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new optimized version for data extraction API
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FROM python:3.7 | ||
COPY . /app/ | ||
WORKDIR /app | ||
RUN pip install -r requirements.txt | ||
ENTRYPOINT ["python3"] | ||
CMD ["app.py"] |
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# PDFs-TextExtract | ||
Python Multiple and Large PDF Documents Text Extraction - Python 3.7 | ||
![Logo](XPDF.jpg) | ||
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## Introduction | ||
**As a Data Scientist , You may not stick to data format.** | ||
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PDFs is good source of data, most of the organization release their data in PDFs only. **As AI is growing, we need more data for prediction and classification**; hence, ignoring PDFs as data source for you could be a blunder. | ||
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*As you know PDF Processing comes under text analytics.* | ||
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Most of the Text Analytics Library or frameworks are designed in Python only, this gives a leverage on text analytics. You can never process a pdf directly in exising frameworks of Machine Learning or Natural Language Processing. Unless they are proving explicit interface for this, **we have to convert pdf to text first.** | ||
## Problematic | ||
Most Python Liabiries for Pdf Processing such as PyPDF2 and Pdfminer.six perform in text extraction task, but this performance is limited to a small and simple PDF document. | ||
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That's why, **PDFs-TextExtract** project developed to **extract text from multiple and large pdf documents.** | ||
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## Setup Environment | ||
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#### For use with MacOS X, the scripts will need to be modified to remove "/PDFs-TextExtract" from the path. | ||
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- **Step 1:** Select Version of Python (Python 3.7) to Install from [Python.org](https://www.python.org/) website. | ||
- **Step 2:** Download Python Executable Installer. | ||
- **Step 3:** Run Executable Installer. | ||
- **Step 4:** Verify Python Was Installed On Windows. | ||
- **Step 5:** Verify Pip Was Installed. | ||
- **Step 6:** Add Python Path to Environment Variables (Optional). | ||
- **Step 7:** Install Python extension for your IDE (Visual Studio Code). | ||
- **Step 8:** Now you’ll be able to execute python scripts with your IDE (Visual Studio Code). | ||
- **Step 9:** | ||
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## Install dependencies | ||
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pip install -r requirements.txt | ||
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## Usage | ||
- **Step 1:** Open **..\PDFs-TextExtract-master\samples** folder and put your PDF Documents inside. | ||
- **Step 2:** Execute **..\PDFs-TextExtract-master\Scripts\merged.py** script. | ||
- **Step 3:** Execute **..\PDFs-TextExtract-master\Scripts\spliter.py** script. | ||
- **Step 4:** Execute **..\PDFs-TextExtract-master\Scripts\extract_text.py** script. | ||
- **Step 5:** Open **..\PDFs-TextExtract-master\output** and you will find the result there. | ||
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## With bash script | ||
Execute | ||
sh main.sh | ||
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## Resources | ||
- [Overview about PDF Processing with Python](https://towardsdatascience.com/pdf-preprocessing-with-python-19829752af9f) | ||
- **pdf2txt** tool forked from [pdfminer.six](https://github.com/pdfminer/pdfminer.six) project. | ||
- **merger** and **spliter** tools forked from [PyPDF2](https://github.com/mstamy2/PyPDF2) project. | ||
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