Do I have a large volume of files that need batch file conversions or automation? Our best-performing tool on app-generated PDFs may not be the best choice for you if you want to automate frequent batch conversions. Things get more complicated if tables are spread over multiple pages, table cells are merged, or some data within a table cell wraps over multiple lines.ģ. How complex is the data structure? Almost every tool will work well on a simple one-page table. Not all PDF conversion tools work on scanned PDFs.Ģ. If a click and drag works to highlight text, your PDF is app-generated. You can tell which one you have by trying to highlight some text in the document. One is generated by an application like Microsoft Word the other comes from a scanned or other image file. Was my PDF generated by an application or is it a scanned image? There are two types of PDF files. There are several important considerations when selecting a PDF converter.ġ. (Not sure if I used tesseract correctly, I only had 2-3 lines o code on the editor) Because this is a huge agency, the accuracy is very important.3 questions to ask when choosing a PDF to Excel converter Yet, the output I got with tesseract was grossly inaccurate: it didn't read the dots (13.4 became 134), it didn't read some numbers correctly at all, etc. I tried using tesseract library with python (my primary language) to extract the data as a string and then convert the string into a pandas dataframe and then download it as a xlsx file. But I have no idea of how I should do it. I was thinking of creating an OCR which would take in a scanned document and convert it into an Excel spreadsheet. What workers have been doing so far is, they type the numbers by hand into the spreadsheet which is very inefficient. So, I was working at a fund where we receive scanned contracts with monthly numerical data to be used in Excel models.

Ocr table to excel