Docsumo
DocParser
Nanonets
Rossum
Parseur.com
DocuClipper
Dext
AlgoDocs
Jsonnet
Dhall Configuration Language
JSON diff
NixOS
JSONCompare
YAML
JSONFormatter.org
Hacker News Search
Docsumo is an intelligent document processing platform for financial services firms. Docsumo helps businesses and enterprises extract data from documents, analyze that data and detect document fraud.
Docsumo’s technology reduces back-office costs by up to 70% and increases productivity by 50%. For every million documents processed by a bank at about $1 per document, DocSumo can directly save $700k. What differentiates Docsumo is that their technology can read non-standardised documents such as bank statements, invoices, pay stubs and contracts with over 99% accuracy and more than 95% straight-through processing.
Docsumo features include:-
✅Data Capture from forms, semi-structured and unstructured financial documents ✅Pre-Trained API stack for loan application, insurance compliance, invoices, supply chain management, and Commercial Real Estate applications ✅Review & edit tool that allows you to click on any text in a document to capture data without manual entry ✅Out of the box API endpoint (accessible via Settings page) & option to download CSV ✅Multiple learning mechanism to ensure maximum accuracy ✅Simple pay as you go pricing ✅Ability to customize fields from the frontend ✅Define templates for recurring documents ✅Self-train neural network on your dataset
Choose Docsumo, if you want to:- - Automate the document data extraction end-to-end - Efficiently scale your process and your business eliminating manual data entry - Reduce risk by validating data
DocsumoBased on our record, Jsonnet seems to be a lot more popular than Docsumo. While we know about 38 links to Jsonnet, we've tracked only 2 mentions of Docsumo. 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.
Aayush here from Docsumo.com, we are a Document AI platform that empowers tech & ops teams to scale operations effortlessly by capturing, validating & analyzing unstructured documents. We recently raised $3.5 Million from Marquee investors. Source: over 3 years ago
Check out our website https://docsumo.com/ and blog https://docsumo.com/blog for more details. Source: about 4 years ago
OK, what we can do now? Use a preprocessing language guaranteed to produce valid syntax, like Jsonnet for json? That wil work, for sure. However, you have now a friction problem: it's new file format that requires implementing its own toolchain (Jsonnet is not json, so editor add-ons, parsers, interpreters, libraries, etc.) and you will need to drive the team through the learning curve of a language with its own... - Source: dev.to / 9 months ago
Https://jsonnet.org/ I never heard of this before. This seems like the JSON I wish I really had. Of course at some point you could just use JavaScript. - Source: Hacker News / over 1 year ago
I've been reading the book Modern Compiler Implementation in ML lately. It's been helpful to brush up on some concepts while developing Tsonnet (my typed-aspiring Jsonnet flavor) and I hope to learn a ton more. However, I'm growing dissatisfied with some details -- not specifically the book, but the choice of the development environment. - Source: dev.to / over 1 year ago
For the past 2 years, I've been working extensively with Jsonnet, a configuration language that augments JSON and helps eliminate repetition in our config files. It has its limits (many by design), which keeps the language simple to use. But there's one thing that keeps nagging at me when I'm deep in the code: what's the shape of the input or output of this function? And wouldn't it be great if we could type... - Source: dev.to / over 1 year ago
Jsonnet: Use --jsonnet (-j) for advanced, programmatically controlled renaming logic. - Source: dev.to / over 1 year ago
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.
Dhall Configuration Language - A non-repetitive alternative to YAML
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.
JSON diff - Compare 2 JSON and find difference
Rossum - Rossum is AI-powered, cloud-based invoice data capture service that speeds up invoice processing 6x, with up to 98% accuracy. It can be easily customized, integrated and scaled according to your company needs.
NixOS - 25 Jun 2014 . All software components in NixOS are installed using the Nix package manager. Packages in Nix are defined using the nix language to create nix expressions.
