Subtitles
Preparing accurate subtitles for a human review
A reliable subtitle workflow combines speech recognition, timing checks and a deliberate review pass.

Recognition is the first draft
Automatic speech recognition can remove a large amount of repetitive work, but a publishable subtitle file still benefits from human attention. Names, specialist terms, overlapping speakers and noisy recordings need context that a model may not have.
Timing affects readability
A correct sentence can still be difficult to read when a cue appears too briefly, crosses a scene change or contains too much text. Review segment length, reading speed and line breaks together.
SwiftTool keeps timestamps and text in the same project so changes can be reviewed before translation or export.
Approve the source before translation
Correct the source transcript first. Translating an unreviewed transcript multiplies spelling and segmentation mistakes across every target language.