WhatA voice-to-text app that automatically routes recordings to the best available STT model based on language, audio quality, and length — abstracting away the model fragmentation problem for end users.
SignalA developer building a consumer transcription app is already integrating multiple STT backends and asking users which models they want — signaling that no single model wins across all use cases and that intelligent routing is the real product opportunity.
Why NowMultiple high-quality STT APIs have launched at dramatically different price points (Grok at $0.10/hr) in early 2026, making multi-model routing economically viable and quality-advantaged for the first time.
MarketConsumers and prosumers needing transcription — journalists, students, professionals; tens of millions of potential users; Otter.ai ($100M+ revenue) proves willingness to pay but is locked to one model.
MoatProprietary quality-routing data from millions of transcriptions creates a feedback loop — the more audio processed, the better the system gets at picking the optimal model per recording.
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