Hi 👋
I’ve been working on a Windows desktop application called Dabi’s Content Manager, built to simplify transcription and upload workflows for creators — with a strong focus on local-first processing and minimal cloud dependency.
The app combines Whisper-based transcription with optional local LLM features to help generate titles, descriptions, and tags. Everything runs on your own machine, and the UI stays responsive thanks to background processing.
What it currently does
- Upload videos to YouTube directly from the app
- Schedule uploads and manage visibility (public, unlisted, private)
- Assign videos to playlists during upload
- Transcribe audio using Whisper with automatic model handling
- Generate titles, descriptions, and tags using a locally running AI model
- Reuse description templates with placeholders
- Keep track of past uploads via an upload history
- Store basic channel preferences like language and tone
With the recent v0.15.0 update, the app received a larger cleanup and polish pass: improved localization (English default + language switcher), a refreshed UI, expanded upload forms, and a fully asynchronous transcription pipeline.
The project is still evolving in an EARLY STAGE, and I’d really appreciate early testers and honest feedback — especially from people working with video, audio, or self-hosted tools. Even small impressions help a lot.
https://github.com/dabinuss/Dabis-Content-Manager
https://github.com/dabinuss/Dabis-Content-Manager/releases
If this sounds interesting, feel free to check it out or ask questions
Top comments (0)