Pdf_table_Parsing
A small project in Python for processing text PDF documents with tables.
Functionality:
The project can parse PDFs where tables may be located in different parts of the document (at the beginning or at the end), but are always identified by characteristic "reference" labels.
Processing of two main tables has been implemented: ECU SUMMARY INFO and ECU SUMMARY INFO (CONT...). These tables are automatically merged into one common table.
After the main tables, additional ECU DETAILS tables are extracted, which contain detailed parameters in the NAME=VALUE format for each entry from the main table.
All data is brought to a unified dynamic structure (for example, in the form of dictionaries or nested Python objects), which allows for convenient further manipulation.
Support for tables with varying numbers of entries has been taken into account.
Functionality:
The project can parse PDFs where tables may be located in different parts of the document (at the beginning or at the end), but are always identified by characteristic "reference" labels.
Processing of two main tables has been implemented: ECU SUMMARY INFO and ECU SUMMARY INFO (CONT...). These tables are automatically merged into one common table.
After the main tables, additional ECU DETAILS tables are extracted, which contain detailed parameters in the NAME=VALUE format for each entry from the main table.
All data is brought to a unified dynamic structure (for example, in the form of dictionaries or nested Python objects), which allows for convenient further manipulation.
Support for tables with varying numbers of entries has been taken into account.
Montreal 
Available for hire