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.
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I want to extract numeric data from an image of a table (png/jpeg/etc.) using Python. I don't mind if it's some deep learning algorithm but it doesn't have to be if there is already an existing library.
I've tried various script that I found online. Most of them are some version of using cv2 and pytesseract. One such example is here here. It works for simple tables or sample files used in the algorithm description itself. However, they don't seem to work well for general tables that I want to process, one example is below.
Does anyone know any other table recognition scripts/libraries that I can just use out of the box? Thanks.
I have 3 tables (image pasted) all 3 table(have same columns) look same and i want data of address column (yellow colour) of 3 tables stored inside a variable.
There are different ways to handle extraction of tables from pdf. The final solution will depend primarily on individual pdf that you need to read. Some variables to think about when choosing the solution are:
is the pdf just an image saved as pdf (rastered image of a scanned
document)?
what is the quality of pdf?
is there any noise in the pdf
files (e.g. spots caused by a printer) you need to get rid of?
is the table in pdf skewed?
how many pages has a pdf?
how many pages a table spans across?
how many documents do you need to scan?
There are many solutions to extract tables from pdf ranging from table-specialized OCR services to python utility libraries to help you build your own extraction program.
An example of a powerful tool to convert data from tables from pdf to excel is Camelot, which you have included in your question's tags. It abstracts a lot of complexity involved in the task at hand. You just install it
and access it for example like that:
import camelot
file = 'https://www.w3.org/WAI/WCAG21/working-examples/pdf-table/table.pdf'
tables = camelot.read_pdf(file)
tables[0].to_excel('table.xlsx')
As I mentioned, the devil lies in the individual characteristics of a table and a pdf file.
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.
I need to extract data from tables in multiple PDF's using Python. I have tested both camelot and tabula however neither of them are able to accurately get the data. The tables have some merged cells, cells with mutiple lines of information etc. so both these libraries get confused. Is there a good way of approaching this issue?
There may be something wrong with the underlying structure of the table encoded in the PDF if that's the case.
You could use OCR, and do some string/regex manipulation to extract column data from each row. github.com/cseas/ocr-table seems to work. See the input.pdf and output.txt to see if it works with your situation.
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