Insights on real-time transcription, multilingual communication, and AI-powered meetings.
Real-time transcription solves sync meeting problems. But a lot of multilingual communication problems are not sync meeting problems. Here is when async video and written updates do more than any translation layer.
Most transcription tools quote a single accuracy number. That number almost always comes from a test set dominated by native English speakers. Here is what the actual data looks like across accents, and what we built differently.
Technology cannot fix a meeting where half the room is lost. Here are the ground rules, agenda structures, and templates that actually work for teams spanning multiple languages.
The industry standard metric for transcription quality is word error rate. It is also deeply misleading. Here is why WER fails multilingual teams and what we measure instead.
Desktop apps feel safer. But for real-time meeting transcription, the browser turned out to be the better engineering choice. Here is how we decided and what we gave up.
73% of companies now have team members in 3+ countries. Meeting tools have not kept up with the language diversity. Here is the gap, and what to do about it.
An honest three-way comparison of multilingual meeting transcription. Built-in platform captions versus MangoFinch — what works, what does not, and when to use each.
21% of US patients speak a language other than English at home. Medical miscommunication causes real harm. Here is where transcription fits in, what HIPAA requires, and what we are building toward.
Three writing systems, verbs that come at the end of the sentence, 100+ readings for a single kanji, and zero spaces between words. Here is what makes Japanese transcription different from everything else we support.
Figuring out who said what is hard enough in one language. When speakers switch between three languages in the same sentence, current diarization models fall apart. Here is why, and what we are doing about it.
Real-time captions are a legal requirement and a practical one. Here is what actually works for DHH participants in multilingual meetings, where auto-captions from Zoom and Teams fall apart.
Research shows bilingual employees self-censor 40% of their ideas in their second language. Your language policy might be your biggest innovation tax.
Data from MangoFinch beta users reveals how multilingual teams actually communicate — and it's not what most people assume.
The neuroscience behind why bilingual professionals switch languages mid-sentence, and why fighting it costs your team real productivity.
A technical look at how MangoFinch detects and transcribes mid-sentence language switches in real-time multilingual meetings.
Step-by-step guide to using MangoFinch for real-time multilingual transcription alongside Zoom, Microsoft Teams, and Google Meet.
Our evaluation of streaming vs batch speech-to-text for real-time multilingual meeting transcription — latency, accuracy, cost, and architecture tradeoffs.
How MangoFinch preserves original language alongside translations so meeting notes stay searchable, accurate, and useful across every language.
Meeting transcription processes personal voice data. Here is what GDPR requires, where most teams get it wrong, and a practical compliance checklist.
An honest comparison of MangoFinch and Otter.ai for teams that speak multiple languages in meetings. Where each wins, and who should use which.
A technical walkthrough of the full pipeline from speech to translated text: WebSockets, streaming speech-to-text, machine translation, and the latency budget that makes it work.
Most transcription tools were built for English. Here is what actually goes wrong when your team speaks three languages in one meeting, and how we fixed it.
Best practices for getting the most accurate transcripts from your meetings.
Strategies for running effective meetings across languages and cultures.
How AI is changing business communication, from speech recognition to translation.
Making classrooms and training accessible to diverse learners.
New features, performance improvements, and language additions.
How organizations use MangoFinch to break language barriers.