How to Handle Bulk PDF Verification Without Overloading Your API

Processing thousands of PDFs through a tamper-detection API requires more than a simple loop, as serial calls and uncontrolled parallelism both cause failures at scale. The HTPBE PDF verification API is synchronous, blocking for 2–15 seconds per document until returning a verdict of intact, modified, or inconclusive. To handle high-volume batches — such as loan applications or insurance claims — developers are advised to wrap API calls in an async job queue using tools like BullMQ and Redis. The recommended architecture uses a producer to enqueue jobs with deterministic IDs for idempotency, a bounded worker pool to control concurrency, and retry logic with backoff to handle 429 capacity signals. The guide, published on DEV Community, provides end-to-end TypeScript code and notes that the same patterns can be adapted for AWS SQS, Google Cloud Tasks, or other queue systems.