Free template: use AI to automatically categorize your PDF data
Automatically categorize your PDF data without writing a single line of code.
Parabola's PDF handling capabilities enable you to extract and transform data from PDF documents efficiently.
Parabola's PDF data extraction functionality enables you to convert PDF documents into structured, analyzable data. The platform can handle various PDF formats and layouts, making it versatile for different business needs.
Once you have retrieved your data, you can use the Categorize with AI step in Parabola to automatically categorize it. This step uses large language models to evaluate each row of data and assign a category from a custom, predefined set.
Suppose you have a large collection of PDF invoices (eg., freight invoices)that need to be categorized by type (e.g., sales, purchase, credit note). By using the Pull from PDF and Categorize with AI steps in Parabola, you can automate this process and ensure that your invoices are accurately categorized, making it easier to analyze and report on your financial data.
If you work with a variety of legal contracts in PDF format, you can use Parabola to automatically categorize them by type (e.g., employment, sales, partnership) or by specific clauses or provisions. This can help you quickly find and retrieve relevant contracts when needed, improving your contract management processes.
For researchers or academics who work with a large number of PDF research papers, Parabola can be used to automatically categorize the papers by topic, author, or other relevant metadata. This can help you better organize and navigate your research library, making it easier to find and reference specific papers when needed.
In conclusion, by using Parabola's Pull from PDF and Categorize with AI steps, you can streamline your data processing workflows, improve the accuracy and consistency of your data categorization, and gain valuable insights from your PDF data. Parabola's no-code platform makes it easy to build custom Flows that automate these tasks, saving you time and effort while enhancing your data-driven decision-making.