Who Wrote That Garbage Caption at 1 A.M.? I Found Out

You know the moment. It's midnight, you're four episodes deep, and the subtitle reads: "[indistinct murmuring]" over a scene where two people are very clearly having a full conversation about a murder.

Somebody wrote that. Or — increasingly — something wrote that. I went down the rabbit hole to figure out which.

The Chain Is Longer Than You Think

Here's the part nobody mentions: when a show drops on a streaming service, the captions were almost never made by the same people who made the show. There's a whole invisible supply chain. A network hires a caption vendor. The vendor farms the work out to freelancers or subcontractors. Sometimes there's another layer. By the time a caption reaches your screen, it may have passed through three or four companies and exactly zero people who watched the actual show.

A captioner I'll call Dana (she asked me not to use her real name because her clients are touchy about this stuff) walked me through her workflow. She gets a video file, often without context, sometimes without the finished music mix. She has a window — for a 45-minute episode, she might get a few hours. Live captioning is worse. News broadcasts and live sports are captioned in near-real-time, which means the person typing is literally transcribing a stranger's words as fast as they're spoken, at up to 300 words per minute.

"People assume typos mean laziness," Dana told me. "Typos usually mean I had ninety seconds and a character named Saoirse."

Enter the Robots

The economics changed fast. Automatic speech recognition got good — not perfect, but good enough that vendors started running AI transcription as a first pass, with humans cleaning up after. That cleanup job pays less than doing it from scratch, so guess what happened to the experienced captioners.

The tells are all over your screen. Humans write "[tense music swelling]"; machines write "[music]". Humans know a character saying a name into a phone is dialogue, not "[inaudible]". Machines love to confidently transcribe a mumbled word as a completely different word, which is how you get a crime drama where someone "mourns the victim" and the caption swears they said "burns the victim."

And it's not just English. Localization pipelines for foreign-language subs are even more compressed — sometimes machine-translated, lightly edited, and shipped for a global launch that happens at the same second in 40 countries. The slightly-off English subs on that Korean drama you love? Somebody had one night and a spreadsheet.

Human or Machine? A Quiz

I pulled some (lightly paraphrased) real caption disasters. Guess which came from a rushed human and which came from a machine:

1. "[speaks Spanish]" — over a character speaking Spanish.
2. "Thank you for making me a sandwich" — during a solemn funeral eulogy. (The actual line: "thank you for making me the person I am.")
3. A character's name rendered three different ways in one episode.
4. "[crying]" over a scene of a baby laughing.

Answers: 1 and 3 are classic human-under-deadline moves — the fastest honest workaround and a consistency slip. 2 and 4 smell like machine output: confident, context-free, weirdly specific in the wrong places. A tired human wouldn't invent a sandwich at a funeral. A model absolutely would.

Does It Actually Matter?

For a lot of readers, captions aren't a nice-to-have anymore. They're the default — half my group chat watches everything with them on, in noisy apartments and quiet ones. For deaf and hard-of-hearing viewers, they're not a preference at all; they're the whole show. So when the captions are machine-sloppy, that's not a quirky footnote. That's a worse product for the people who need it most.

Dana's take: "You can tell when a caption was written by someone who cared. We notice the difference. Viewers notice it too, even if they can't name it."

So the next time a midnight caption makes you laugh at the wrong moment — spare a thought for whoever, or whatever, typed it. There's a decent chance they had four minutes, no context, and a character named Saoirse.