Post to Tiktok using Zernio only allow Videos, not Tiktok Photo carousels

:bullseye: What is your goal?

Post a Photo carousel to tiktok.
Zernio is video only.

Is there another service I can use instead? upload-post.com ?

:thinking: What is the problem?

Feature is missing in Zernio

:test_tube: What have you tried so far?

examined

Photo carousels are a separate post type in tiktok’s content posting API rather than a flag on the video path. A video-only integration can’t reach them by changing a parameter, and that’s why zernio doesn’t have it. For any replacement, the answer is rarely on the pricing page.

Two things I’d check on upload-post.com or anything else before committing. First, whether it does a true direct post, or drops the content into your tiktok drafts for you to publish by hand. Both get described as posting and only one of them is automated. Second, whether the account you’re posting from has ever been posted to by a third-party tool.

The second one is what catches people out. On tiktok an account wants roughly 4 weeks of warm-up before third-party posting behaves, and after that you’re capped at about 3 posts a day. So if you wire a brand new account into this and the carousel fails silently or lands with no reach, that’s usually the reason rather than the integration.

The media rules are stricter than the video ones. JPEG or WebP only, and PNG gets rejected outright. That one catches almost everyone, because most design tools export PNG by default. Max 1080 pixels and max 20 MB per image. Convert and resize before the upload step rather than debugging it at the API.

I publish tiktok photo posts through blotato, so that’s where I’d start if you want the carousel path without building against the API yourself.

One diagnostic worth having once posts are landing. If a carousel goes out and sits under 50 views, that’s usually a shadowban and not anything wrong with your pipeline. Around 200 views is usually a keyword problem in the caption instead. Knowing which of the two you’re looking at saves you rebuilding a workflow that was never broken.