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
Based on our record, DynamoDB seems to be a lot more popular than Docsumo. While we know about 120 links to DynamoDB, 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 2 years ago
Check out our website https://docsumo.com/ and blog https://docsumo.com/blog for more details. Source: almost 3 years ago
In this application, we will create products and retrieve them by their ID and use Amazon DynamoDB as a NoSQL database for the persistence layer. We use Amazon API Gateway which makes it easy for developers to create, publish, maintain, monitor and secure APIs and AWS Lambda to execute code without the need to provision or manage servers. We also use AWS SAM, which provides a short syntax optimised for defining... - Source: dev.to / 24 days ago
In this example, we need to set up two AWS Lambda, AWS Secrets Manager and Amazon DynamoDB resources. - Source: dev.to / 2 months ago
Amazon DynamoDB revolutionized the NoSQL database world with its flexible data model and high performance. At the core of its architecture, we find two fundamental concepts: Partition Key (PK) and Sort Key (SK). This article explores how these elements not only structure data but also significantly impact application performance and scalability. - Source: dev.to / 3 months ago
ExtractDataFunction:uses Langchain and LangSmith to validate and extract structured JSON info through Bedrock and Sonnet 3.5 v2 and then store it in DynamoDB for later use. - Source: dev.to / 4 months ago
NoSQL: For certain types of data and access patterns, a NoSQL database like MongoDB, ScyllaDB, or DynamoDB might be more suitable for high-concurrency scenarios, as long as your data makes more sense being denormalized. - Source: dev.to / 4 months ago
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