When running a large batch of documents, users are faced with the problem of having to separate batches manually, run each batch individually, label each batch accordingly, and route each batch to its appropriate location. As you can tell, this is very time consuming and outdated practice but is a fundamental way that many companies do business. Umango\u2019s batch separation option has an embedded solution that helps separate large batches in a variety of ways as seen below:<\/p>\n\n\n\n
Users can set up documents if there are a specific number of\npages so that if each batch has an identical number of pages, you can set the\nbatch to separate after a specified number of pages has been processed.<\/p>\n\n\n\n
Using Barcodes is an effective tool to recognize, manage,\nand categorize each document based on the barcode on the coversheet of each\nbatch. Barcodes can be set for automation when reading each batch to without\nany user intervention can send documents and batches to their proper location\nby just the barcode that has been assigned to each batch.<\/p>\n\n\n\n
Optical Character Recognition has the flexibility to smart seek keywords or phrases to determine when to separate batches. Using OCR batch separation can smart seek page numbers, client names, titles and so on, helping the user automatically separate batches, as well as allowing for manual intervention if the confidence levels of finding that keyword or phrase were not met.<\/p>\n\n\n\n
Umango separation sheets are an easy to use document\nseparator that can be slipped in-between batches and once scanned,\nautomatically separates each batch accordingly. Unlike most batch separating\nfeatures that make you go out and purchase them, Umango has created a tab that\nallows users to print as many separator sheets as needed at no cost. With\ncompanies that process high volumes of documents, separation sheets can get\nlost in mountains of papers. To avoid this, Umango recommends using different\ncolored separator sheets to quickly locate and remove batch separators.<\/p>\n\n\n\n
ADR is a feature from analyzing each sample cover sheet and being able to read the structure of that document and separate based on how similar the document is to the sample. This can be set to levels of confidence and thresholds that have to be met in order for the document to separate making it flexible on how similar or different the page can look for it to automatically separate.<\/p>\n\n\n\n
ecoprintQ is an Authorized Solution Center partnered with Umango here for all of your Umango needs. For more information on the incredible software Umango has or what ecoprintQ can do to help you, give us a call at 800.236.8499 or email us at sales@ecoprintq.com. <\/p>\n","protected":false},"excerpt":{"rendered":"
When running a large batch of documents, users are faced with the problem of having to separate batches manually, run each batch individually, label each batch accordingly, and route each batch to its appropriate location. As you can tell, this is very time consuming and outdated practice but is a fundamental way that many companies […]<\/p>\n","protected":false},"author":4,"featured_media":428,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"zakra_page_container_layout":"customizer","zakra_page_sidebar_layout":"customizer","zakra_remove_content_margin":false,"zakra_sidebar":"customizer","zakra_transparent_header":"customizer","zakra_logo":0,"zakra_main_header_style":"default","zakra_menu_item_color":"","zakra_menu_item_hover_color":"","zakra_menu_item_active_color":"","zakra_menu_active_style":"","zakra_page_header":true,"footnotes":""},"categories":[2,40],"tags":[8,296,283,292,293,294,271,5,49,106,295,291,4,82],"class_list":["post-421","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ecoprintq","category-umango","tag-authorized-solution-center","tag-automatic-document-recognition","tag-barcodes","tag-batch","tag-batches","tag-batches-of-documents","tag-documents","tag-ecoprintq","tag-extract","tag-ocr","tag-ocr-text","tag-pages","tag-umango","tag-umango-extract"],"_links":{"self":[{"href":"https:\/\/www.ecoprintq.com\/blog\/wp-json\/wp\/v2\/posts\/421","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ecoprintq.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ecoprintq.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ecoprintq.com\/blog\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ecoprintq.com\/blog\/wp-json\/wp\/v2\/comments?post=421"}],"version-history":[{"count":2,"href":"https:\/\/www.ecoprintq.com\/blog\/wp-json\/wp\/v2\/posts\/421\/revisions"}],"predecessor-version":[{"id":427,"href":"https:\/\/www.ecoprintq.com\/blog\/wp-json\/wp\/v2\/posts\/421\/revisions\/427"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ecoprintq.com\/blog\/wp-json\/wp\/v2\/media\/428"}],"wp:attachment":[{"href":"https:\/\/www.ecoprintq.com\/blog\/wp-json\/wp\/v2\/media?parent=421"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ecoprintq.com\/blog\/wp-json\/wp\/v2\/categories?post=421"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ecoprintq.com\/blog\/wp-json\/wp\/v2\/tags?post=421"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}