How to fix auto-generated captions (without redoing them by hand)

Updated July 2026 · 4 min read

Auto-captions from YouTube, Premiere, TikTok, or Zoom are 90% right — and the wrong 10% is concentrated exactly where it hurts: names, brands, technical vocabulary, and homophones. The timing is fine; the words are the problem. That asymmetry is good news, because it means you should never rebuild captions from scratch.

Why speech-to-text keeps making the same mistakes

ASR models predict likely word sequences from sound. Rare words lose to common ones that sound similar, so:

• Proper nouns get replaced: "Kubernetes" → "cube er netties", "Figma" → "sigma".
• Homophones flip: their/there, brake/break, "transform her" → "transformer".
• Spoken formatting stays literal: "GPT four oh" instead of "GPT-4o", "twenty twenty six" instead of "2026".

These aren't random errors — they're systematic, which is exactly what makes them fixable automatically.

Option 1: fix them by hand

Every subtitle editor (including YouTube Studio's) lets you click through cues and retype. Budget roughly 3–5× the video's runtime, and expect to miss a few — after twenty minutes of scanning, "their/there" becomes invisible. Hand-editing makes sense for a 60-second clip; it's brutal for a 30-minute talk.

Option 2: run an AI correction pass over the file you already have

The faster path: export the captions you already have (YouTube Studio → Subtitles → Download → .srt, or your editor's SRT export) and run a correction pass over the file:

1. Download your captions as an .srt file.
2. Drop the file into AccuSubtitles — it accepts .srt directly, no video re-upload needed.
3. Add a glossary: the correct spellings of your names and jargon ("Kubernetes, GPT-4o, Figma"). This is what fixes the proper nouns ASR can't know.
4. Get back a corrected file with identical timing — the correction model only ever sees text, never timestamps, so cues can't drift.
5. Skim the before/after on screen, click any line to fine-tune it, export.

A 30-minute caption file processes in about a minute. The glossary is the highest-leverage part: one correct spelling fixes every mangled variant across the whole file.

Keep the raw file

Whatever tool you use, keep the original captions unedited. Corrections should be a derived layer you can always regenerate or roll back — AccuSubtitles stores the raw track read-only for exactly this reason.