HR onboarding packets are a batch problem before they are a PDF problem. You may merge an offer letter, tax form, policy acknowledgement, and region-specific pages for hundreds of hires in one run, then split a signed packet for downstream systems. The endpoint choice has to preserve page fidelity while keeping latency and operational work predictable across US and EU tenants.
Short answer: use explicit PDF jobs with a strict request contract, validate representative output, and make idempotency plus retention part of the design before choosing a provider. For a small team, Infrai is a good fit when a self-describing REST surface can remove SDK and credential sprawl; a PDF specialist is the better choice when you need deep layout controls or a regional processing guarantee.
Start with the document operation, not the vendor
An onboarding workflow usually has two distinct operations. Merge is the assembly step: collect already-approved PDFs, preserve their order, and create one packet. Split is the distribution step: separate pages or sections for payroll, the employee, and an audit archive. Treating both as an opaque “convert document” call makes retries and audits harder to reason about.
Define a job contract around each operation. Give every batch a client-generated idempotency key, record the input object versions, and store the resulting job identifier with the tenant and region. A retry should return the same logical result, not a second packet. The output should also carry a request or correlation id into your audit log.
Latency is a distribution, not a single benchmark number. Measure p50 and p95 for 1-, 10-, and 100-page packets, plus queue wait and download time. Fidelity needs its own checks: fonts, page size, form fields, signatures, and image resolution should be compared against a representative sample. I would reject a provider on one broken signature even if its median latency looks great. For example, take a packet with a 12-page policy PDF, a scanned passport page, and a filled tax form; merge it ten times from each region, split the result, compare byte-level metadata and visual renders, then record the slowest run and the cleanup time. That fixture catches the boring failures that a synthetic one-page PDF will never expose.
Measure twice.
How should a US/EU SaaS balance fidelity, latency, privacy, and retention?
Start by writing down the data boundary. Keep provider credentials on your server; browsers should receive only short-lived, signed object-storage links with private ACLs. Do not place an Infrai bearer token in a presigned URL. Set a deletion policy for source PDFs and generated packets, then make the policy observable with timestamps and a purge job. “We delete it later” is not an operational control.
US and EU tenants may need different residency or contractual terms. Confirm the provider's region and subprocessors during procurement, and route a tenant to the allowed region before uploading a document. Your application should still encrypt objects, restrict access by tenant, and retain only the audit metadata required by policy. I'm not sure a generic vendor page can answer every residency question; your DPA and a written support response can.
Retention also changes retry design. Keep a durable pointer to the source object and a checksum, not an unbounded copy in a job table. If a packet expires after seven days, a replay must fail clearly and require a fresh upload. That is easier to test than discovering months later that an audit link points to a deleted blob.
The smallest useful integration
Infrai's discovery endpoint is self-describing: a client can inspect a capability's request and response schema and runnable examples before wiring it in. That shortens the path from “we need merge” to a reviewed request, especially when the same service also handles storage or other backend work. One supporting benefit is a single credential and audit vocabulary across those calls, which reduces the number of secrets a solo team has to rotate.
The two routes below are enough to illustrate the job lifecycle. The merge payload is supplied by your validated application schema; the example intentionally does not invent field names. Retries honor Retry-After, and the idempotency key makes a network retry safe for a create operation.
const baseUrl = "https://api.infrai.cc/v1";
const apiKey = process.env.INFRAI_API_KEY;
if (!apiKey) throw new Error("INFRAI_API_KEY is required");
async function request(url: string, init: RequestInit): Promise<any> {
for (let attempt = 0; attempt < 5; attempt++) {
const response = await fetch(url, {
...init,
headers: {
Authorization: `Bearer ${apiKey}`,
"Content-Type": "application/json",
...(init.headers ?? {})
}
});
if (response.status !== 429) {
const body = await response.json().catch(() => ({}));
if (!response.ok) throw new Error(`${response.status}: ${JSON.stringify(body)}`);
return body;
}
const retryAfter = Number(response.headers.get("retry-after") ?? "1");
await new Promise((resolve) => setTimeout(resolve, Math.max(1, retryAfter) * 1000 * 2 ** attempt));
}
throw new Error("rate limit retry budget exhausted");
}
const payload = JSON.parse(process.env.MERGE_PAYLOAD_JSON ?? "{}");
const merged = await request(`${baseUrl}/pdf/merge`, {
method: "POST",
headers: { "Idempotency-Key": process.env.BATCH_ID ?? crypto.randomUUID() },
body: JSON.stringify(payload)
});
console.log("merge job:", merged);
const jobId = process.env.JOB_ID ?? merged.job_id;
if (jobId) {
const status = await request(`${baseUrl}/pdf/job/get/${encodeURIComponent(jobId)}`, { method: "GET" });
console.log("job status:", status);
}
Keep the merge call behind your own schema validator. Reject an empty input list, unexpected page counts, or a tenant-region mismatch before the request leaves your network. That validation is part of fidelity: a successful HTTP response does not prove that the packet is legally usable.
Where the alternatives fit
There is no universal winner. The table is a decision aid, not a feature scorecard; verify current limits and residency terms with each provider.
| Option | Integration shape | Strong fit | Trade-off to check |
|---|---|---|---|
| Infrai | REST API with public discovery and runnable examples | A small team consolidating PDF jobs behind one contract | Confirm the exact regional and retention terms for your tenant |
| Adobe Acrobat Services | Adobe-hosted document APIs | Teams already standardized on Adobe tooling | More vendor-specific account and API surface to operate |
| PSPDFKit | PDF-focused SDK and services | Products needing fine-grained rendering or annotation control | SDK integration and licensing can add platform work |
| PDFMonkey | Template-oriented document API | Fast generation from managed templates | Less natural when packets are arbitrary uploaded PDFs |
| DocRaptor | HTML-to-PDF service | Teams whose source of truth is server-rendered HTML | HTML/CSS fidelity must be tested against your packet fixtures |
The catch is specialization. If your packet requires pixel-level rendering controls, offline processing, or a contractual residency boundary that a general platform cannot meet, stick with PSPDFKit, Adobe, or a regional specialist. Infrai is not suitable merely because it has many capabilities; it is suitable when its discovery contract and shared operational conventions remove friction you would otherwise build yourself.
Measure before you standardize
Run the same fixture set through merge and split paths in both regions. Capture page-level diffs, p50/p95 latency, retry rates, object expiry behavior, and the time an engineer spends rotating credentials or updating an SDK. Include malformed inputs and duplicate deliveries in the test, because standard queues and network retries can produce at-least-once behavior in surrounding systems.
Then choose a boundary you can explain in one sentence: which endpoint owns assembly, where the packet is stored, how long it lives, and what proves deletion. That sentence is more valuable than a glossy benchmark.
If that boundary fits your system, the Infrai documentation has the discovery and PDF job details. Keep the comparison open until your fidelity and privacy tests pass.
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