Builder here. Agent Wispr started as a personal tool — I wanted dictation in my coding workflow that ran locally, had no subscription, and could learn the vocabulary of whatever project I was working on. The correction dictionary is the piece I'm most proud of. You correct a misrecognition once, and it fixes that everywhere — retroactively in your history and in all future transcriptions. For technical vocabulary (library names, variable names, domain terms), it makes a significant accuracy difference. A note on limitations: Whisper's accuracy varies by model size and accent. The large-v3 model is substantially more accurate for technical content than the tiny model, at the cost of VRAM and latency. The correction dictionary addresses the jargon problem; accent sensitivity is an upstream Whisper limitation I can't solve at this layer. Free demo resets daily at midnight — enough to evaluate whether it fits your workflow before purchasing. This is the first product in a local-first AI developer toolkit I'm building — Agent Brain (shared semantic memory for AI coding agents) is coming soon. Happy to answer questions about the implementation.

Agent Wispr

Local Whisper dictation built for coding terminals

Local Whisper dictation built for coding terminals