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AstraQC

Automated and operator-assisted media quality, compliance and evidence workflows for technical, timed-text and content-review gates.

Product overview

AstraQC is designed as a continuous evidence layer rather than a single pass/fail screen. It can combine machine checks, timed-text verification, content-warning evidence, media diagnostics and operator decisions so downstream systems know what was tested, what passed and what requires intervention.

Astra positioning: AstraQC can operate as part of the Trendest Studio / Trendest TV environment or be productised independently as a SaaS/API/SDK or enterprise integration depending on the customer workflow. Product scope and commercial readiness can vary by deployment.

CORE CAPABILITIES

What AstraQC is designed to handle

Container, codec, duration and stream-structure validation
Audio/video sync and continuity checks
Black/freeze/silence and corruption heuristics
Loudness and true-peak checks
Subtitle/caption presence, timing and formatting validation
Content-warning and classification evidence workflows
Frame/timestamp-linked evidence for operator review
QC status handoff to MAM and publication gates
Re-run, exception and waiver history
Machine-readable QC contracts for downstream automation

Technical architecture

Probe and decode validation pipelines
Timeline-aligned evidence stores
Timed-text parsers and cue-duration analysis
Waveform, loudness and silence metrics
Rule packs by platform, territory or customer
Future computer-vision and audio-understanding agents for anomaly detection and classification
DEPLOYMENT

Standalone or integrated

Deployment can range from a focused cloud service integrated with an existing customer stack to a deeply connected module inside the AYA platforms. API boundaries, event identifiers and common metadata are intended to keep the product composable.

SECURITY + OPERATIONS

Enterprise operating discipline

Relevant production deployments require role-based access, secrets management, audit history, environment isolation, backup/restore strategy, health monitoring, change control and data-retention policies appropriate to the customer and jurisdiction.

Media-industry use cases

ASTRA ADVANTAGE

Why the shared architecture matters

QC evidence can remain attached to the asset through MAM, scheduling, playback and monetisation
Operator review is combined with automation instead of hidden behind opaque scores
AstraQC can be sold as a standalone compliance/evidence service or used as a gate inside Studio
FUTURE-READY EVOLUTION

Technology directions

Roadmap themes, not claims of current universal implementation.

AI-assisted visual defect detection
Speech-to-text cross-checking against subtitles
Automated accessibility scoring
Perceptual-quality models for encode optimisation
Provenance-aware QC for AI-modified or restored content
Continuous QC during live and linear playout
STANDARDS + ECOSYSTEM

Relevant industry references

AYA products are designed to interoperate with established media and advertising ecosystems where commercially required.

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