Travis Charles Smith
An Ai content pipeline for an estate planning attorney.
- 50 dBSpeech-to-noise ratio on a sample recording, up from 18 dB
- -19 LUFSLoudness, up from -45: from barely audible to social-ready
- 7 → 10Raw videos turned into shorts in the first batch
Overview
Travis Charles Smith is an estate planning attorney in Oklahoma City. I built the content pipeline that turned his raw phone videos into captioned, scheduled shorts: audio restoration, AI-cut clips and publishing across Instagram and Facebook.
Outcomes
The challenge
The videos were recorded on a phone in ordinary rooms, so the audio was quiet and noisy. Cutting, captioning and scheduling every clip by hand wasn’t sustainable, and the feed couldn’t look like one long recording.
What I did
Audio restoration
Built a speech-enhancement toolkit (denoise, EQ, de-ess, compression, loudness targeting) with an A/B tool that scores each option, plus a batch enhancer with automatic fallbacks.
Hands-off intake
Automated Google Drive intake and upload, so the only step for the client is dropping raw files in a folder.
Shorts
Cut 20 to 40 second portrait shorts in Opus Clip with a branded caption template.
Captions and publishing
Wrote captions from each clip’s transcript and scheduled every asset as an Instagram and Facebook post and story, tracked in a ledger so nothing posted twice.
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