Tutorials Enterprise

AI Quality Control and Archive Search for Broadcasters: BATON, Qualify and Moments Lab

By Infinite Creation · Professional · ~16 min

A 1960s mid-century comic book style editorial illustration showing a media library with shelves of tape cases, one person running a finger down a checklist and another watching a monitor with a waveform and a flag marker on a timeline.

The Problem

Two chores pile up in every broadcaster. Files must be checked before delivery, and old footage must be found when someone needs it. Makers now sell AI for both. This guide is for engineers, media managers and archive staff weighing them. It sets out what Interra Systems, Telestream and Moments Lab state, what each leaves without a figure, and how to pilot a tool on your own files. We did not test any tool on this page. Each statement about a tool comes from the maker's own page as read on 8 October 2026, or from a trade source named in the Sources section.

Method

Separate checking from finding

QC tools inspect a file against a standard and report faults. Archive tools describe content so staff can search it. The first judges against rules, the second against meaning. Pilot them separately and measure them separately.

Read what Interra states about BATON

Interra's own page lists checks for format, baseband audio and video quality and metadata, timecode, loudness, and compliance items such as HDR, PSE flashing and DPP. It names neural-network checks for audio and video quality, audio language identification and intelligent artifact detection. It runs in the cloud, on premises or hybrid, with REST and XML-RPC APIs, and lists many video, audio, container and caption formats. It publishes no error rates. A March 2025 release on Norway's NRK says NRK uses BATON on finished programmes and on its streaming file sets. We saw that only as a search summary and did not open it.

Read what Telestream states about Qualify

A Telestream blog post describes AI lip-sync detection that separates a steady shift from a gradual drift, reports findings with confidence values and lets you set tolerances and whether a finding is a warning or a failure. It says the capability is a Tech Preview and gives no accuracy figures. A February 2026 release adds subtitle alignment and spoken-language checks. We read that only as a search summary.

Read what Moments Lab states

Moments Lab's page describes a cloud catalogue that leaves original files where they are, AI indexing of shows, characters and moments, natural-language search through a Discovery Agent, a browser editor and publishing. It lists Adobe Premiere Pro, Amazon S3 and an API as integrations. It does not mention Dalet, which an earlier note of ours had. The customers it names are its own claims.

Pilot QC on files whose faults you know

Run files with known faults and clean files through the tool. Count faults found, faults missed and clean files flagged. Treat every flag as something a person must confirm, and record how long that confirmation takes, since that time is the real cost.

Pilot search on questions with known answers

Ask the archive tool for ten things you know are there and five you know are not. Note whether it finds the right shot, a similar one, or nothing, and whether it says so honestly. A search that returns something for everything is hiding its misses.

What the Method Assumes

A sample of files you already know the faults of, including some that failed delivery before
A sample of archive material and a list of searches you know the right answers to
Your delivery specifications and your current QC templates
A named person to review every flag, because a flag is not a rejection

Gotchas

Set thresholds with the tool's confidence values and revisit them after the first month.
Keep the old QC process alongside the new one until your own counts show the AI catches what the old one does.
Keep humans on archive descriptions that appear on air. A wrong caption on old footage is a factual error.

Knowledge Base

What You'll Learn

A flag from software is a prompt to look, not a verdict. A pilot on your own files is the only evidence that counts.

Why no error rate is the gap

The Interra and Moments Lab pages and the Telestream blog post describe what the tools do. None gives how often they are wrong. A QC tool that misses a fault costs a rejected delivery, and one that flags too much costs staff hours. You can only learn both from a pilot on your material.

Preview features in a delivery chain

Telestream's blog calls AI lip-sync detection a Tech Preview. A preview feature belongs in a trial, not in the check that decides whether a programme is delivered. Ask the maker for the date it becomes a supported product.

Archive search and metadata standards

Whatever an AI index writes needs to end up somewhere durable. Our guide to metadata standards covers sidecars and identifiers, and the archive migration guide covers moving large collections. Ask whether the tool exports its descriptions in an open form.

Where This Fits

AI file checks and archive search sit at the gates Broadcast Media Ingest places between ingest and air.

FAQ

Q: Does AI quality control replace the existing QC process?
A: We did not test any, and no page we read says so. Run both in parallel and compare counts on files whose faults you know.

Q: How accurate is AI archive search?
A: None of the pages we read gives an accuracy figure. Test with questions whose answers you know.

Q: Does Moments Lab integrate with Dalet?
A: Its own page does not mention Dalet. Ask the maker directly.

Vocabulary

QC Quality control. Checking a file against technical and compliance rules for picture, sound, timing, loudness and captions before it is delivered or aired, so that a fault is found in the facility and not by a viewer.

PSE Photosensitive epilepsy. Broadcast rules limit flashing images and repeating patterns that can trigger seizures in some viewers, and automated QC tools such as BATON include checks for them before a programme goes to air.

Lip-sync drift A gradual loss of alignment between picture and speech that builds over the length of a programme, as opposed to a steady offset that is the same throughout. A file may begin in sync and end clearly out of it.

Tech Preview A release stage in which a maker shows a feature to customers before supporting it fully, and asks for feedback. Telestream uses the term for its AI lip-sync detection, which is why it belongs in a trial and not yet in a gate.

Sources

Three makers' pages were read on 8 October 2026. Two further releases were seen only as search summaries. Nothing was tested. Checked 8 October 2026.

Interra Systems, AI/ML-powered media QC (BATON). Lists checks, neural-network quality checks, language identification, artifact detection, deployment options and APIs. Publishes no error rates.
Telestream, AI lip sync detection in Qualify. Describes shift and drift detection with confidence values and configurable thresholds, and states it is a Tech Preview.
Moments Lab, home page. Describes cloud cataloguing, AI indexing, natural-language search, a browser editor and integrations. Does not mention Dalet.

Interra's March 2025 NRK release and Telestream's February 2026 release were seen only as search summaries and were not opened. Telestream's solution brief PDF could not be read as text. No page gives an error rate. The design notes we started from called Telestream's features "high confidence" on vendor releases, and this guide does not.