{"id":43280,"date":"2023-03-20T16:38:41","date_gmt":"2023-03-20T15:38:41","guid":{"rendered":"https:\/\/www.inovex.de\/?p=43280"},"modified":"2023-12-13T10:58:43","modified_gmt":"2023-12-13T09:58:43","slug":"documentai-challenges-real-world-usage","status":"publish","type":"post","link":"https:\/\/www.inovex.de\/de\/blog\/documentai-challenges-real-world-usage\/","title":{"rendered":"DocumentAI: Challenges and Real World Usage"},"content":{"rendered":"

The past years and even decades have seen rapid increases in automation and digitalization, with \u201cpaperless office\u201c being only one of the terms coined in recent years. <\/span>Some areas, however, appear to be less affected by this trend: documents. While documents are<\/em> available via native\/scanned PDF files or images, their semi-structured format often needs additional processing, for example, OCR. <\/span>The task of extracting structured information from semi-structured documents is often referred to as Intelligent Document Processing (IDP) or DocumentAI. In the following sections, current trends, developments, and challenges in implementing DocumentAI systems are explored.<\/span><\/p>\n

An important decision is: make or buy. While both <\/span>Microsoft Azure<\/span><\/a> and <\/span>Google Cloud<\/span><\/a> offer a complete package with model, model training and labeling, vendor lock-in, and confidential\/privacy data requirements may limit the use of the respective service. Additionally, it may prove valuable to develop the knowledge and capabilities in-house. As is often the case, no perfect system exists (yet). The field is still highly active and changing rapidly, with a new model getting published nearly every month. To answer the question of \u201cmake or buy\u201c it is helpful to make a detour to what is possible and what is available off-the-shelf.<\/span><\/p>\n

\n

<\/p>\n<\/div>