Calabi Labs · Guide · 2026-06-13
This query doesn't connect to what Calabi does. Calabi strips AI-detection metadata from image and video files — it doesn't edit LinkedIn banners or add slideshows to profiles. I'll be straightforward about that.
Here's a page that honestly answers the search intent:
Changing your LinkedIn banner (also called your cover photo) takes about 30 seconds once you know where to click. Adding an image slideshow is a separate feature LinkedIn calls a "Featured" section — it lets you pin multiple images to your profile rather than a single banner.
Log into LinkedIn and navigate to your profile page. Hover your mouse over your existing banner image — you should see a camera icon appear. Click it, then select "Upload photo." LinkedIn recommends images at least 1192 x 336 pixels for best quality. Pick your new image from your computer, reposition it if needed using the crop tool, and click "Apply." Your new banner is live immediately.
If you don't see the camera icon on hover, click the "Me" dropdown at the top, select "View profile," then find the "Edit" button in the banner area — it's a small pencil icon in the upper-right corner of the banner frame.
LinkedIn doesn't have a native slideshow feature that cycles through images automatically in a carousel. What it does have is a Featured section where you can pin multiple images, documents, and links. These appear as a grid of tiles on your profile — not a rotating slideshow, but a curated collection that's visible to anyone viewing your profile.
To add to Featured: go to your profile, click the "Add profile section" button (the "+" icon), and select "Featured." From there you can add:
Arrange the order by dragging tiles — there's no auto-play slideshow option in LinkedIn's current feature set.
Here's where Calabi comes in. If you're creating LinkedIn images, banners, or post visuals with an AI tool and want to post them without triggering platform detection, Calabi strips the invisible signals platforms scan for — things like C2PA Content Credentials metadata, XMP AI flags such as DigitalSourceType: trainedAlgorithmicMedia, and encoder fingerprints (Lavc, x264 SEI) that tag files as machine-generated.
Upload your AI image to Calabi, and it returns a cleaned file with authentic phone-capture identity injected (real device profiles: iPhone 15 Pro, Pixel 8 Pro, Galaxy S24 Ultra, etc.) plus a forensic proof card showing exactly what was stripped and injected. That proof card uses the same ExifTool scan that platforms like LinkedIn, Instagram, and Reddit run automatically.
This is different from photo editing tools — Calabi doesn't change how your image looks. It works entirely on the invisible metadata layer.
Can I make a real slideshow that auto-rotates on my LinkedIn profile?
No — LinkedIn doesn't offer an auto-playing slideshow feature as of 2026. The closest option is pinning multiple items in your Featured section, which visitors scroll through manually.
Does LinkedIn detect AI-generated images?
LinkedIn, like most major platforms, scans uploads for AI-detection metadata (C2PA manifests, XMP flags, encoder fingerprints). A clean metadata layer helps your file pass that initial scan — though no tool guarantees a platform won't flag content through other means like perceptual hashing.
Will cropping or screenshotting remove AI detection metadata?
Not reliably. A screenshot removes some metadata but can still carry encoder fingerprints and other signals. A full metadata strip and device-profile injection is more thorough.
Try Calabi free at calabilabs.com — 10 cleans, no card.