Launching 10 Sep

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For Educators

Video Captions for Educators

Captioning a lecture does two jobs at once: it makes the recording usable for students who are deaf or hard of hearing, and it turns a 50-minute video into something the rest of the class can search and skim.

Both matter more for education than almost any other category, because students rewatch. A recording without a transcript has to be sat through; one with a transcript can be navigated.

  • WCAG-aligned
  • Full-lecture length
  • VTT for LMS
  • Free

Launching 10 September 2026. Join the waitlist for early access.

No spam. One email when we launch, and you can unsubscribe any time.

Why educators teams caption

The parts of captioning that matter most for this kind of video.

Accessibility requirements met

Captions on prerecorded video are a baseline WCAG requirement and a standard obligation for most institutions. Generating them in seconds removes the backlog argument.

Lectures become searchable

A transcript lets a student find the four minutes where you explained the thing they are stuck on, instead of scrubbing through an hour of recording.

Full-length recordings

A complete lecture or a long course module transcribes end to end. No splitting recordings into segments to fit a limit.

Formats your LMS accepts

Export .vtt for Moodle, Canvas, Kaltura and HTML5 players, or .srt for YouTube and editing software. Both come from the same transcript.

How it works

Upload, review, export. No timeline and no timecodes typed by hand.

  1. 1

    Upload your video

    Drop in your educators footage as MP4, MOV, MKV or an audio file. Nothing to install, and no account needed to start.

  2. 2

    Generate captions with AI

    The AI transcribes the lecture, keeps subject terminology consistent across the whole recording, and times each caption to the audio.

  3. 3

    Edit and export

    Correct the terms specific to educators, then download the video with captions burned in, or export a clean .srt or .vtt file.

Captions change how students use a recording

The accessibility case for captioning lectures is settled and non-negotiable, so it is worth spending a moment on the second effect, which institutions consistently underestimate: captions change a recording from something you watch into something you use.

An uncaptioned 50-minute lecture is a linear object. To find the explanation of one concept, a student has to remember roughly when it happened and scrub around until they land on it. With a transcript, the same recording becomes searchable text — they find the term, jump to the timestamp, and watch two minutes instead of fifty.

That is particularly valuable for students working in a second language, who may follow a live lecture at 80% and want to check the parts they missed. It also helps anyone revising under time pressure, which is most of a cohort in the week before an assessment. The caption track you generate for compliance ends up being used far more by students who never needed it for access.

Frequently Asked Questions

Specific to this kind of video, not the generic list.

Can it handle a full-length lecture recording?

Yes. Recordings of an hour or more transcribe end to end, with processing time scaling roughly with duration. There is no need to split a lecture into shorter segments.

How does it cope with subject-specific terminology?

Context-aware transcription handles most technical vocabulary well, and it stays consistent across a long recording rather than spelling a term several different ways. Unusual or newly coined terms are worth a check in the editor.

Which file format should I upload to our LMS?

Use .vtt for Moodle, Canvas, Kaltura and most HTML5-based players. Use .srt if you are uploading to YouTube or importing into editing software. You can export both from one transcript.

Do generated captions satisfy accessibility requirements?

Captions are a core WCAG requirement for prerecorded video, and an accurate reviewed transcript is what satisfies it. The review pass matters — auto-generated captions published without checking are where most institutions fall short.

Can I edit my captions before exporting?

Yes. Correct the transcript, adjust timings, choose a caption style and then export the finished video or a clean SRT or VTT file.

When does Caption Maker launch?

Caption Maker launches on 10 September 2026. Join the waitlist to be notified when editing and exports open.

Post your next video captioned

Caption Maker launches on 10 September 2026. Join the waitlist and stop letting the silent scroll eat your best content.

No spam. One email when we launch, and you can unsubscribe any time.

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