Quality Control

Standardised QC Tests for audiovisual content.

Scope

Our group helps to optimise the use of automated Quality Control (QC) systems by improving interoperability. We maintain the QC data model and key specifications, a database of QC tests, their key parameters, examples, and related test material, accessible via the qc.ebu.io tool.

This provides access to hundreds of QC items, each with a detailed description of a test that can be performed on audio-visual material. A public API is available for automated access, and users can create sets of QC items in templates using the web interface. The specifications and schemas that underpin this work are open and available at github.com/ebu/qc.

Deliverables 2026

Deliverables 2025

Deliverables 2024

Deliverables 2023

Deliverables 2022

Deliverables 2021

Deliverables 2020

Deliverables 2018

Deliverables 2017

Objectives

The key goal is to develop and maintain the QC data model, API, and XSD schemas, adding new test categories and tests as the industry's needs evolve.

Also see the QC Implementers subgroup (QCi) for those building automated QC workflows in practice.