What Embeddings does with a Markdown file, and where a video fits

Embeddings takes Markdown through a chunk of text and nothing else, since that is the entire input, and that is the door this page is about. The question worth asking is what a video looks like by the time it arrives, because Embeddings never sees the video itself. It sees whatever the conversion handed over, and nothing else.

Embeddings averages meaning across whatever it is handed, furniture included. What comes out of a video here is the spoken words as punctuated paragraphs, with the title of the source and the detected language on top, so the structure Embeddings is looking for is actually present instead of merely implied. That is the entire trick, and there is nothing clever underneath it.

What survives from a video into Embeddings

The conversion drops the timeline, the thumbnails, and everything that was shown on screen without ever being said before Embeddings ever sees them, because none of it carries meaning into Embeddings and all of it costs something. What it keeps is the part you would otherwise have retyped by hand.

• The spoken words come through punctuated and cut into paragraphs, not as one unbroken block, and Embeddings receives it as structure rather than as something to infer.
• The title of the source travels with the transcript, which is the part Embeddings would otherwise have to reconstruct on its own.
• The detected language is stated rather than assumed, so nothing downstream of Embeddings has to guess at it.

What Embeddings never gets back from a video

Every conversion costs something, and a page listing only the gains is a sales page. Here is what a video gives up on the way to Embeddings, stated plainly enough that you can decide against it.

• Everything shown and never said is gone, including the slides behind the speaker, and Embeddings will not get it back from anywhere.
• Speaker turns are not labelled, so a two person conversation reads as one voice, so nothing you build in Embeddings should depend on it.
• The timing goes once the paragraphs are joined, so nothing points back at a moment, which is a real cost inside Embeddings and not a rounding error.

The Video to Markdown step behind this Embeddings page was measured

Groq Whisper behind our own extraction machine does the conversion, and it was proven end to end on 30 August 2026: a source that had never been converted before came back with its title, its language and its spoken text, with the cache switched off so nothing was recycled. That is one run on one day and not an average, which is exactly why the date travels with the claim instead of being left out of it. The same output is what Embeddings would have received.

This is the most fragile family we run, at 45 percent failure over thirty days, because the platforms refuse extractors whenever they feel like it. Embeddings has no way of telling you any of that from the inside, so it gets said here instead, on the page that sent you there.

Once the video is Markdown, what to do inside Embeddings

With the Markdown in hand, check a few nearest neighbours by hand before embedding an entire corpus. That is a Embeddings habit rather than a conversion setting, and it is where most of the value of converting a video in the first place actually lands.

The constraint worth knowing before you start: the vector has no idea which words were content and which were layout. It bites the same way whether the Markdown came out of a video or out of something else entirely, but it bites hardest on long documents, which is what a video usually is.

What we will not pretend about Video in Embeddings

• Embeddings will not let you inspect a vector, only compare it to another one, and converting a video first does not change that in the slightest.
• page furniture repeated across chunks pulls unrelated passages toward each other, which is a Embeddings behaviour rather than anything the video conversion did.
• The conversion costs half a credit and the price is shown before the video is sent, whether the Markdown ends up in Embeddings or nowhere at all.