Articles
TrainScription articles
Coverage and case studies about TrainScription.
19 articlesPage 1 of 2
What Does It Mean To Own Your Own Knowledge?
We often talk about owning our files, our devices, and our data. But knowledge is different. It's created gradually through conversations, research, experience, and reflection. This article explores the difference between storing information and truly owning it, why portability matters, and how TrainScription approaches conversation history as something that belongs to the person who created it.
Aug 15, 2026
Why Software Should Remember What You've Already Taught It
Most software treats every interaction as though it's the first one. You correct the same mistakes, explain the same terminology, and repeatedly teach systems things you've already taught them before. But people don't work that way. Learning is cumulative. This article explores why software often forgets what users already know, why that creates unnecessary friction, and how TrainScription approaches transcription as an experience that improves over time instead of constantly starting over.
Aug 3, 2026
The False Divide Between Live Conversations And Recorded Ones
Meeting transcription has traditionally focused on live conversations. But some of the most valuable knowledge we encounter isn't live at all. It comes from webinars, conference talks, interviews, lectures, podcasts, and recordings we've collected over time. This article explores why software often treats these as separate categories, why people rarely do, and how TrainScription approaches them as different paths to the same destination: understanding.
Jul 11, 2026
The Strange Way Digital Information Never Dies
Physical information naturally disappears. Paper gets thrown away. Whiteboards are erased. Notebooks fill up and are replaced. Digital information behaves very differently. It accumulates almost effortlessly, often without intention or purpose. This article explores why "keeping everything forever" isn't always preservation, why forgetting can be valuable, and how TrainScription approaches the lifecycle of conversations differently.
Jul 9, 2026
Why We Remember Conversations By Topic Instead Of Time
Most meeting software files conversations by date because calendars are easy to understand. Human memory doesn't work that way. We tend to remember ideas before timestamps, projects before calendar entries, and people before meeting IDs. This article explores why knowledge naturally organizes itself around meaning instead of chronology, and how TrainScription approaches conversation history from that perspective.
Jul 6, 2026
Think TrainScription Is Just Another Transcription Tool? Think Again
Most people hear "AI transcription" and assume bots, cloud uploads, browser-only capture, recordings, storage, and subscriptions. TrainScription was built around a different philosophy. This article explains the assumptions people bring to transcription tools, how TrainScription differs, and why those differences matter for people who want ownership, privacy, and control.
Jun 29, 2026
How to Transcribe Microsoft Teams Meetings Without Recording Permissions
Many people assume that recording permissions are required to create a meeting transcript. In reality, recording and transcription are not always the same thing. This article explores the difference between meeting recordings and personal knowledge capture, why attendees often depend on permissions they don't control, and alternative ways to preserve important conversations.
Jun 26, 2026
Why AI Meeting Bots Are Not the Only Way to Get a Transcript
Meeting bots have become one of the most common approaches to AI transcription, leading many people to assume they're required. They're not. This article explores how bots became associated with meeting transcripts, why that assumption persists, and the different ways modern transcription systems can preserve conversations without adding another participant to the call.
Jun 25, 2026
Browser Extension vs Desktop App for AI Transcription
Should you use a browser extension or a desktop application for AI transcription? The answer depends on more than features. This article explores friction, workflow design, installation overhead, simplicity, and why the most useful transcription tools are often the ones that fit naturally into the way people already work.
Jun 24, 2026
Why Direct Audio Capture Produces Better Transcripts Than Speaker Recording
Not all audio sources are equal. The quality of a transcript often depends on the quality of the audio being captured in the first place. This article explores the difference between direct digital audio capture and recording sound through speakers and microphones, and why source quality plays a critical role in transcription accuracy.
Jun 23, 2026