Dhall Configuration Language
Jsonnet
YAML
Medium
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JSON
devenv
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ParserData.com
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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.
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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.
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I love the concept and see the value for refactoring. There is tremendous value in knowing that two implementations are run-time equivalent. I just wanted to share for others that there is a configuration language call Dhall (https://dhall-lang.org/) that has this kind of guarantee as one of its nicest features. See the "Refactor Fearlessly" section. In Dhall, most behavior preserving refactors produce the exact... - Source: Hacker News / 8 days ago
I built PanInfraSpec to keep my hands off that loop. It's agenerator that takes Dhall inputs and emits Serverspec *_spec.rb files. The Ruby still does the actual checking, but I no longer write it. There is no spec_helper.rb to grow custom matchers in, because spec_helper.rb is generated and I don't edit it. - Source: dev.to / 4 months ago
An interesting example is the Dhall language: https://dhall-lang.org/ It is a configuration language with general programming features, but it is decidedly _not_ Turing complete. It seems to sit at a sweet spot between "just JSON, no programming convenience at all" and "full-blown programming language with nontrivial toolchain". - Source: Hacker News / 9 months ago
There are languages specifically for writing configs. Like dhall https://dhall-lang.org/. - Source: Hacker News / 12 months ago
> I'm thinking what is the missing piece here First, it's cool that you work on it. Creating a new language is not an easy task. I would suggest to try to stand on the shoulders of giants instead of trying to come up with a completely new thing. Have a look at dhall: https://dhall-lang.org/ - it is a language that was created for cases like yours. Or, if you want to make POML a fully fledged language (and turing... - Source: Hacker News / about 1 year ago
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