I'm trying to extract data from below image but i get the output in a very bad format and i'm having trouble to determine right column for right value programmatically..
My progress so far: I've managed to get all the values correctly and the only problem now is that i cant determine using program correct column for each value.. Please guide me how can i achieve this
I have an idea to split the image column-wise then put it through ocr but also dont know how to split image without breaking the text/words
Above is the image i'm trying to extract data from.. and below is the output
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 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 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
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.
I need to write a desktop application that performs the following operations. I'm thinking of using Python as the programming language, but I'd be more than glad to switch, if there's an appropriate approach or library in any other languages.
The file I wish to capture is an HWP file, that only certain word processors can run.
Capture the entire HWP document in an image, might span multiple pages (>10 and <15)
The HWP file contains an MCQ formatted quiz
Parse the data from the image that is separate out the questions and answers and save them as separate image files.
I have looked into the following python library, but am still not able to figure out how to perform both 1 and 3.
https://pypi.python.org/pypi/pyscreenshot
Any help would be appreciated.
If i got it correctly , you need to extract text from image.
For this one you should use an OCR like tesseract.
Before using an OCR, try to clear noises from image.
To split the image try to add some unique strings to distinguish between the quiz Q/A