Docsumo
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Rossum
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DocuClipper
AlgoDocs
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Spark Framework
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Laravel
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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.
Docsumoโs 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:-
โ Data Capture from forms, semi-structured and unstructured financial documents โ Pre-Trained API stack for loan application, insurance compliance, invoices, supply chain management, and Commercial Real Estate applications โ Review & edit tool that allows you to click on any text in a document to capture data without manual entry โ Out of the box API endpoint (accessible via Settings page) & option to download CSV โ Multiple learning mechanism to ensure maximum accuracy โ Simple pay as you go pricing โ Ability to customize fields from the frontend โ Define templates for recurring documents โ 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
Docsumo
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Based on our record, Spark Framework seems to be a lot more popular than Docsumo. While we know about 29 links to Spark Framework, 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: almost 4 years ago
The code for serving queries is found in the WebSearch class. Weโre using Spark (the web framework, not the big data engine) to serve a simple search form:. - Source: dev.to / about 2 years ago
Get a solid grasp of building web applications with Java either using Spring (using Spring Boot) or Spark (if you're also new to Java learning Java and Spring can be a mouthful). Instead of JSP use something Thymeleaf or build the frontend with HTML and JavaScript (and serve the bundles). Source: over 2 years ago
So most of the "tech" stack goes out. In our first startup we created our own web-container by using https://sparkjava.com - and then built a JSR-223 scripting support. Source: over 2 years ago
Stack: Java, Spark (not the Apache Spark but this), Kafka, several other libraries like FasterXML's Jackson. Source: about 3 years ago
The blog is just hugo so it's 100% static files over nginx. The search engine is serverside-rendered mustache templates via handlebars[1], via served via spark[2]. It's basically all vanilla Java. I do raw SQL queries instead of ORM, which makes it quite a bit snappier than most Java applications. The sheer size of the database also mandates that basically every query is a primary key lookup. The code is written... - Source: Hacker News / about 3 years 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.
Javalin - Simple REST APIs for Java and Kotlin
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNetsโ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Sinatra - Classy web-development dressed in a DSL
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.
vert.x - From Wikipedia, the free encyclopedia