Transcribe Coursera to Text
Online learning platform with university courses and lectures.
Works with publicly available audio & video. DRM-protected content is not supported.
How to Transcribe Coursera
1
Copy the Coursera lecture video URL.
2
Paste it into STT.ai and select your language and model.
3
Click Transcribe to create study notes from the lecture.
Why Use STT.ai for Coursera?
Just Paste a URL
No downloads or extensions needed
10+ AI Models
Whisper, Canary, and more
100+ Languages
Auto-detection or manual
Export TXT, SRT, VTT, DOCX
Subtitles, notes, documents
Frequently Asked Questions
Paste any public Coursera URL into STT.ai and we'll fetch the audio/video, run it through your chosen AI model, and return the transcript. No download step required.
No — STT.ai accesses publicly-available Coursera content directly. Private or paywalled Coursera content requires you to download it manually with the original account, then upload the file.
Yes. STT.ai includes 600 free minutes/month — usable for Coursera URLs the same as uploaded files. Paid plans starting at $5/month extend per-file limits.
Free users can transcribe Coursera content up to 1 hour per item; paid plans extend that to 8+ hours per item, which covers full podcast episodes, lectures, and live streams.
For pre-recorded Coursera content, paste the URL and we handle the rest. For live Coursera streams, use STT.ai's live-transcription tool — point it at the stream URL and get captions in real time.
DRM-protected Coursera content cannot be transcribed — we don't bypass DRM. For DRM content, capture the audio output through your OS (system audio recorder, OBS) and upload the resulting file directly.
Yes. 100+ languages, auto-detected by default. For mixed-language Coursera content, our models handle language switches mid-clip.
Yes. Speaker diarization runs on every Coursera URL transcription — Speaker 1, Speaker 2, ... labels you can rename in the editor. Works for Coursera interviews, debates, panels.
Yes. Every Coursera transcript exports as SRT or VTT — compatible with Coursera's own player (if it supports custom subtitles) and every major video platform.
Coursera URL transcription accuracy depends on the audio quality of the source — clear studio audio reaches 93-95% with our best models. Low-bitrate streams or noisy field recordings can be lower.
Coursera transcripts are private to your account by default. Pro plans add client-side encryption — even STT.ai can't read them without your key. Source audio is deleted after transcription.
Yes. Submit multiple Coursera URLs through the REST API or the in-app batch upload — each gets queued and you're notified by email when each finishes. Useful for podcast back-catalogs, course archives, and Coursera channel migrations.
Beyond Coursera, STT.ai supports 1,300+ platforms — YouTube, Vimeo, SoundCloud, podcast hosts, video-conference exports, and more. The /transcribe-from/ section lists every one.