Transloadit Research
We publish the measurements behind practical choices in upload reliability, encoding quality, file size, latency, cost, and compute. Every report separates what the data shows from what it cannot prove.
Published report
August 2022 dataset
A transparent re-analysis of 136 recorded Assembly runs across optimization priority, metadata retention, source format, and JPEG quality.
136
recorded runs
3
open CSV datasets
12
source files
What the first dataset shows
Largest format reduction
81.2%
Average reduction for the two WebP inputs across priority and metadata settings.
Quality 25 reduction
77.6%
Average reduction at quality 25 across ten JPEG and PNG source files.
Research program
Our research program focuses on decisions where a benchmark can replace a vague best practice with a measurable tradeoff.
Video delivery
Measure wall-clock encoding time, visual quality, output size, and processing cost for practical adaptive-streaming ladders.
Codec efficiency
Compare perceptual quality and structural similarity against bytes delivered for modern and established codecs.
Upload reliability
Test completion rate, transferred bytes, and recovery time through packet loss, disconnects, and browser restarts.
Format coverage
Run a documented corpus through preview pipelines and report successful rendering, fidelity issues, and failure classes.
Recognition quality
Score text and speech outputs against reviewed references, broken down by language, media conditions, and error type.
Delivery architecture
Compare first-request latency, cache behavior, bytes processed, and cost for eager and on-demand transformations.
Compute efficiency
Quantify avoided compute and estimated emissions when derivatives are reused instead of transformed again.
Publication standard
