![]() ![]() When handling PDF data extraction in bulk, these issues can cause errors, delays and cost overruns that could seriously impact your bottomline!įortunately, there are solutions like Nanonets, that can extract data from PDF documents efficiently. Here are 5 different ways to extract data from PDF in an increasing order of efficiency and accuracy: Let's look at the 5 most popular ways in which businesses extract data from PDFs. Paste the copied information on a DOC, XLS or CSV file.Selection a portion of data or text on a particular page or set of pages.Need a smart solution for image to text, PDF to table, PDF to text, or PDF data extraction? Check out Nanonets' pre-trained data extraction AI for invoices, receipts, passports, driver's licenses & or any tabular data! Automated data extraction using NanonetsĪ copy & paste approach is the most practical option when dealing with a small number of simple PDF documents. This simple approach often results in data extraction that is erratic & error-prone. You will have to spend a considerable amount of time to reorganise the extracted information in a meaningful way. Handling manual data extraction from PDFs in-house for a large number of documents might become unsustainable and prohibitively expensive in the long run. Outsourcing manual data entry is an obvious alternative that is both cheap and quick. Online services like Upwork, Freelancer, Hubstaff Talent, Fiverr and other similar companies have an army of data entry professionals based out of middle-income countries in South Asia, South-East Asia and Africa. ![]() Want to capture data from PDF documents or convert PDF to Excel? Check out Nanonets' PDF scraper or PDF parser to scrape PDF data or parse PDFs at scale! A super-happy Nanonets user While this approach can reduce data extraction costs and delays, quality control & data security are serious concerns! Giphyĭata entry automation & automated data extraction solutions are therefore becoming more popular. PDF converters are an obvious choice for those concerned about data quality & data security. PDF converters allow data extraction to be managed in-house while being fast and efficient. PDF converters are available as software, web-based online solutions and even mobile apps. PDFs are most commonly converted to Excel (XLS or XLSX) or converted to CSV formats as they present tables in a neat way PDF to XML converters are also popular. Simply upload the PDF document and convert it into a format of your choice. Here are some top PDF convertor tools/software: Bulk data extraction is just not possible and one has to repeat the data extraction process for each document, one at a time! However, PDF converters are just not equipped to handle documents at scale. Very often, PDF documents contain tables along with text, images and figures.
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