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PDF to Dataset is a tool designed to convert PDF files into structured datasets and seamlessly upload them to Hugging Face, a popular platform for machine learning and data sharing. It simplifies the process of extracting information from PDFs and organizing it into a usable format for data analysis, AI model training, or other applications.
• PDF to Structured Data Conversion: Easily transform unstructured PDF content into a well-organized dataset.
• Batch Processing: Handle multiple PDF files at once for efficient data extraction.
• Data Cleaning and Filtering: Automatically clean and filter data to ensure high-quality output.
• Hugging Face Integration: Directly upload your dataset to Hugging Face for easy sharing and collaboration.
• Customizable Output: Define the structure and format of your dataset to suit your needs.
• Support for Various PDF Types: Works with scanned PDFs, structured PDFs, and unstructured text-based PDFs.
• Preview Functionality: Review your dataset before finalizing conversion.
• API Access: Integrate PDF to Dataset into your workflow or application via API.
• Export Options: Download your dataset in multiple formats, including CSV, JSON, and Excel.
What types of PDFs are supported?
PDF to Dataset supports scanned PDFs, structured PDFs, and unstructured text-based PDFs. For scanned PDFs, OCR (Optical Character Recognition) is used to extract text and convert it into a dataset.
Can I customize the dataset output?
Yes, you can define the structure and format of your dataset, including the columns, data types, and filtering rules, to match your specific requirements.
How do I access the API for PDF to Dataset?
The API documentation is available for registered users. After signing up, you can find detailed instructions and API credentials in your account settings.