Parse PDF to extract trip data and metadata
Browse and open interactive notebooks with Voilà
Display Hugging Face configuration reference
Analyze document layout from images
Generate a detailed report on your dataset
Search ChatGPT-related repositories
Convert PDFs to HTML
Convert PDF to HTML with pdf2htmlEX
Edit a README.md file for an organization card
Analysis of data on an invoice
Display a welcome message on a web page
Check your paper for ACL guidelines
Display PDF Document
PDFParser is a document analysis tool designed to parse PDF files and extract valuable data such as trip information and metadata. It is engineered to handle various aspects of PDF processing, making it a reliable solution for extracting structured data from unstructured or semi-structured PDF documents.
• Text Extraction: Accurately extracts text from PDF files, including formatted content.
• Image Extraction: Identifies and extracts images embedded within PDF documents.
• Metadata Analysis: Retrieves metadata such as author, creation date, and file size.
• Multi-Language Support: Processes PDFs containing text in multiple languages.
• Version Compatibility: Works with a wide range of PDF versions and encodings.
• Layout Analysis: Understands and preserves the layout structure of the document.
• Integration Ready: Easily integrates with other systems and workflows for seamless data processing.
What file formats does PDFParser support?
PDFParser primarily supports PDF files, but it can also handle some convertible formats like scanned PDFs with OCR capabilities.
Can PDFParser extract data from scanned PDFs?
Yes, PDFParser can extract data from scanned PDFs, but it requires OCR (Optical Character Recognition) to recognize and process the text.
Is PDFParser available for all operating systems?
PDFParser is designed to be platform-independent and can be used on Windows, macOS, and Linux systems, provided the necessary dependencies are installed.