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The Local AI Toolbox: 13 Tools That Run Entirely on Your Machine
A tour of the local-AI tooling I'd actually install in 2026 — runtimes, hardware-fit checkers, on-device speech and TTS, and document parsing, with the licenses and caveats that matter.
The interesting thing about local AI in 2026 isn’t that it’s possible — it’s that the boring parts finally work. A Mac with 16 GB of unified memory, or a PC with an 8 GB GPU, runs a 7B–13B model well enough for transcription, OCR, routine chat and the small repetitive tasks that make up most of the day. No API key, no per-token meter, no outage on someone else’s status page.
What follows is the toolbox: thirteen tools, grouped by what they actually do. I verified each one’s repository, language and license while writing this, because half the “top tools” lists circulating right now cite projects that have been renamed or abandoned. Where something surprised me, I say so.