Measured, not claimed
0.37%
The error rate we measured, not the one we were told.
One wrong word in 267, from a transcription engine we ran against a text whose wording was known before the tool ever saw it. The same score came back after we degraded the audio to laptop-mic quality.
Happy Scribe · 2-minute clip · scored against Project Gutenberg · read the method
What a measurement looks like here
Not an adjective about how natural a dub sounds. The actual speech blocks, read off the two audio files.
English original
Chinese dub
0s9s18s
Four more numbers
- 2 ms
Best-case drift between an ElevenLabs dub and the original speaker’s timing. Source →
- 27,000
Credits per minute of AI dubbing: about 22 seconds a month on the free plan. Source →
- 71 %
Machine-translated Chinese cues that broke the subtitle line-length limit. Source →
- 3 of 3
Unrelated translation engines that produced the identical register error. Source →
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