Evaluating STT APIs: ask what breaks when it's wrong, not which is best
Less-Ad4261 · reddit · 2026-09-03
The author argues "best STT API?" is the wrong question because error costs are unequal: a wrong filler word is fine, a wrong phone number loses the user. They lay out a scenario-based evaluation framework: batch transcription (final quality on long audio, formatting, cost), live voice UI (first usable text, p95 latency), agent flows (partial vs final handling to avoid wrong actions), support calls (timestamps, speaker turns), sensitive workflows (redaction), and CRM/action systems (entity accuracy, confirmation). Ends with a promo for Smallest AI Pulse, but the framework itself is the real value.
More from coding & agent
- Reading Anthropic's retail agent example changed six things in ArcKit in one day — mcraddock · 2026-09-03
- Vector Ingestion at 50M Rows: The Pitfalls Your 1,000-Doc Prototype Won't Reveal — victorialslocum · 2026-09-03
- Reddit user swears by local AI harness Vellum: free, proactive, but nobody talks about it — Cooperman411 · 2026-09-03
- Qwen Code v0.23.0 ships Anthropic stream hang fix, daemon memory tasks and more — qwen-code-ci-bot · 2026-09-03
- Dev Builds an Interactive 'Multiverse TV' Where Twitch Chat Picks What Plays Next — d_pit · 2026-09-03
- Tencent launches WorkBuddy open platform with 9 AI gadgets, 30+ apps and 100 partners — 量子位 · 2026-09-03