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ParserData.com
Fiskl
DocParser
Snappin
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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.
Nim (programming language)
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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, Nim (programming language) seems to be more popular. It has been mentiond 163 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.
That's actually a great argument for Nim[0]. Easy interop with C, native-speed performance, and a syntax very close to Python in both readability and how quickly you can get something working. Batteries included, automatic memory management without a conventional GC and metaprogramming - is a really cool combination. [0] - https://nim-lang.org/. - Source: Hacker News / about 2 months ago
Coincidentally, just a few days ago, I tried to run Nim[0] on Windows XP as an experiment. And to my surprise, the latest 32-bit release of Nim simply works out the box. But Nim compiles to C, so I also needed C compiler and all modern versions of mingw failed to launch. After some time I managed to find very old Mingw (gcc 4.7.1) that have finally worked [0]. [0] - https://nim-lang.org/ [1] -... - Source: Hacker News / 6 months ago
You can replace Python with Nim. It checks literally all your marks (expressive, fast, compiled, strong-typing). It's as concise as Python, and IMO, Nim syntax is even more flexible. https://nim-lang.org. - Source: Hacker News / 7 months ago
Have you tried Nim? Strong and static typed, versatile, compiles down to native code vรญa C, interops with C trivially, has macros and stuff to twist your brain if you're into that, and is trivially easy to get into. https://nim-lang.org. - Source: Hacker News / 7 months ago
If a script is simple - I use posix sh + awk, sed, etc. But if a script I write needs to use arrays, sets, hashtable or processes many files - I use Nim[0]. It's a compiled systems-programming language that feels like a scripting language: - Nim is easy to write and reads almost like a pseudocode. - Nim is very portable language, runs almost anywhere C can run (both compiler and programs). - `nim r script.nim` to... - Source: Hacker News / 8 months ago
Crystal (programming language) - Programming language with Ruby-like syntax that compiles to efficient native code.
Fiskl - Fiskl captures, automates and manages all your company's expenses and billing.ย
Go Programming Language - Go, also called golang, is a programming language initially developed at Google in 2007 by Robert...
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.
D (Programming Language) - D is a language with C-like syntax and static typing.
Snappin - No more chasing receipts.