Transcribe YouTube Shorts into a document you can study
YouTube Shorts are often dense. An explainer might cover three concepts in 45 seconds. A tutorial might fly through five steps. The transcript lets you pause, study, and reference without rewatching at 0.5x speed. Sftir makes that transcript clean, readable, and permanent.
How sftir helps
Optimized for fast speech
Shorts creators talk fast. Sftir's speech-to-text keeps up — dropped syllables, auctioneer-speed explanations, technical jargon all come through clearly.
Timestamps for every step
When a Short covers multiple steps or points, each gets its own timestamped paragraph. Jump straight to step three without rewatching step one.
Exports to any tool
Copy to Notion, dump into a Markdown note, paste into Google Docs. The transcript is plain text, yours to use.
How it works
Save the Short
Paste the YouTube Shorts URL into Sftir, or share from the YouTube mobile app into the Sftir shortcut.
Transcription + summary
Sftir pulls the audio, transcribes it, generates a one-paragraph summary, and tags the Short by topic — all in the background.
Open, read, reference
Your library shows the Short with its transcript, summary, key moments, and a link back to the original.
For the part-time student
Lena takes a SQL Short from a content creator she trusts, transcribes it with Sftir, and adds the transcript as a comment in her own query file. Six months later when she forgets the syntax, the transcript and the original timestamp are right there in her repo.
Frequently asked questions
Does it work with YouTube's own caption file?
Sftir primarily transcribes from the audio, which is usually more accurate than YouTube's auto-captions. It does read the uploaded captions (if the creator provided human-written ones) as a supplement.
Can I transcribe a Short I made myself?
Yes — creators often use Sftir to transcribe their own work for captions, blog posts, or content repurposing. As long as the video is published on YouTube, it works.
What about Shorts with only music?
Music-only Shorts produce no transcript. Sftir flags them as non-speech and stores the metadata (title, description, tags) so they're still searchable by non-spoken attributes.
Is there a limit on Short length?
Shorts are capped at 60 seconds by YouTube, so there's no practical length concern for Sftir. Longer YouTube videos (not Shorts) aren't the core use case.
Related
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