bohrium-pdf-parser

To extract text and tables from PDF documents, you can use this Skill to parse structured content via URL or file upload. It leverages Bohrium's Uni-Parser API to automate the extraction of text, tables, charts, formulas, and molecules.

You can parse PDFs using either asynchronous or synchronous methods. This flexibility allows you to submit documents via URL or file upload and choose the processing mode that best fits your workflow and latency requirements.

To authenticate and start extracting data from PDFs, you need a valid API key for the Bohrium open API. Once configured, you can submit your PDF documents for parsing directly.

Yes, this PDF parsing method supports extracting molecules, formulas, and charts from research papers. It is specifically designed to automate the extraction of essential scientific data from PDF documents.

The best way to automate PDF text extraction for scientific articles is by submitting the document URL or file to this Skill. It processes the PDF and returns extracted text, tables, and structured content efficiently.

While the Skill supports asynchronous PDF parsing to handle large documents without blocking, specific file size limitations are not detailed. It requires the requests library and a valid API key for successful operation.