Extracting tabular data from pdfs made easy with camelot

extracting tabular data from pdfs can be a challenging task, but with the help of camelot, it becomes much easier. camelot is a python library that allows you to extract tables from pdf files with ease. it uses a combination of image processing and machine learning algorithms to detect and extract tables accurately.

here's a step-by-step tutorial on how to extract tabular data from pdfs using camelot:

step 1: install camelot
you can install camelot using pip:

step 2: import camelot and extract tables from pdf

step 3: specify table extraction parameters
you can specify different parameters to customize the table extraction process. for example, you can set the flavor parameter to 'stream' if the table spans multiple pages, or set the pages parameter to specify the page numbers where the table is located.

step 4: export the extracted tables to csv
once you have extracted the tables, you can export them to csv files for further analysis or processing.

that's it! with camelot, extracting tabular data from pdfs is made easy. just follow the steps above to extract tables from pdf files and start working with the data.

code example:

feel free to experiment with different parameters and options provided by camelot to improve the extraction accuracy and efficiency.

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