Search Results for "pdf parser"

py-pdf-parser is a Python tool designed to help extract information from structured PDFs. It provides a simple interface to define parsing rules and extract data from PDF documents. ​

nbsphinx is a Sphinx extension that provides a source parser for *.ipynb files. Custom Sphinx directives are used to show Jupyter Notebook code cells (and of course their results) in both HTML and LaTeX output. Un-evaluated notebooks – i.e. notebooks without stored output cells – will be automatically executed during the Sphinx build process.

LlamaParse is a GenAI-native document parser that can parse complex document data for any downstream LLM use case (RAG, agents). Load in 160+ data sources and data formats, from unstructured, and semi-structured, to structured data (API's, PDFs, documents, SQL, etc.) Store and index your data for different use cases. Integrate with 40+ vector stores, document stores, graph stores, and SQL db providers.

Edit your PDFs without needing a subscription or creating accounts. Add a GUI/Turn it into a web application. Add a parser for the command line to do multiple commands at once e.g. merge (cut pdf1) pdf2. Tested working with Python 3.8.5. Install venv (py -3.8 -m pip install virtualenv). PDF and Word documents are binary files, which makes them much more complex than plaintext files. In addition to text, they store lots of font, color, and layout information.

PyResParser is a simple resume parser that extracts information from resumes, aiding in the automation of resume-processing tasks.