
An honest, documentation-based roundup of live captioning tools and services for 2026 — segmented into human-CART / enterprise providers (Ai-Media, Verbit, 3Play Media) and AI-automatic / self-service tools (Otter, Wordly, EventCAT, Subanana). Which fits your event, your budget, and your accuracy bar.

Captioning is the process of turning a video or event's audio — speech and the non-speech sounds you'd miss with the sound off — into synchronized on-screen text. This is the map of the whole category: the types of captioning, the human-vs-AI methods, and how the modern AI form lets you caption a live event in real time.

Translation works on written text; interpretation works on the spoken word in real time. That one distinction explains the whole field — and a third option, AI live captioning, now sits between the two. Here's the plain-English difference, the simultaneous-vs-consecutive split, and how to decide what your event actually needs.

Live captioning turns spoken words into on-screen text in real time, as someone is speaking. Here's how it works, how it differs from subtitles and transcription, where AI-automatic captioning beats human CART (and where it doesn't), and how to add multilingual live captions to your next event.

A documentation-based roundup of the best AI note takers for Microsoft Teams in 2026 — bot vs bot-free capture, free tiers, language coverage, and which one fits your meetings.

Closed captions can be switched off; open captions are burned into the picture and can't. SDH is a third thing again. Here's what each one actually is, what accessibility law (FCC, ADA) and the WCAG standard require, and how to choose — with the definitions sourced to the standards bodies that set them.

An action item is a specific, assigned next step that comes out of a meeting — a clear task, one named owner, and a deadline. Here's the anatomy of a good one, how it differs from a task, a decision, and a plain note, and how to capture them so nothing slips.

AI meeting notes turn a recorded call into a structured record — a clean transcript, a summary, the decisions, and who owns which action item. Here's how that capture works, and how to choose a note-taker that fits the meetings you run.

To turn non-English audio or video into English, you transcribe the speech first and then translate the text — two steps, not one. AI does the heavy lifting well now, but some languages are far harder to get right than others. This guide walks the general workflow and shows where AI shines and where you still do the work, with real examples from the tough cases.

ASR — automatic speech recognition — is the technology that turns spoken audio into text. This is a plain-English explainer: what ASR is, how the pipeline actually works, the factors that make one recording transcribe cleanly and another come back full of errors, and how ASR compares to human transcription. Written by someone who runs a transcription tool, with every technical claim sourced to public documentation.

Two ways to get a YouTube video transcript — the built-in Show transcript panel, and pasting the link into an AI transcription tool. Here is how each works, how accurate they are, which languages and export formats you get, and when to use which.

SRT and WebVTT (.vtt) are the two subtitle file formats you'll meet most often — they look almost identical, but they're not interchangeable everywhere. Here's the real difference, where each one is actually supported, how to decide, and how to export either.