Turning a local network into a transcription cluster
Why distributed local processing only makes sense when the network overhead is smaller than the work, and what a LAN-first approach looks like in practice.
Engineering Journal
Technical writing about local AI transcription in the browser
This blog is where Cowslator explains the engineering behind the product: runtime fallback, memory limits, LAN collaboration, creator workflows, and why browser AI needs more than a model dropped into a page.
Browser AI
Adaptive inference
WebGPU
Local-first tooling
Browser AI memory budgets are product design, not just optimization
Why memory pressure defines what a browser transcription app can promise, especially on long recordings and mixed hardware.
Adaptive inference on unpredictable hardware
A deeper technical write-up on fallback scheduling, model choice, and how to survive browsers that are capable in theory but unstable in practice.
Why local-first transcription changes creator workflows
An essay on what happens when transcripts are generated next to source media instead of waiting behind a remote upload step.