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It leverages state-of-the-art machine learning models to **automate** the processing of structured and unstructured data.\n\n[![Kaggle](https://img.shields.io/badge/Kaggle-Visit%20Project-blue?logo=kaggle)](https://www.kaggle.com/code/sitama/ai-docparser)\n\n## Example\n\n### Input:\n![input image](imgs/input_sample.png)\n\n### Output:\n![input image](imgs/output_sample.png)\n\n\n## Features\n\n- **Document Parsing**: Extract data from PDFs, images, and other document types.\n- **AI-Powered Analysis**: Use machine learning models to understand and process text.\n- **Customizable Workflows**: Easily adapt to different use cases by modifying parameters or integrating additional models.\n- **Model Retraining**: Fine-tune the parsing model with custom datasets for improved accuracy.\n\n## Tech Stack\n\n- Implemented SpaCy for Named Entity Recognition, text extraction using fitz with accuracy of 99.22%\n- Used RegEx for special type extractioon like date from the legal documents.\n- Optimized data extraction with reinforcement learning, achieving high performance in dynamic PDFs\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F403errors%2Fai-docparser","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F403errors%2Fai-docparser","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F403errors%2Fai-docparser/lists"}