zookeeper is a distributed coordination service used in older versions of Kafka to manage cluster metadata, leader election, and configuration. It ensures consistency and synchronization across Kafka brokers. - Source: dev.to / over 1 year ago
Using a service discovery mechanism: A service discovery mechanism, such as etcd or ZooKeeper, can help to manage the complexity of microservices by providing a centralized registry of available services and their instances. - Source: dev.to / almost 2 years ago
Apache ZooKeeper: A centralized service to generate unique IDs and prevent race conditions between instances. - Source: dev.to / almost 2 years ago
Fiskl - Fiskl captures, automates and manages all your company's expenses and billing.
Microsoft IIS - Internet Information Services is a web server for Microsoft Windows
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.
Apache Tomcat - An open source software implementation of the Java Servlet and JavaServer Pages technologies
Snappin - No more chasing receipts.
LiteSpeed Web Server - LiteSpeed Web Server (LSWS) is a high-performance Apache drop-in replacement.