Multimodal checks
Image QC for brand and quality, text QC for accuracy and tone, audio QC for voice and dubbing, and video QC for translation inside the finished cut.
Operations
AI Quality Control for Every Asset You Ship
Multimodal QC agents check image, text, audio, and video before anything reaches an audience — brand consistency, translation accuracy, cultural fit, and compliance — and return a verdict you can act on rather than a score you have to interpret.
Free to start · 75+ languages · No credit card required
Capabilities
What Quality Control does
Back-translation agent
Translated output is translated back and compared, so meaning drift is caught mechanically rather than spotted by luck.
AI proofreading
A proofreading agent reviews as both a language expert and a subject-matter expert, flagging what a generic grammar check would miss.
Region-aware cultural rules
A cultural-rule engine with severity weighting scores content per region and returns approved, review, or blocked with reasons.
Content moderation
An in-process safety model screens generated and uploaded media before it enters the workflow.
Automatic remediation
Flagged images can be regenerated into a compliant version for that region straight from the decision, instead of going back into a design queue.
How it works
Four steps, one orchestrated run
Every stage runs on the same platform, so nothing is exported, re-uploaded, or handed between tools.
- 01
Submit or auto-trigger
QC runs automatically inside creation and translation workflows, or on demand for assets produced elsewhere.
- 02
Classify
Each asset is checked across the relevant modalities against your brand rules, glossary, and region rule sets.
- 03
Verdict and reasons
You get approved, review, or blocked with per-region cultural scores and the specific findings behind the call.
- 04
Review or auto-fix
Route to a human reviewer, or trigger a compliant regeneration directly from the decision.
Who it is for
Teams using Quality Control
High-volume creative pipelines
Check thousands of generated assets without a proportional review team.
Regulated industries
Enforce claim rules and required disclosures before anything is published.
Multi-market campaigns
Catch the imagery or phrasing that works in one market and fails in another.
Agency and LSP delivery
Attach an evidence-backed quality report to every batch you hand to a client.
FAQ
Questions people ask
What does QC actually check?
Brand and visual quality on images, accuracy and tone on text, voice and dubbing quality on audio, and translation correctness inside finished video. Each check produces findings, not just a pass or fail.
How does back-translation work?
Translated output is translated back into the source language and compared against the original. Meaning that shifted in translation shows up as a concrete difference rather than being caught by chance in review.
Can QC block content automatically?
Yes. Verdicts are approved, review, or blocked, with severity-weighted cultural scoring per region. You decide which verdicts stop a workflow and which route to a human.
Which models grade the content?
Frontier models are used as graders, but under Vitra's own rubric, thresholds, and rule engine. The scoring logic and region rules are Vitra's, so results stay consistent even as underlying models change.
Start with Quality Control. Grow into the whole platform.
Everything in Vitra Universe shares one translation memory, one brand kit, and one quality bar — so the work you do here makes everything you do next faster.