semvec/pypi-packages huggingface dataset:
Pdf-check-fraud 0.0.1
Program checks simularity of pdf files to detect fraud. PDF files are converted to Text files They are compared and the results are writen to a csv file
Requires Python: >=3.10


### Table of Contents

1. [Installation](#installation)
3. [File Descriptions](#files)
2. [Using Process](#motivation)
4. [Author](#licensing)

# 1. Installation <a name="installation"></a>

To install via pip , use the command below, it will automatically install all the liberary used in this Repo.
<em>
		pip install Pdf-check-fraud
</em>       
        
# 2. File Descriptions <a name="files"></a>

Links to the corresponding codes, which are stored in the [Code]() folder.

# 3. PDF comparison to detect fraud <a name="motivation"></a>
 Program checks simularity of pdf files to detect fraud. Program provides the user with an interface in which s/he can  enter data for the directory where the PDF files are located and the location of the converted text files. These text files are compared and the results are writen to a csv file.
 To start the program:
<em>
 python Pdf_check_run.py
</em>
      
# 5. Author <a name="licensing"></a>
	Copyright (c) 2023 J.f. Hellings
searchlix 1.0.7
A package for extract data from websites and text
Keywords: python,web scraping,emails,phone,data,search,extract data

# Searchlix
## _powerful python pakage to search in text and websites_



## Features

- Search for page name in website
- Extract emails from website page
- Extract phone number from website page
- Check if a domain has a valid mail server
- Check if a domain is valid
- Search for word in files (.txt file)
- Pattern search in text
- Search for word in text
- Extract a phone number from a text / Phone number validation
- Extract emails from a text / Email validation






## Installation

python 3.6+

```sh
pip install searchlix
```

## Functions

How you can use it.

| Features | Function |
| ------ | ------ |
| Find emails in text / Email validation | find_email(text) |
| Find emails in website page | extract_email_from_link(url) |
| Find phone number in text / Phone number validation | find_phone_number(text) |
| Find phone number in website page | extract_phone_from_link(url) |
| Pattern search in text | pattern_search(text, pattern) |
| Search for page name in website | extract_page_url(url, page_name) |
| check if domain has a valid mail server | check_mail_server(domain) |
| check if domain is valid | is_valid_domian(domain) |
| Search for word in files (.txt file) | search_word_in_file(filename=full_path_with_name, search_word=string, chunk_size= default is 1024*1024) |

## Import




```sh
from searchlix import searchlix
```

## Future Works

- Add proper error handiling
- Add test cases
- Add more features

## Notes

- this is a beta version
- if you have any suggestions please feel free to send email to me

## Contact Information 
- email: hashem.a.muhammad@gmail.com
- linkedin https://linkedin.com/in/hashem-muhammad


## License

MIT
Pdf-check 0.0.1
program check simularity of pdf files ask for pdf dir and convert text files. These text files are usedto be compared and the results are writen into a csv file
Requires Python: >=3.10


### Table of Contents

1. [Installation](#installation)
3. [File Descriptions](#files)
2. [Using Process](#motivation)
4. [Author](#licensing)

# 1. Installation <a name="installation"></a>

To install via pip , use the command below, it will automatically install all the liberary used in this Repo.
<em>
		pip install Pdf_check
<\em>       
        
# 2. File Descriptions <a name="files"></a>

Links to the corresponding codes, which are stored in the [Code]() folder.

# 3. PDF comparison to detect fraud <a name="motivation"></a>
 Program check simularity of pdf files. Program provides the user with an interface in which s/he can  enter data for the directory where the PDF files are located and the location of the converted text files. These text files are compared and the results are writen into a csv file.
 To start the program:
 <em>
 python Pdf_check_run.py
<\em>
      
# 5. Author <a name="licensing"></a>
	Copyright (c) 2023 J.f. Hellings