Question 1

How does Newsie work?

Accepted Answer

Connect your broadcast feed, cloud bucket or archive. Newsie's AI detects story boundaries as they happen, separates each segment, generates a transcript, applies metadata tags and packages every story as a discrete asset ready to distribute, archive or license.

Question 2

What broadcast sources does Newsie support?

Accepted Answer

Newsie connects to any live streaming source, cloud storage bucket or existing archive. If you can stream it or store it, Newsie can process it.

Question 3

Does Newsie work in real time?

Accepted Answer

Yes. Newsie processes live broadcasts as they air. By the time a bulletin ends, every story in it is clipped, transcribed, tagged and ready to use.

Question 4

What metadata does Newsie generate?

Accepted Answer

Newsie automatically generates transcripts, captions, named entity tags (people, places, organisations), topic categories, keywords and story-level timestamps. Every piece of content becomes queryable.

Question 5

Does Newsie produce vertical video?

Accepted Answer

Yes. Every clip is automatically formatted as vertical video alongside the broadcast version, ready to publish to TikTok, Instagram Reels and YouTube Shorts without any additional editing.

Question 6

How does Newsie help broadcasters publish to social media faster?

Accepted Answer

Newsie removes the manual steps between broadcast and social. Every story is clipped and formatted automatically, including vertical video, allowing newsrooms to publish in one click as stories air rather than hours later.

Question 7

Can Newsie help media monitoring companies?

Accepted Answer

Yes. Newsie automates the ingestion of broadcast content at scale, delivering real-time, structured coverage of every bulletin without manual recording or processing. It replaces costly, labour-intensive monitoring workflows with a single automated feed.

Question 8

Can broadcast content be used to train AI models?

Accepted Answer

Yes, and Newsie makes it significantly easier. Our platform produces timestamped, transcribed, topic-tagged broadcast news at scale, structured exactly the way AI training pipelines require. Broadcast news represents one of the richest and most diverse real-world datasets available for training news-aware language models and multimodal AI systems.

Question 9

What is broadcast metadata and why does it matter?

Accepted Answer

Broadcast metadata is structured information attached to a video clip: transcript, named entities, topics, timestamps, captions and more. Without it, broadcast content is effectively unsearchable and unsellable. With it, every story becomes a licensable asset that can be queried, distributed, monetised and fed into AI systems.

Question 10

Can Newsie enable contextual advertising in broadcast news?

Accepted Answer

Yes. Story-level metadata makes it possible to match advertising to news content with a precision that broadcast has never had before. A health story triggers a relevant health ad. A crime story triggers a home security ad. Newsie provides the metadata layer that makes this possible in real time.

Question 11

How is Newsie different from traditional media monitoring tools?

Accepted Answer

Traditional media monitoring tools record and store broadcast content but do little to structure it. Newsie goes further, automatically segmenting, transcribing and enriching every story so it becomes a usable data asset, not just a video file in an archive.

Question 12

Where is Newsie available?

Accepted Answer

Newsie is available globally. We are currently live with customers in Australia and running active trials with broadcasters in the United States.

Question 13

Who is Newsie built for?

Accepted Answer

Newsie is built for TV news broadcasters, media monitoring companies, AI companies requiring structured news data, content distributors and aggregators, and advertising technology platforms.

What is Newsie?