ParserData.com
Fiskl
DocParser
Snappin
Rossum
Bank Statement 2 CSV
Bank statement parser
Safeoid
TOML
JSON
YAML
Protocol Buffers
Messagepack
Eno
Avro
XML
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.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, TOML seems to be more popular. It has been mentiond 12 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.
Some 15 years ago, I made a small configuration language: https://github.com/Respect/Config/blob/master/docs/README.md -- You could say that is just a coincidence, and it's an obvious idea that anyone could have had. But then again, also around that time, a sibling component for the configuration language was featured on "The Changelog" (then, a very popular website featuring interesting projects).... - Source: Hacker News / about 1 year ago
Black uses by default the pyproject.toml file. This file contains a section for each different tool we want to use. The use of a configuration file like pyproject.toml is quite a good choice and helps the contributors to use the same tools and configurations you're using. - Source: dev.to / over 2 years ago
Accessing the rest of the relevant variables is based on the various sections in the toml file. For example, referencing the Production Service Account (SA) will be by accessing the SERVICE_ACCOUNT variable which is under the [prd] section. - Source: dev.to / about 4 years ago
In your project config file, set enableGitInfo to true (here, I’m showing the Hugo default of TOML, although my own config file is actually YAML):. - Source: dev.to / over 4 years ago
For config file use case I cannot recommend enough TOML. Source: over 4 years ago
Fiskl - Fiskl captures, automates and manages all your company's expenses and billing.
JSON - (JavaScript Object Notation) is a lightweight data-interchange format
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.
YAML - YAML 1.2 --- YAML: YAML Ain't Markup Language
Snappin - No more chasing receipts.
Protocol Buffers - A method for serializing and interchanging structured data.