Shypd.aiThe largest open index of AI toolsllm_aided_ocr enhances Tesseract OCR output using LLMs for error correction, smart chunking, and markdown formatting of scanned PDFs. It transforms raw OCR text into accurate, well-formatted, and readable documents.
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About
The LLM-Aided OCR Project is an advanced system designed to significantly enhance the quality of Optical Character Recognition (OCR) output. By leveraging cutting-edge natural language processing techniques and large language models (LLMs), this project transforms raw OCR text into highly accurate, well-formatted, and readable documents. Key features include PDF to image conversion, OCR using Tesseract, advanced error correction using LLMs (local or API-based), smart text chunking, and Markdown formatting. It also offers header and page number suppression, quality assessment of the final output, and support for both local LLMs and cloud-based API providers like OpenAI and Anthropic. The system uses asynchronous processing for improved performance and detailed logging for tracking and debugging.
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