Image2Text Analyzer

Image2Text Analyzer is a Streamlit web application that allows users to upload images containing text, extract the text using Tesseract OCR, perform spell-checking, sentiment analysis, and extract keywords from the extracted text.

Features

• Text Extraction: Upload an image and extract text using Tesseract OCR.
• Spell Checking: Perform spell-checking on the extracted text to correct any misspelled words.
• Sentiment Analysis: Analyze the sentiment of the extracted and corrected text (positive, negative, or neutral).
• Keyword Extraction: Extract keywords from the corrected text based on word frequencies.

Usage

1. Upload Image: Click on the "Choose an image..." button to upload an image containing text.
2. Extract Text: After uploading the image, click on the "Extract Text" button to extract text from the image.
3. View Results: Once the text is extracted, the sentiment analysis result will be displayed, and you can download the extracted text, corrected text, and extracted keywords.

Installation

1. Clone the repository: git clone https://github.com/ravalsmit/image2text-analyzer.git
2. Navigate to the project directory: cd Image2Text-Analyzer
3. Install dependencies: pip install -r requirements.txt

Run

To run the application, execute the following command: streamlit run main.py

Technologies Used:

• Streamlit: For building the web application.
• PyTesseract: For OCR.
• TextBlob: For sentiment analysis.

Dependencies

• streamlit: 0.87.0
• pytesseract: 0.3.8
• pillow: 8.4.0
• scikit-learn: 0.24.2
• textblob: 0.15.3