LinkedIn post
Your LinkedIn post
Paste your LinkedIn post. Nothing to upload.
←LinkedIn post
Make a podcast
Turn LinkedIn posts into a podcast
One post is ninety seconds. This works when you have a stack of them.
Free to try, no card. Your LinkedIn post opens in Ancher.
Full post bodyAuthor and their roleAttached images and documents
Kept in parts
Every one of these stays separately addressable instead of collapsing into one block of text.
ScriptSegmentsVoiceLength
Podcast
A narrated version you can listen to instead of read.
A LinkedIn post read aloud is a minute and a half, and the carousel it depends on is silent. Ancher writes a script that converts the slides into description, drops the line-break rhythm that only exists for a feed, states the runtime honestly, and says plainly when several posts have been combined and where each segment came from.
The honest version
The confessional opening does not survive being read out loud
LinkedIn's house style — the pause, the reveal, the single-sentence paragraph — is built for a reader whose eye is moving down a screen. Spoken, those pauses become dead air and the reveal becomes melodrama. Anything that reads a post verbatim produces audio that sounds like a motivational seminar, whatever the content underneath was worth.
One post, at slide 5/8, read two ways.Illustrative. The figure is invented; the gap it falls into is not.
Here is the part I got wrong for two years, and the number that finally showed it —
On slide 5 of the carousel — not readThe specific never reaches the draft
Podcast
On slide 5 of the carousel
Onboarding drop-off 61%
from slide 5/8
Lands in the draft, with its timecode
- The line-break rhythm is removed, because it is a visual device and it has no audio equivalent.
- Carousel slides become spoken description, using what was actually on the slide.
- When several posts are combined, the script says so and credits each author at their segment.
What comes out
Podcast, section by section
A narrated version you can listen to instead of read.
Script
Written to be spoken, with the feed's line-break rhythm removed and slides converted to description.
Segments
One segment per post when several are combined, each introduced with its author.
Voice
A plain register for the material, not an imitation of the author's posting persona.
Length
An honest runtime, with a note when a single post is too short to carry a segment.
Source credit
Each author and their role, spoken at their segment as well as written down.
LinkedIn-to-podcast-script prompt
The link on its own gets a summary. This is the instruction that produces the 5 sections above, in that order, with the rules that keep them honest. Paste it with your LinkedIn posts — in Ancher, or in whatever assistant you already use.
Write a narration script from these posts. (1) Rewrite for a listener, removing the one-line-paragraph rhythm entirely. (2) Convert every reference to a carousel slide into a description of what was on it. (3) Break into one segment per post, introducing each with its author and role. (4) Estimate the runtime honestly and say if the stack is too thin — do not pad. (5) Speak each credit at its segment. Do not imitate any author's posting voice.
The detail, if you want it
How each part of a LinkedIn post becomes a section
| From the LinkedIn post | Into | Why |
|---|---|---|
| Full post body | Script | The full body is the material, but it is rewritten rather than read, because writing shaped for a scroll is not speech. |
| Attached images and documents | Script | Every reference to a slide is a hole in audio, and the carousel is the only way to fill it with something true. |
| Author and their role | Source credit | Name and stated role make the credit specific enough to be worth saying aloud at the top of a segment. |
| Reactions and comments | Length | A post nobody engaged with rarely earns a segment, which is worth knowing before recording rather than after. |
| Full post body | Segments | Where one post ends and another begins is the only honest segment break when the source is a stack of posts. |
Everything Ancher keeps from a LinkedIn post
Full post body
LinkedIn truncates behind See more in the feed; the saved copy is the whole thing.
Author and their role
On LinkedIn the stated job title is the single most useful piece of context for judging a claim.
Attached images and documents
Carousel PDFs and slides carry the substance while the post text carries the hook.
Reactions and comments
In a professional feed, engagement tracks what practitioners recognise as a real problem.
Linked pages
Posts that link out to a report or a product page give you the primary source to check.
The four steps
- Add the LinkedIn post. Paste the post or article URL, including an lnkd.in short link. Ancher resolves it, then keeps the body, the author, attached media, and the reaction counts as one source.
- Nothing gets flattened. Full post body, author and their role, attached images and documents, reactions and comments, linked pages stay separately addressable instead of collapsing into one block of text.
- Ask for a podcast. Ancher fills script, segments, voice, length, source credit using the mapping above, not a generic summary pass.
- Check it before you use it. Every specific keeps a link back to where it came from in the LinkedIn post, so a claim can be verified without reopening the source.
Where this goes wrong
- These are other people's public posts. Publishing a show built from them needs their permission, and crediting them in the script does not by itself grant it.
- A post whose value was in the carousel loses most of it in audio, because the script ends up describing evidence rather than presenting it.
- Padding a stack of short posts to reach a runtime is the standard failure here. If eight posts is eleven minutes, take the eleven minutes.
Questions people ask
How many posts make an episode?
Usually six to ten, because each one is around ninety seconds spoken. The length section states the estimate up front so a thin stack is visible before anyone records rather than after.
Does it sound like the author?
No, deliberately. The script uses a plain register rather than imitating anyone's posting persona, because cloning a voice to retell that person's own material is a problem no credit line fixes.
Can I publish this?
Only with permission from every author included. What it is genuinely good for is listening to a stack of posts you saved and never got back to, where the audience is you.
Bring your own LinkedIn posts
Everything you save lives in one workspace, so the podcast is built from your sources — not from a model's memory of the internet.
Open Ancher →Not a LinkedIn post? The same podcast also comes from YouTube video, X thread, Instagram post.