One saved template, 100 fictional recipients and 100 sequential PNG renders. Inspect the measurements, download every output and repeat the experiment with your own Pixelixe account.
Verified outputs
100 / 100Sequential API batch
279.58 secondsMedian API request
2.75 seconds95th percentile request
3.12 secondsThe API returned successful image URLs for all 100 requests. All 100 downloaded files decoded as 1754 × 1240 PNGs, with 100 distinct SHA-256 checksums. Downloads took a further 49.78 seconds and are excluded from the API batch time.
These are observations from one run, not a performance guarantee. Setup, manual preparation and human visual checks are excluded. No manual-time or financial savings were measured.
A saved certificate template with a Poppins font, a decorative frame and named text layers. The UTF-8 CSV changes recipient_name, course_title, issue_date and issuer_name. Names include accents, a long recipient and escaped quotation marks. All recipients and the issuer are fictional.
The runner calls the Image Automation API with format=json, image_type=png, one request at a time and no retries. API latency is curl time_total: it includes network and API response time. The batch clock stops before the PNG downloads begin. The 95th percentile uses the nearest-rank method.
Template creation was completed before this timed run. The runner checks PNG signatures and dimensions, and every downloaded file was then fully decoded for this published experiment. Three representative outputs were visually checked. The client, network conditions, template complexity and service load can change the results; this is not a capacity or concurrency test.
| CSV row | Fictional recipient | API request | Decoded PNG |
|---|---|---|---|
| 1 | Amélie Laurent · 001 | 3.555 s | 1754 × 1240 |
| 2 | Samir Rao · 002 | 3.114 s | 1754 × 1240 |
| 3 | Alexandra-Maria Fernández García · 003 | 2.970 s | 1754 × 1240 |
| 4 | Łukasz Nowak · 004 | 3.104 s | 1754 × 1240 |
| 5 | Zoë Müller · 005 | 2.764 s | 1754 × 1240 |
| 6 | Jean "JJ" Martin · 006 | 2.814 s | 1754 × 1240 |
| 7 | Márton Varga · 007 | 3.222 s | 1754 × 1240 |
| 8 | Søren Hansen · 008 | 2.897 s | 1754 × 1240 |
| 9 | Chloé Bernard · 009 | 2.810 s | 1754 × 1240 |
| 10 | Ana María Silva · 010 | 2.673 s | 1754 × 1240 |
Download the Python runner, the 100-row CSV and the portable source design. Create the template once in your own account, keep your key in PIXELIXE_API_KEY, and run sequentially. Python 3.9+ and curl are required. Rendering uses the allowance and limits of your plan.
The ZIP includes every PNG from this run, the input rows, the measurements, the source template and the runner. No account key or returned account storage URL is included.
# Create your own template first; keep the API key in your environment.
python3 run-benchmark.py --csv certificate-100.csv \
--document-uid YOUR_CERTIFICATE_DOCUMENT_UID \
--count 100 --output my-certificate-runThe API key is sent only to studio.pixelixe.com in an HTTPS Authorization header. Returned storage URLs are used in memory for downloading and are omitted from the public report. See the Image Automation API documentation for account setup.
Inspect the starter design and test a few recipient rows before running a larger batch.
Open the certificate toolStart from the tested CSV workflow and connect your own credentials, template and data source.
n8n starterUse your actual preparation, review and maintenance time when calculating payback. This timing experiment does not establish manual savings.
Open the ROI calculator