Transcribe Linked In to Text
Transcribe Linked In audio and video content to text.
Works with publicly available audio & video. DRM-protected content is not supported.
How to Transcribe Linked In
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1. Copy the Linked In URL
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2. Paste it into STT.ai and select your AI model
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3. Get your transcript with timestamps
Why Use STT.ai for Linked In?
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
What to do with your Linked In transcript
Captions for accessibility & reach
Most viewers watch with sound off — captions lift completion rates.
Hard-subbed video for repurposing
Burn the captions in with /tools/burn-subtitles/ for cross-platform clips.
Quote extraction for cross-posting
Pull the strongest lines for thread-style reposts on other platforms.
Frequently Asked Questions
Paste the Linked In post or clip URL into STT.ai. We grab the audio from the short-form video, transcribe it in seconds, and produce ready-to-burn captions — handy for reposting the same Linked In clip with subtitles.
No — STT.ai reads publicly-available Linked In content directly from the URL. Private or age/region-gated Linked In content has to be downloaded manually with the original account first, then uploaded as a file.
Yes. STT.ai includes 600 free minutes/month — usable for Linked In URLs exactly like uploaded files. Paid plans starting at $5/month extend per-item length limits.
Free users can transcribe Linked In content up to 1 hour per item; paid plans extend that to 8+ hours per item, enough for the longest Linked In clip you're likely to hit.
For pre-recorded Linked In content, paste the URL and we do the rest. For a live Linked In stream, switch to STT.ai's live-transcription tool — point it at the stream and watch captions appear in real time.
DRM-protected Linked In content cannot be transcribed — we don't bypass DRM. For those, capture the audio through your OS (system audio recorder, OBS) and upload the resulting file directly.
Yes. 100+ languages, auto-detected by default. For mixed-language Linked In content, our models handle language switches mid-clip.
Yes. Speaker diarization runs on every Linked In transcription — Speaker 1, Speaker 2, … labels you rename in the editor. Works for Linked In interviews, debates, and panels.
Yes. Every Linked In transcript exports as SRT or VTT, ready to upload back to Linked In or any video platform — and our burn-subtitles tool can hardcode them onto the clip for reposting.
Linked In URL transcription accuracy tracks the source audio quality — clean studio audio reaches 93-95% with our best models; low-bitrate streams or noisy field recordings land lower.
Linked In 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 Linked In URLs through the REST API or the in-app batch upload — each is queued and you're emailed when it finishes. Useful for bulk-processing a set of Linked In links in one go.
Beyond Linked In, STT.ai supports 1,300+ platforms — including TikTok, Instagram, Facebook, and X (Twitter). The /transcribe/ directory lists every supported source.