Shorts Pack Demo
One source video turned into five captioned vertical social clips.
A growing library of demonstrations showing how TowleVision turns source material into captioned clips, visual explainers, narrated media, and production-ready assets.
Some areas include finished demos now; others are example categories that will grow as more public work is prepared.
These examples and demonstration areas show the current direction of TowleVision production services and studio platform work.
One source video turned into five captioned vertical social clips.
Readable vertical clips with burned-in captions, word highlighting, and clean delivery.
Specialized content where terminology, pronunciation, acronyms, captions, and spelling consistency matter.
Visual storytelling and narrated literary projects created with TowleVision-style production workflows.
The technical portfolio behind TowleVision Studio and related software work.
TowleVision Studio, AQI Informer, GitVault, websites, dashboards, and focused workflow utilities show the range of practical software work available.
Scripts, audio, finished videos, music, visuals, captions, and media automation can be combined into custom production workflows.
Finished narration, lectures, podcast segments, and audio essays can become captioned videos with visuals.
Finished or near-finished scripts can become narrated, captioned visual media when the scope is a good fit.
Rights-cleared music can be shaped into visual videos with themed imagery, pacing, and a defined delivery format.
These projects show broader software range without implying public availability, measured performance, or uses beyond their stated experimental and research scope.
A computer vision Android app experiment focused on mushroom image recognition and classification-style workflows.
Not intended for food-safety, medical, or foraging decisions.
A web data extraction tool built to collect and organize structured information from Kannapedia-style cannabis strain and chemotype resources for research and analysis workflows.
Framed for permitted, publicly accessible information; no endorsement or access to private data is implied.
A research-oriented PyTorch/TensorFlow machine learning project exploring cannabis chemotype classification from structured chemical profile data.
No medical, diagnostic, clinical, legal, cultivation, dosing, or consumption claims are made.
If you already have a finished video, the Shorts Pack is the simplest starting point. If your project combines scripts, audio, captions, visuals, or unusual production needs, a custom project conversation may be a better fit.