Post Slate
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Every video or commercial ends the same way. The spot is approved, the master is rendered, the client is ready to traffic it. Then someone asks for the AD compliance file and we wait.
The compliance vendor model was built when every step needed a person. A captioner types the transcript. A writer watches the spot and drafts the audio description. Voice talent gets booked. An engineer mixes and normalizes. Every handoff has a queue in front of it.
Post Slate gives each of those four jobs to a model. AI transcribes at word level with frame-accurate timecodes.
AI watches the picture so the description covers what's on screen. AI writes the AD script against a per-cue character budget, so the narration fits the gap it has to live in. AI renders the voiceover and ffmpeg normalizes it to broadcast loudness.
You upload a finished video, pick broadcast or web delivery, pick your languages. About three minutes later you get a ZIP: VTT, SRT, TTML, and SCC captions, a timestamped AD script as TXT and PDF, and the AD voiceover. Six steps, zero handoffs.
Every cue lands in a timeline editor. Drag it, trim it, retype it, with spec warnings for line length, reading speed, and cue duration. Regenerate rebuilds the MP3, PDF, and ZIP for free, which replaces the change order the old model billed for.
Post Slate is one instance of a pattern that applies to most of production: a workflow that was ready for innovation. AI tools let us deliver faster, at lower cost, with no impact to creativity and artistry.