Human review, clearly prepared

A fair review starts with the right facts.

Turn a YouTube audience-classification error into a concise, creator-authored request a human reviewer can understand quickly.

Prepare the request
Creator facts captured

Audience context deserves a human read.

Classification: Misleading Family Content

The packet keeps the signal visible and the claims honest.

Audience context

Record adult/general-audience intent without inventing supporting evidence.

Human-review request

Generate a compact message that names the classification, explains the mismatch, and asks YouTube for a manual review.

Timeline passed

Preserve the creator-provided dashboard status.

Useful export

Download TXT and JSON evidence packets.

Your review packet

Put the facts in one calm, usable place.

Edit only what you can verify, then generate the message you can submit through YouTube’s own support or appeal flow.

Your review request will appear here.
This prepares your words. It does not contact YouTube, alter your channel, or verify facts for you.

Six creator facts and the current-facts versus saved-message boundary

Read the explanation

Six editable fields collect subscriber count, channel description, classification, intended audience, dashboard status and optional notes. Generate builds one fixed message from their trimmed values and saves the six facts locally. Bars compare six inputs with one prepared request at eighty pixels per item. The displayed subscriber number is an editable text default, not verified account data. The classification and dashboard status are user claims. No YouTube account, moderation decision or human review is accessed. There are three audience choices, each inserted as lowercase text into the same request template. Bars count three available labels with one selected label at one hundred fifty pixels per item. Selection does not inspect content or establish whether a channel is intended for kids. The source has no account authorization, audience measurement or classification evidence. It prepares a request to correct classification only if a human review confirms the claimed audience. JSON download has three top level properties: current facts, the last generated request and an explicit no account mutation scope. Current facts have six values. Bars compare three top level properties with six fact values at eighty pixels per item. After editing without Generate, JSON reads new facts but keeps the old message, while TXT keeps that same old message. Reload restores saved facts but leaves the message ungenerated. The original message contains literal backslash n separators rather than newline characters. These behaviors are preserved, not mistaken for a submitted appeal.

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