Parse lighting fixture details from PDFs
Explore Darija tokenizers with a leaderboard and comparison tool
Classify a PDF into categories
Assess content quality from a URL
Check your paper for ACL guidelines
Browse questions from the MMMU dataset
Ask questions about PDF documents
Edit a markdown file to create an organization card
Find CVPR 2022 papers by title
Extract bibliographic data from academic papers and patents
This space contains 4 usecases in Law Domain.
Find elements matching a CSS selector
All paper summaries read by Merve
LitBase is an AI-powered document analysis tool designed to parse and extract details from PDFs containing lighting fixture information. It simplifies the process of working with technical documents by automating data extraction, making it easier to analyze and utilize the information.
1. What types of PDFs does LitBase support?
LitBase supports standard PDF files containing text, tables, and vector graphics, including scanned documents with selectable text.
2. How accurate is the data extraction?
The accuracy depends on the quality of the input PDF. For clear, selectable text, accuracy is typically high, but scanned or low-quality documents may require manual verification.
3. Can LitBase export data in multiple formats?
Yes, LitBase allows users to export extracted data in CSV, Excel, and JSON formats, making it compatible with various data analysis tools.