Subtitles for Online Courses
Students finish courses they can actually read.
Upload a lecture, get accurate captions back in minutes. Export SRT or VTT for Udemy, Teachable, Coursera, or your own LMS — or translate the whole course into 100+ languages for learners outside your home market.
*No credit card *SRT & VTT export *100+ languages
Captions are the difference between
watched and finished
notes, and often watch on mute at a desk or on a commute. Captions make all of that possible.
01
Muted playback
Most learners watching on a phone or at work default to silent playback. Without captions, your lecture is a blank screen.
02
Non-native speakers
A large share of course platforms’ traffic comes from outside English-speaking markets. Captions let those learners follow along at full speed.
03
Accessibility
Deaf and hard-of-hearing learners need captions to access the material at all — and many institutions require it by policy.
03
Searchable content
A transcript turns your lecture into indexable text — useful for in-course search, show notes, and repurposed blog content.
From raw lecture to published
subtitle file
01
Upload your lecture
Drop in a video or audio file — screen recording, webcam lecture, or a full course module. No formatting required.
02
Generate and edit captions
Captions are transcribed automatically with timestamps. Fix a word, adjust timing, or rename a technical term directly in the editor.
03
Export or translate
Download SRT or VTT for your LMS, burn captions into the video, or translate the whole track into another language before exporting.
What's included
Built for course libraries, not one-off clips
SRT & VTT export
Standard subtitle files that drop straight into Udemy, Teachable, Thinkific, Kajabi, or a custom LMS.
100+ language translation
Translate an entire course transcript at once, keeping timestamps intact for every language track.
Inline correction editor
Fix mistranscribed jargon, code terms, or names in a text editor synced to the video — no timecode math.
Batch processing
Queue an entire module or full course at once instead of captioning lectures one at a time.
Burned-in or soft subtitles
Deliver open captions baked into the video for platforms with no native subtitle support, or soft files for those that do.
Speaker-aware transcripts
Panel discussions and interview-style lectures keep separate speaker lines instead of one merged block.
Every kind of course, one workflow
Udemy & Skillshare
Independent instructors
Meet platform caption requirements and reach learners browsing in a language other than the one you recorded in.
Corporate L&D
Internal training teams
Caption onboarding and compliance videos so employees can follow along at their desk, on the floor, or in a second language.
Coding bootcamps
Technical instructors
Keep code snippets, syntax, and command-line output legible in the transcript — not garbled by auto-transcription.
Universities & MOOCs
Lecture capture teams
Caption recorded lectures at scale to meet accessibility policy without transcribing every session by hand.
Corporate L&D
Internal training teams
Caption onboarding and compliance videos so employees can follow along at their desk, on the floor, or in a second language.
Universities & MOOCs
Lecture capture teams
Caption recorded lectures at scale to meet accessibility policy without transcribing every session by hand.
Frequently asked questions
SRT and VTT, the two formats accepted by nearly every course platform and LMS. You can also export a burned-in (open caption) version of the video directly if your platform doesn’t support separate subtitle files.
Yes. Upload a full module or course folder and queue it for batch processing, then review and export each lecture’s captions individually or all at once.
Auto-transcription handles most spoken content well, but technical terms, code, and product names sometimes need a manual pass. The inline editor lets you fix specific words without touching timestamps.
Yes. Once a transcript exists, you can translate it into any of 100+ supported languages, generating a new subtitle file with the same timestamps for each language.
Captioning removes two common drop-off points: viewers watching on mute, and non-native speakers losing the thread mid-lecture. Removing those friction points tends to help learners stay through to the end, though results vary by course and audience.
Your next lecture upload, captioned before your coffee's cold
Free to try on your first lecture. No credit card, no watermark on the transcript.