Blog post
Queued PDF job benchmark from April 28, 2026
We benchmarked four queued PDF flows to compare submit overhead against end-to-end completion time in the shared async runtime.
Updated 2026-04-28
Study scope
On April 28, 2026, we also measured the queued side of the public tool runtime with the same benchmark harness.
This pass covered:
repair-pdfocr-pdfredact-pdfpdf-to-pdfa
Each job used 3 runs and a fixed 250ms mock upstream delay so we could split
submit overhead from total end-to-end completion time.
Key findings
- Submit latency split into two bands:
repair-pdfandocr-pdfaveraged138.10msto142.69ms, whileredact-pdfandpdf-to-pdfaaveraged19.55msto23.83ms. - Total median runtime stayed inside a relatively tight band from
343.21msto429.05ms. pdf-to-pdfaposted the fastest total p50 at343.21ms.ocr-pdfposted the slowest total p50 at429.05ms, which is still within the same operational envelope as the rest of the queued group.
Queued benchmark table
| Tool | Submit Avg | Total Avg | Total P50 |
|---|---|---|---|
repair-pdf | 138.10ms | 510.29ms | 394.15ms |
ocr-pdf | 142.69ms | 499.41ms | 429.05ms |
redact-pdf | 23.83ms | 436.32ms | 410.22ms |
pdf-to-pdfa | 19.55ms | 344.28ms | 343.21ms |
Download the raw data
Methodology notes
- The benchmark measures public Astro submission, queueing, polling, and download behavior as one flow.
- The mock upstream delay is intentionally fixed so we can spot app-layer drift without conflating it with real PDF rendering cost.
- These numbers are operational timing signals, not claims about production file fidelity or full output-quality.
Press-ready angles
- The queued runtime is currently keeping end-to-end medians inside a
343msto429msband under fixed mock conditions. - Intake overhead is now low enough on redaction and PDF/A that queue and completion time dominate the user-visible wait.
- OCR and repair are the first queued tools to watch as real upstream variance and larger files enter the mix.
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