🔍 PDF parser for AI data extraction — Extract Markdown, JSON (with bounding boxes), and HTML from any PDF. #1 in benchmarks (0.907 overall). Deterministic local mode + AI hybrid mode for complex ...

Abstract: Compiler design for programming language recognition is a tedious process with crucial phases. These phases include lexical analysis, syntax parsing, semantic validation, intermediate code ...

LiteParse, developed by Llama Index, addresses common challenges in parsing complex documents, such as misaligned tables and inflexible layouts, by focusing on structured data extraction while ...

We’ll demonstrate an end-to-end data extraction pipeline engineered for maximum automation, reproducibility, and technical rigor. Our goal is to transform unstructured PDF documentation—like the ...

Banks generally send account statements in pdf format. These pdfs are often encrypted, the pdf format is difficult to extract tables from and when you finally get the table out it's in a non tidy ...

MarkItDown is an open-source Python library from Microsoft that converts various file formats to Markdown for indexing and analysis. Markdown is a popular lightweight markup language with plain text ...

The complete Python script to count the number of words and characters in a PDF file is available in our GitHub's gist page: This Python script will analyze a PDF file by extracting its text content ...

今天给大家分享一下，花费2周时间整理的Python自动化办公库。 本次内容涵盖了Excel、Word、PPT、ODF、PDF、邮件、微信、文件处理等所有能在办公场景实现自动化的库，希望能够对大家有所帮助。 特点：openpyxl 是一个用于读取 / 编写 Excel 2010 xlsx/xlsm/xltx/xltm 文件的 ...