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Captions are not an accessibility afterthought on short-form, they are the primary reading surface: the large majority of feed video is watched muted, so for most viewers the captions are the audio. That makes caption quality a retention variable rather than a polish step. The two things that actually matter are timing accuracy and legibility at small size on a bright screen, and both are decided by how the captions are generated. Captions estimated from a script rather than measured from the finished audio drift, and drift is what makes a video feel cheap even when everything else is good.
A script tells you the words, not when they are said. Captions timed by dividing the script across the clip length go out of sync the moment delivery varies, and the mismatch is subtly wrong in a way viewers feel before they identify. Reeloop transcribes the generated voiceover with Whisper and burns word-level timings from the actual audio, so each word appears when it is spoken. That is what makes karaoke-style highlighting possible at all - it needs real per-word timestamps, not an average.
Captions are read on a phone, often outdoors, usually in under a second. That argues for high contrast, a heavy weight, a stroke or shadow so text survives a bright background, and a safe area clear of platform UI - TikTok and Reels both overlay the lower third and the right edge with controls, and captions placed there are simply not read. Keep lines short. Reeloop offers caption styles you set once per channel so every episode is consistent, which also builds visual recognition across a feed.
Burned-in captions are not the same as an accessibility caption track. Platform caption files can be turned on by users, adjusted in size, and read by assistive technology, so publishing both serves more viewers than either alone. Translated captions are the cheapest reach expansion available to a faceless channel, and Reeloop can voice and caption the same script in over thirty languages. Check translated output rather than trusting it at volume, since caption errors are more visible than narration errors - the mistake sits on screen for the whole clip rather than passing in a second of audio.
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You can output your videos in 9:16, 1:1, and 16:9 formats.
Series mode allows you to automate daily video creation on autopilot.
Yes - captions are burned in automatically, and you choose the caption style before generating.
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