Meetings, languages, and what notes cost
Notes from building an AI notetaker for how Southeast Asia actually meets — mixed languages, real pricing math, and comparisons we try to keep honest.
Fireflies alternative for Southeast Asian teams (2026)
Fireflies, Otter and Fathom are built for one-language meetings and priced per seat. Here is where each one fits — and where Southeast Asian teams hit their limits.
Singlish & Manglish meeting transcription: what works
A Klang Valley sentence moves through three languages in one breath. Tools that ask you to pick a language first were never going to keep up.
Pay-per-meeting AI notetaker vs per-seat plans: the math
A 40-person team that meets twice a month pays 40 seats' worth of subscription to Fireflies — or a few dollars of meeting-hours. The per-seat model is the wrong shape for most teams.
Otter AI Pricing in 2026: Where the Minute Caps Bite
Otter's plans are really two prices: a seat fee and a minute cap. Here's the July 2026 breakdown, who the caps hurt, when Otter is still the right buy, and the pay-per-meeting math.
Fathom Pricing: Free Plan Limits and Team Cost Math (2026)
Fathom's free plan is genuinely good — until your team hits the ~5 AI summaries a month cap. Here's what the paid tiers cost a Southeast Asian team, and when pay-per-meeting is the cheaper answer.
AI notetaker price comparison 2026: 6 tools, real math
Six notetakers, one table, and the number the vendors skip: cost per hour of meeting actually captured. A 25-person firm and a 2-person consultancy should not pick the same tool.
Best AI notetaker for Microsoft Teams: how to choose (2026)
Otter, Fireflies and Fathom all transcribe Teams meetings. What separates them is how the bot joins, what happens outside English, how the bill scales, and who can read the notes.
Taglish Meeting Transcription: Why AI Notetakers Garble It
“So ang plan natin is to ship by Q4, tapos we review after.” Four language switches in fourteen words — and most AI notetakers guess wrong at every one. Why Taglish breaks monolingual decoders, and what actually handles it.