Originally published at htpbe.tech. The version on htpbe.tech stays in sync with the latest detection algorithm — refer to it for the canonical text.
A single PDF check is a request/response call. A thousand of them is an architecture problem. The moment your platform processes a stream of documents — nightly batches of loan applications, a queue of insurance claims, every payslip uploaded during an onboarding window — the question stops being “how do I call the API” and becomes “how do I call it ten thousand times without melting either side of the connection.”
This guide is the scale companion to the Node.js integration guide, which covers the single-call surface, and the Next.js App Router guide, which covers per-request integration. Here the concern is throughput: wrapping the PDF tamper detection API in your own job runner, controlling concurrency, surviving 429 capacity signals, making each job idempotent, and routing verdicts (intact / modified / inconclusive) into the right downstream lane. Code below is end-to-end TypeScript using BullMQ and Redis — adapt it for your own ops profile (metrics, alerting, secrets, persistence), then map the same primitives onto SQS, Cloud Tasks, or any other queue.
