LLM-Aided OCR

Enhances OCR output of scanned PDFs using large language models.

CommonProductProductivityocrtesseract

llm_aided_ocr is an advanced system designed to significantly improve the quality of optical character recognition (OCR) outputs. By leveraging cutting-edge natural language processing technologies and large language models (LLMs), this project transforms raw OCR text into highly accurate, well-formatted, and readable documents.

PDF to image conversion
OCR using Tesseract
Advanced error correction using LLMs (either locally or via API)
Intelligent text chunking for efficient processing
Markdown formatting options
Optional suppression of headers and page numbers
Quality assessment of the final output
Support for local LLMs and cloud-based API providers (OpenAI
Anthropic)
Asynchronous processing for enhanced performance

Target audience includes individuals or businesses that need to convert scanned documents into editable and accurate text formats
such as for document digitization
historical document restoration
academic research
etc.

Convert scanned historical letters into editable text formats.
Perform OCR on scanned copies of academic articles and correct errors in the original output.
Digitize archived company contract documents for easier search and reference.

1. Place the PDF file in the project directory.
2. Update the input_pdf_file_path variable in the main() function with your PDF file name.
3. Run the script: python llm_aided_ocr.py.
4. The script will generate multiple output files
including the final processed text.

Visit

LLM-Aided OCR Visit Over Time

Monthly Visits

503747431

Bounce Rate

37.31%

Page per Visit

5.7

Visit Duration

00:06:44

LLM-Aided OCR Visit Trend

LLM-Aided OCR Visit Geography

LLM-Aided OCR Traffic Sources

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