Extracting structured data from messy text: what worked for me

try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3953783) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } zhongqiyue Posted on Jun 15 Extracting structured data from messy text: what worked for me #python #nlp #ai #webdev I spent a good two weeks last quarter building an invoice extraction pipeline for our accounting team. The emails came in all shapes: some with PDF attachments, others with plain text tables, a few with scanned images that had been OCR'd into garbled nonsense. My job was to pull out vendor name, invoice number, date, and total amount.

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