How to insert sensitive data into a PDF using Reactors
Blog post from Basis Theory
Basis Theory’s tokenization platform and serverless Reactors can generate invoices containing sensitive customer information without exposing plaintext data within an application, supporting zero-trust security practices and reducing compliance burden. The described approach sends a partially completed PDF, encoded as base64, along with token IDs to a Reactor, where the IDs are automatically detokenized and inserted into the document using the Node.js pdf-lib library. Keeping non-sensitive invoice content in the application limits Reactor processing and simplifies error handling, although the platform’s 1 MB request limit may constrain larger PDFs. The process involves locating PDF text coordinates, drawing sensitive fields such as account numbers and addresses in the appropriate positions, returning the finished PDF as encoded data, testing the function locally, and then deploying it as a Reactor.
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