What should I prepare before applying for TikTok, Instagram, YouTube, or LinkedIn posting API access for a faceless video app?

Show A User-Controlled Publishing Flow

In short, focus on these checks: show a user-controlled publishing flow, prepare platform-specific evidence, and make policies and data handling concrete. Avoid rebuilding the whole content strategy from one trend, tool, or metric; run a small test and compare the audience response before making more videos. The caveats are platform context, production effort, content quality, and whether the next step is measurable. More detailed guidance is below.

Treat posting API review as a consent, safety, and data-use review, not as a pitch for the app. The reviewer needs to see which account is connected, what content will be posted, which permissions are requested, and where the user gives final approval.

For a faceless video app, the cleanest story is narrow: create or upload a vertical clip, preview it, edit the caption and settings, connect the account through the official OAuth flow, then manually confirm the post. AI can help produce drafts, hooks, captions, translations, and overlays, but the product should not look like it silently posts bulk content without user control. You can draft the clips in YumCut while keeping account connection and publishing consent explicit.

Prepare Platform-Specific Evidence

Do not reuse one generic submission for TikTok, Instagram, YouTube, and LinkedIn. TikTok’s Content Posting API guidelines require creator account information, editable metadata, privacy selection with no default, commercial-content disclosure, preview, and express consent before upload. That makes the review packet for TikTok more UX-specific than a simple OAuth demo.

Google’s OAuth verification guidance asks demo videos to show the submitted app, the complete consent workflow, the scopes on the consent screen, and how each requested scope is used. YouTube API policies also warn against requesting write scopes before the app actually supports the feature. LinkedIn’s documentation separates open permissions such as member posting from programs that require explicit approval, so the LinkedIn packet should map the use case to the exact product and permission path.

Make Policies And Data Handling Concrete

Before applying, make the privacy policy, terms, account disconnect path, and deletion instructions specific to connected social accounts. Explain which profile or account data is accessed, why the app needs it, whether access tokens are stored, how long data is retained, and what happens to drafts or scheduled posts after disconnecting.

YouTube’s API policies emphasize transparency, user consent, revocation, and clear identification of actions taken on the user’s behalf. LinkedIn’s Marketing Developer Terms also describe application vetting and privacy/security review for marketing integrations. Even when the exact platform differs, vague legal pages are weaker than plain language that matches the actual workflow.

Keep AI Assistance Reviewable

The strongest faceless-video submission shows that AI creates media, not unchecked publication. Give users a real preview, editable captions, platform-aware settings, and a final confirmation step. Manual review is still needed for factual claims, rights-sensitive media, brand safety, regulated topics, and language errors.

After the first approval, scale gradually. Log the render, user approval, caption changes, selected visibility, API response, post ID, and failures. Then test the workflow in YumCut with a small batch before offering broad cross-posting, because API access does not remove each platform’s limits, account-type rules, disclosure rules, or content policies.