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Extract text from scanned documents
Streamlit OCR App

Streamlit OCR App

Gemma-3 OCR App

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What is Streamlit OCR App ?

The Streamlit OCR App is a powerful tool designed to extract text from scanned documents and images with high accuracy. Built using advanced vision models, this app allows users to convert unstructured text in images into readable, editable formats. It is particularly useful forprocessing invoices, receipts, forms, and other scanned documents.

Features

β€’ Advanced OCR Technology: Utilizes cutting-edge AI models for precise text extraction.
β€’ User-Friendly Interface: Streamlit-based interface for seamless document processing.
β€’ Multiple File Formats: Supports various image formats including JPG, PNG, and PDF.
β€’ Real-Time Processing: Extract text from images in seconds with real-time rendering.
β€’ Customizable Settings: Options to adjust OCR sensitivity and output formatting.
β€’ Multi-Language Support: Built-in support for multiple languages to cater to diverse user needs.

How to use Streamlit OCR App ?

  1. Install the App: Run pip install streamlit-ocr-app to install the necessary package.
  2. Launch the App: Use streamlit run ocr_app.py to start the application.
  3. Upload Your Document: Click the file uploader to select your scanned document or image.
  4. Preview and Adjust: Preview the uploaded file and adjust settings if needed.
  5. Extract Text: Click the Extract Text button to process the document.
  6. Save Output: Copy or download the extracted text for further use.

Frequently Asked Questions

What file formats does the app support?
The app supports common image formats like JPG, PNG, and PDF. For PDFs with scanned content, ensure they are not password-protected.

Can I customize the OCR settings?
Yes, you can adjust settings like OCR sensitivity and text preprocessing to improve accuracy for specific use cases.

How long does text extraction take?
Processing time depends on the document size and complexity. Most extractions are completed in a few seconds.

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