I need to recognize written text in a table and parse it in json. I do it using python. I don't really understand how to extract photos of text from a table that is in pdf format. Because the usual table recognizer is not suitable, since written text is not recognized there. Accordingly, I need to somehow cut the cells from the table, how to do this?
if you want to extract tables and their cells you probably need a table extractor like this; 1
Then after extracting the table and its cells with their coordinates, you are allowed to pick those pixels. For example; img[x1:x2,y1:y2]
After obtaining the cell's pixels, you can use the Tesseract OCR engine to understand the texts written in image pixels.
These are the general steps that you need to follow, I can help you more if you precise your question more.
PDF format has not 'table' and 'cell'.
Covert PDF into PNG format or other raster format and use OCR as say BlackCode.
Related
I'm trying to convert an Excel table to HTML using Python. But I want to keep the original formatting of the table. For example, I have 3 lines with the colour grey and in bold and every cell value is centered. The table also has borders.
I was able to convert to HTML using pandas, however it only keeps the borders, the other formatting characteristics are gone.
Can someone help me please?
I've already check this post (Python - Excel to HTML (keeping format)), but did not understand how it works :(
Thanks!!
I am downloading an image of a table shown below and I want to extract the table data. I have tried AWS Textract to achieve this goal but for some reason it is not able to differentiate between some values and also appends extra values. It would take a long time to come up with a way to deal with this. Is there any other way to extract the data from this table?
Image I am trying to extract data from
So I have these PDFs that are scanned copies of a structured feedback form. The form has these checkboxes and spaces for hand written notes. I am trying to extract the data from these PDFs and save it to an unstructured CSV file.
Now using pytesseract I am able to grab the printed text (by first converting the PDF to image) but I am not able to capture the handwritten content. Is there any of doing it.
I am enclosing a sample form for reference.
!https://imgur.com/a/2FYqWJf
PyTesseract is an OCR program. It has not been trained or designed to recognize handwriting. So you have two options: 1) Retrain it for handwriting (this would be quite time-consuming and complicated though) 2) Use another library actually meant for recognizing handwriting and not printed text like this one: https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/quickstarts/python-hand-text
I have a scanned PDF which has some random data in a tabular format and want to copy that into an Excel sheet.
I have played around with digital PDFs and use 'tabula' to extract tables but scanned PDFs require OCRs(what I've seen over google).
I know there is an OCR involved(tesseract), but do not know what approach should I take towards solving the problem.
Take a look at Tesseract's TSV (Tab Separated Value) output format and see if Excel can read or import it. Some tranformation may be needed to get it into a format consumable by Excel.
https://digi.bib.uni-mannheim.de/tesseract/manuals/tesseract.1.html
I have tried to extract table data from the image and insert to csv. I use by tesseract
can anyone tell me how to detect table data from the image
I have this image:
Check this open source library https://github.com/jsvine/pdfplumber. This has shown good promise in extracting table data. You will get the texts in the table as a list of lists which is very useful. Apart from that, you can get the coordinates of the cells also which gives provisions for any post-processing.
One drawback is that it works only for digital pdfs.