In Arabic: ملف SRT
Transcription and captionsA plain-text subtitle format where each caption is numbered and has a start and end time. Most video platforms and editors accept it; VTT is a close relative used by web players.
Technology that turns spoken audio into written text, also called automatic speech recognition. For Arabic its accuracy depends on dialect, recording quality, overlapping speakers and English mixed into speech.
The standard accuracy measure for speech to text: substituted plus deleted plus inserted words, divided by the number of words in the correct transcript. Lower is better; in Arabic, spelling variants of hamza and taa marbuta also affect the score.
Splitting a recording by speaker to answer who spoke when, so the transcript comes out as turns: Speaker 1, Speaker 2.
Times attached to a transcript showing when each sentence or word was spoken in the recording. They are what turn a transcript into captions synced to the video.
A W3C caption format built for web video players. It resembles SRT but starts with a WEBVTT line, uses a full stop instead of a comma before milliseconds and supports more styling and positioning.
Text drawn into the video picture itself, so it is always visible and cannot be switched off or edited without re-exporting. Ideal for TikTok and Reels, where many people watch with the sound off.
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