Paste a LinkedIn post link and pull out the spoken words, ready to quote in a post or drop into your notes on a prospect.
Get a LinkedIn transcript →Sometimes. LinkedIn supports captions on native video, and the person or company posting can attach a caption file at upload. Brands and anyone running ads usually do, because feed video gets watched with the sound off.
Individuals posting from a phone often skip it, and so do most reposted conference clips, exported from an event recording and dropped straight into a post.
Where a track does exist, it was made for the feed rather than for reading: short cue lines, light punctuation, no speaker names, which is exactly wrong for a panel. Good captions; a choppy document.
JotVox checks for an existing track and hands it over free. Otherwise it transcribes the audio. Feed video is just as inconsistent on X.
Three kinds of video dominate the feed, and they behave differently.
Jargon is the LinkedIn-specific wrinkle. Talks are dense with company names, product names and acronyms. Ordinary speech transcribes at 98% or better, but a proper noun the model has never met is what comes back spelled oddly.
Two more things trip people up. Panel video carries three or four voices and stops introducing them after the first minute, so the transcript reads as one block unless you mark the changes yourself. And a screen-share talk keeps half its content on the slides; when the speaker says the number is right there, the number was on screen, not in the audio.
The common job here is simple. Someone gave a good ten-minute talk, a clip of it is on LinkedIn, and you want the argument in text so you can write about it properly.
Export TXT, find the two or three lines carrying the idea, quote them accurately. An AI summary is quicker when you only need the shape: key takeaways, notable quotes, a chapter breakdown. It works in reverse too, on your own video posts.
Two habits make the output publishable. Quote rather than paraphrase, because the speaker's own phrasing is the part worth reposting and the thing that gets attributed back to them. And check names, companies and figures against the video before you publish, since those are the words most likely to be wrong.
Translation is the quieter use. A talk given in one language becomes a post in another once the text exists, and a conference clip that would never have travelled outside its own market suddenly can.
Sellers use this differently. Before a call, transcribing a prospect's conference talk shows how they describe their own problems in their own words, which beats a bullet list from a company page. Recruiters run the same play on candidate talks.
Customer stories and launch videos deserve the same treatment. A prospect's own case study video tells you which outcomes they lead with, and a competitor's launch talk gives you their positioning unfiltered, before a press release tidied it up.
Webinars are the long end. A 45-minute session transcribes in one pass, and SRT or VTT timestamps make it easy to jump back to where the question got answered. If the recording lives on your own hosting, the Vidyard page covers that.
Feed video is watched with the sound off more often than not, which is the argument for captioning your own posts rather than only transcribing other people's.
The route is the same one in reverse. Transcribe the cut you are about to post, correct the names and product terms while the text is short, then export SRT or VTT. Both are standard caption formats, so the same file travels with the video wherever you post it next.
The transcript doubles as the draft of the post body, the part people skim before deciding whether to press play. Writing that from words you already said beats starting from scratch.
Video sitting on an event platform or an employee-only page is out of reach for the same reason: the link is not the problem, the sign-in is.
For anything you can download and have the right to use, uploading from your device, Google Drive or Dropbox sidesteps the link problem. Exports are TXT, SRT, VTT and MP3, and audio is deleted once the transcript is done.
1. Copy the post link Use the three-dot menu on the post and copy the link. That URL points at the post itself, not the feed you were scrolling.
2. Check that it opens publicly Open the link in a private window. If it plays without signing in, it can be fetched. If not, upload the file instead.
3. Paste it into JotVox Existing captions are pulled free. If the post has none, AI transcription reads the audio in 99 languages.
4. Export what you need TXT for writing a post off a talk, SRT or VTT for captioning a re-upload, or an AI summary for quotes.
Yes, as long as the post is publicly viewable. Copy the post link with the three-dot menu and paste it into JotVox. If the uploader attached captions, you get them free with no account. If not, AI transcription reads the audio and exports as TXT, SRT or VTT.
Only when the uploader added them. LinkedIn supports captions on native video, but it is the poster's choice, so company and ad video usually has a track while phone uploads and reposted conference clips often do not. JotVox takes an existing track free and transcribes the audio otherwise.
Then pasting the link will not work, because JotVox does not sign into anyone's LinkedIn account. Anything restricted to connections or posted inside a private group is out of reach. If you have access and the right to use the video, download it and upload the file instead.
Transcribe the clip, export TXT, and pull the two or three lines that carry the argument. Quote them accurately and build your commentary around them. An AI summary is faster if you only need the structure, since it returns key takeaways, notable quotes and a chapter breakdown.
Yes. A 45-minute session transcribes in a single pass and costs one credit, the same as a short clip, since one credit is one action. Export SRT or VTT for timestamps that let you jump to a specific answer, or generate a summary with chapters colleagues can skim.