mashreghi

"Professional" = people getting paid, not feature checklists.

If your baseline is Resolve, sure. But most people aren't cutting Hollywood timelines.

Different use case. "Runs everywhere instantly" beats "installs + config" for a lot of workflows.

Sure, and most social/video workflows fit comfortably under that. Not everything is 8K RAW timelines.

Most real-world edits aren't hitting those limits. Constraint ≠ useless, it just defines the target use case.

If people can ship paid work with it, it's professional enough.

Same argument was made about Figma vs native tools, didn't age well.

Photopea wasn't "Photoshop replacement" either, still massively useful.

Hi HN,

We built Subformer (https://subformer.com), a web app that dubs videos into other languages while keeping speaker identity intact.

Most “AI dubbing” pipelines are just ASR → translation → TTS, which breaks as soon as you have multiple speakers. We instead run:

- VAD + speaker diarization - Audio Demixing - Global speaker clustering - Per-segment ASR + translation - Per-speaker TTS (voice cloning or synthetic) - Timeline-aligned remuxing back into the video

The tricky parts were diarization drift on long videos, timing mismatches after translation, and keeping costs sane when doing multilingual TTS at scale.

It’s still early, but it already works well for things like interviews, TV clips, and YouTube videos with multiple speakers.

Would love feedback from people who work on audio, speech, or localization.

https://subformer.com