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Before transcription existed at scale, spoken words were temporary. A broadcast aired and evaporated. A lecture happened and existed only in notes. A meeting concluded and lived only in memory. If you wanted to preserve what someone said, you had to either remember it or manually write it down. Neither was reliable. Then transcription changed […]
What is Transcription? Read More »
A content team gets a request: “Can you add captions to this video?” They deliver a transcript instead, a clean text document with every word spoken, and assume the job is done. It isn’t. The video still has no on-screen text, no timing, no way for a viewer to follow along while watching with the
What’s the Difference Between Captioning and Transcription? Read More »
A viewer scrolling through your streaming platform on mute during their commute hits play on your latest episode. Within three seconds, the captions lag half a sentence behind the dialogue, a speaker change goes unmarked, and a key plot line lands as garbled text. They close the app and move to the next title in
Have You Been Following These Closed Captioning Best Practices? Read More »
It’s Tuesday morning. Your team spent 40 hours creating captions for a 90-minute educational documentary. Color-coded speakers, time-coded for exact sync, positioned to avoid on-screen action. It’s beautiful work. You submit to Netflix. Three hours later, the rejection email lands: “Captions exceed maximum line length on 847 instances. Platform requires maximum 42 characters per line.
Closed Captioning Guidelines Read More »
Large broadcast news operations ingest huge volumes of content every day, all of which must be logged and reviewed to determine which assets, illustrated by which video clips, will be presented to viewers. It’s a tedious and time-consuming task, performed by dedicated teams who manually review incoming content and then describe or notate that content,
How AI Will Simplify Your Broadcast News Workflow Read More »
Learn the difference between closed captions and subtitles. When to use captions for accessibility, when to use subtitles for localization, and how to implement both effectively. The choice that shapes your audience reach Your content team just finished editing a new training video. It’s polished, professional, and ready to deploy. Now comes the decision: should
Captions vs Subtitles: When to Use Each and Why It Matters Read More »
A content owner preparing a title for distribution across Netflix, Prime Video, and Disney+ quickly discovers something frustrating: the same spoken dialogue needs to be captioned three different ways. Different character limits per line. Different line counts. Different placement rules. Different technical formats for delivery. This isn’t a hypothetical edge case. It’s the default reality
AI-Based Closed Captioning for New Streaming Platform Requirements Read More »
The science of artificial intelligence (AI) has become indispensable to the art of captioning. The rise of AI in captioning and transcription solutions can be attributed to many factors. However, the one that stands out is the rise of voice technology. Speech-to-text technology is the most rapidly emerging technology in the closed-captioning arena. The growth
Intelligent Content Creation and Distribution With Artificial Intelligence Read More »
A study from Valuate Reports found that the global captioning and subtitling market is projected to reach US$ 466 million by 2026 from US$ 277.3 million in 2019, at a CAGR of 7.7. The report further states that the United States of America and Europe would be the largest markets for captioning and subtitling solutions.
Transforming Captioning Landscape with AI Read More »
Every media organisation has a version of the same conversation. Someone needs a clip. It exists. Nobody can find it. The archive is not the problem. The description of the archive is. And describing media has always been the job nobody has enough hours for, which is why metadata is the layer most facilities know
MetadataIQ: Automatic Metadata Generation Explained Read More »
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