{"id":6824,"date":"2025-09-13T07:02:22","date_gmt":"2025-09-13T07:02:22","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/09\/13\/docling-the-document-alchemist\/"},"modified":"2025-09-13T07:02:22","modified_gmt":"2025-09-13T07:02:22","slug":"docling-the-document-alchemist","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/09\/13\/docling-the-document-alchemist\/","title":{"rendered":"Docling: The Document Alchemist"},"content":{"rendered":"<p>    Docling: The Document Alchemist<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<p>Why do we still wrestle with documents in\u00a02025? Spend some time in any data-driven organisation, and you\u2019ll encounter a host of PDFs, Word files, PowerPoints, half-scanned images, handwritten notes, and the occasional surprise CSV lurking in a SharePoint folder. Business and data analysts waste hours converting, splitting, and cajoling those formats into something their Python [\u2026]<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/docling-the-document-alchemist\/\">Docling: The Document Alchemist<\/a> appeared first on <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/p>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Thomas Reid<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/docling-the-document-alchemist\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Docling: The Document Alchemist Why do we still wrestle with documents in\u00a02025? Spend some time in any data-driven organisation, and you\u2019ll encounter a host of PDFs, Word files, PowerPoints, half-scanned images, handwritten notes, and the occasional surprise CSV lurking in a SharePoint folder. Business and data analysts waste hours converting, splitting, and cajoling those formats [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,69,67,1938,70,3360,157],"tags":[3778,3777,1939],"class_list":["post-6824","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-artificial-intelligence","category-deep-dives","category-document-processing","category-machine-learning","category-natural-language-processing","category-python","tag-alchemist","tag-docling","tag-document"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/6824"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=6824"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/6824\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=6824"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=6824"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=6824"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}