📄 VOC Literature Extractor

Developed by DataLens.Tools
AI-powered research assistant for extracting insights from scientific papers.

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🔬 Overview

The VOC Literature Extractor is a Streamlit-based application designed to help researchers efficiently analyze scientific papers.

It extracts both:

1. General Paper Insights

• Paper title, year, DOI
• Paper aim
• Main result
• Short summary (2–3 lines)
• Abstract text
• Conclusion text

2. VOC-Specific Information (when present)

• Volatile Organic Compounds (VOCs)
• Behavioral classification (attractant / repellent / no effect)
• Evidence sentences
• Compound-level summary

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🚀 Features

• Upload multiple PDF papers
• Automatic extraction of key insights
• VOC detection and classification
• Structured output tables
• Export to Excel, JSON, CSV
• Works for both VOC and non-VOC papers

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🛠️ Installation

python -m venv venv

Activate:

Windows:

venv\Scripts\activate

Mac/Linux:

source venv/bin/activate

Install dependencies:

pip install -r requirements.txt

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▶️ Run the App

streamlit run app.py

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📥 How to Use

1. Upload PDF papers
2. Click "Extract Paper Insights and VOC Evidence"
3. View summaries and extracted data
4. Download results

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🧬 Use Case

Quickly extract summaries and insights from multiple papers to support:

• Introduction writing
• Discussion sections
• Literature review

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🏷️ Branding

DataLens.Tools
Making data analysis accessible for researchers

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📬 Contact

info@datalens.tools