SubEasy.ai: Tested it. Got it. Love it. I'm using it.

As a videographer producing numerous interview-style and educational videos, creating subtitles used to be a major hassle. I tried many transcription software options before, but the results were less than ideal. While they saved time in placing subtitles, I ended up spending more time proofreading, which was even more frustrating. Sometimes, I wondered if AI was really that limited.

That was until I discovered SubEasy. I'm emphasizing quality here. This software requires the least proofreading time compared to all other similar options I've tried. Well, time is money, isn't it?

Now, let's discuss the AI Refiner function. It's absolutely brilliant! After producing the first draft, it offers "recommendations" for refining the entire script to suit the video's context. I must say, this was a pleasant surprise. Especially since most of my videos are in Cantonese and English with many localized terms and jargon, this feature is very effective and efficient for me.

Another point about the "Glossary" list: Yes, I admit that it's impossible to ask for 100% accuracy (honestly, even real humans can't guarantee that). But having this high-frequency spoken term table definitely helps push the accuracy higher, if not to the highest level.

That's why I've chosen the top tier. I need those AI credits to elevate my work to the highest possible quality.

Finally, I suggest we have the ability to save different glossaries for various types of videos we want to transcribe. For example, we could have a "medical" glossary for medical videos and a "pop-culture" glossary for pop-culture videos, etc.

Anyway, I sincerely hope that SubEasy continues to enjoy its remarkable success and thrives in the ever-evolving landscape of its industry.