Prompt Title: Extract PDF sentences.

Yes, there are several free tools and libraries available that can help you extract sentences from a PDF file. One of the most popular libraries is PyPDF2, which is a pure Python library specifically designed for PDF manipulation.

Here's a simple example of how to extract text from a PDF using PyPDF2:

1. First, you'll need to install PyPDF2 by running this command in your terminal or command prompt:

Copy code
pip install pypdf2

2. Next, create a Python script with the following code:

pythonCopy code
import PyPDF2
import re

def extract_text_from_pdf(file_path):
    with open(file_path, 'rb') as file:
        reader = PyPDF2.PdfFileReader(file)
        text = ''
        for page in range(reader.numPages):
            text += reader.getPage(page).extractText()

    return text

def extract_sentences(text):
    sentences = re.split(r'(?<!\w\.\w.)(?<![A-Z][a-z]\.)(?<=\.|\?)\s', text)
    return sentences

if __name__ == '__main__':
    file_path = 'path/to/your/pdf/file.pdf'
    text = extract_text_from_pdf(file_path)
    sentences = extract_sentences(text)

    for sentence in sentences:
        print(sentence)

3. Replace 'path/to/your/pdf/file.pdf' with the actual path to the PDF file you want to extract sentences from.

4. Run the script, and it will print all the sentences extracted from the PDF.

Keep in mind that the extraction quality may vary depending on the structure and formatting of the PDF file. Additionally, PyPDF2 may not work well with scanned PDFs or PDFs with complex layouts. In those cases, you may need to explore Optical Character Recognition (OCR) tools such as Tesseract OCR, in combination with the pdf2image library, to extract text.

Extracting text from an annual report PDF can be done using the same Python libraries mentioned earlier, PyPDF2 or a combination of Tesseract OCR and pdf2image. In this case, I'll guide you through the process using PyPDF2.

1. Install PyPDF2 by running this command in your terminal or command prompt:

bashCopy code
pip install pypdf2

2. Download the Jones Lang LaSalle Incorporated 2020 Annual Report and save it to your computer.

3. Create a Python script with the following code:

pythonCopy code
import PyPDF2
import re

def extract_text_from_pdf(file_path):
    with open(file_path, 'rb') as file:
        reader = PyPDF2.PdfFileReader(file)
        text = ''
        for page in range(reader.numPages):
            text += reader.getPage(page).extractText()

    return text

def extract_sentences(text):
    sentences = re.split(r'(?<!\w\.\w.)(?<![A-Z][a-z]\.)(?<=\.|\?)\s', text)
    return sentences

if __name__ == '__main__':
    file_path = 'path/to/your/JLL_2020_Annual_Report.pdf'
    text = extract_text_from_pdf(file_path)
    sentences = extract_sentences(text)

    for sentence in sentences:
        print(sentence)

4. Replace 'path/to/your/JLL_2020_Annual_Report.pdf' with the actual path to the PDF file you downloaded.

5. Run the script, and it will print all the sentences extracted from the PDF.

If the text extraction quality is not satisfactory using PyPDF2, you may need to try the Tesseract OCR and pdf2image approach. Note that the extraction quality may vary depending on the structure and formatting of the PDF file.