davendw49/sciparser
PDF parsing toolkit for preparing academic text corpus
When you need to extract structured text from academic PDF papers for analysis, this tool helps you convert them into a clean, searchable Markdown format. It takes individual or multiple PDF documents as input and outputs their content as easily processable Markdown files, making it ideal for researchers and anyone building academic text corpuses.
No commits in the last 6 months.
Use this if you need to quickly and accurately convert academic PDF papers into a structured, plain-text format like Markdown for further analysis or building large text collections.
Not ideal if you need to parse general PDFs that are not academic papers, or if you require highly specialized extraction beyond text content, such as complex table or image data.
Stars
63
Forks
4
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 12, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/davendw49/sciparser"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
google/langextract
A Python library for extracting structured information from unstructured text using LLMs with...
Extralit/extralit
Fast and accurate systemic data extraction with LLM assistance
Keyvanhardani/german-ocr
German-OCR is specifically trained to extract text from German documents including invoices,...
oidlabs-com/Lexoid
Multimodal document parser for high quality data understanding and extraction
xingbow/SciDaEx
Structured data extraction from research literature