MonocomSoft Files Email Extractor VS Docsumo

Monocomsoft’s Advanced File Email Extractor is one of the effective tools that allow you to extract emails from a comprehensive list of, excel files, pdf files, word files & plain-text files such as .xls, .xlsx, .pdf, .doc, .docx, .docm, .rtf, .dot, .txt, .csv, .sql without any need of installing Adobe Acrobat or MS Word. In addition, the extractor software consists of an Advance Filter that refines, optimizes, and filters extracted email lists. Post that, export the email list to .txt or .csv format or in a tabular form.

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