We run the caption workflow for your channel: correcting the source track first, identifying each speaker, then building every subtitle language from reliable words and your channel's voice.
languages YouTube will auto-translate your captions into, all from that one English file.
of Americans keep subtitles on most of the time they watch. Preply, 2022
more likely to finish a video when captions are there. Verizon Media / Publicis, 2019
Getting your own words right.
Your product names, the guest's name, the technical terms your niche actually uses. Plus who is talking, which YouTube never tells anyone.
Sounding like you in another language.
A translation can be correct and still sound nothing like you. Your jokes land flat, your catchphrase gets reworded every episode, and Spanish viewers get a formal register you have never used.
When someone picks Spanish in your player, YouTube is not listening to your video. It is translating your English caption track. So every mistake in that one file can travel into other languages. Correcting the source gives every translation a better starting point.
Illustrative examples, not actual YouTube transcripts or guaranteed translation output.
Every language is built from your corrected English on its own, never translated out of another translation. Each one gets the same brief: your Creator Dossier.
One per channel, updated every time we work on your videos. How formal you are, which Spanish your audience speaks, the phrases you always use, the ones you would never say. It sticks with your channel, so your two hundredth video sounds like your first.
Each one transcribes your line without seeing the others. Agreement is strong evidence; disagreement is exactly where we look harder.
When they disagree, another model listens to that exact second again, and looks at your video frame if the word is written on screen.
A captioner reviews the moments still flagged, not every line by default. What they decide goes into your dossier for next time.
A finished package for the languages you publish—not another dashboard or a transcript you still have to proofread.
SRT and VTT tracks with cue timing intact, handed back or uploaded with your permission.
Changed lines and reviewer notes wherever context or judgement settled the wording.
Terminology, speaker names, dialect and voice carried into the next batch.
How you speak, who appears with you, the words your niche uses, and every decision we made last time.
Every video we caption adds to it, so the next one starts from what we already know instead of guessing again.
Pay per finished minute, only for what you publish. A 12‑min video with selective human review is about $16. We confirm the exact amount before work starts.
Your English captions fixed against your script and audio. SRT and VTT back within 48 hours, ready to upload.
The same, plus a captioner checking the moments our process still flags—not every line by default.
Everything above, plus subtitle tracks built independently from the corrected source and your Creator Dossier.
Poor room audio, overlapping speakers or unusual material is flagged and priced before we begin—never added afterwards.
The $5 tools are cheap because nothing checks their work. Agencies charge a lot because a person reads every single line, including the 90% that were already fine.
We only pay a human to look where the models disagree. You get real human review, aimed at the lines that actually need it, and you are not paying anyone to retype what was already correct.
We take three recent videos, correct the source captions, and show you what Spanish, Portuguese and German viewers have been reading. Five working days, free. If you choose to share subtitle analytics, we'll also show which languages your audience already uses.