While they all perform the same function, these tools use fundamentally different techniques that have their own pros and cons. Extracting tables from documents with Nanonets And a lot of verification & reformatting is necessary to restore the data to its original organised form.įortunately, there are various tools, like Nanonets, that can extract tables from PDF documents efficiently. The manual approach of copy-pasting rarely maintains the table structure. For example, converting bank statements from PDF to Excel or CSV.You can find tables in financial documents such as invoices, receipts, insurance documents, bills of lading, bank statements, reports etc.īusinesses often look for solutions to extract the tabular PDF data as editable table formats. Most data-rich business documents use tables to organise & present valuable information. Organisational workflows today largely depend on PDF documents especially those that contain lots of tabular data. While you could still extract text from PDFs by copy-pasting content, extracting tables from a PDF gets way more complicated! Giphy Ever tried extracting data from PDFs? It's kinda hard.
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