Caption Style Lock and Brand Voice Review (Delivery)

Caption Style Lock and Brand Voice Review (Delivery)

1. 01

   Freeze a caption style sheet per client before any clip batch runs

   Record font, weight, stroke, highlight color, safe-zone margins, and max characters per line in a one-page reference the whole delivery team can open without asking.

2. 02

   Pull the client's last 10 published posts and extract their actual spoken cadence

   Note sentence length, filler-word tolerance, and whether they speak in complete thoughts or punchy fragments. Auto-caption engines default to word-level animation that can fight a measured speaker.

3. 03

   Run one 30-second test clip through the caption pipeline before committing a full batch

   Tools such as Vizard and Klap both offer word-level animated captions and translation into 50 or more languages, so a single test reveals whether the default animation rhythm matches the client's tone.

4. 04

   Assign a named human reviewer to read every caption track end to end

   Automated transcription mishears brand names, product SKUs, and industry jargon. The reviewer corrects spelling and punctuation, not just timing.

5. 05

   Check caption placement against platform UI overlays for each destination

   TikTok, Reels, and Shorts each reserve different bottom and right-edge zones for buttons and descriptions. A caption that reads clean on one platform can sit under the like button on another.

6. 06

   Flag any clip where the auto-selected hook misrepresents the source argument

   Clipping engines optimize for engagement signals, not editorial accuracy. If the extracted moment changes the speaker's meaning, the clip gets rebuilt or dropped.

7. 07

   Log approved caption presets in the client's delivery folder for the next batch

   Reuse cuts setup time on repeat retainers and keeps a rotating team from reintroducing style drift every month.