Audio to SRT: Turn Recordings and Videos Into Subtitles

An SRT file is a sequence of numbered blocks. Each block holds a start time, an end time and the text to display, for example 00:00:01,200 --> 00:00:03,400. Every player and editor from YouTube to Premiere to DaVinci Resolve reads that shape.

Because it is plain text, you can open it in any editor and correct a single timestamp without touching the rest. That is why SRT remains the default subtitle format even though newer formats exist.

Audio in MP3, WAV, M4A, OGG or WEBM, and video files that carry an audio track, up to 15 MB per file. A compressed MP3 of 15 MB is usually fifteen to twenty minutes of speech. Uncompressed WAV reaches the limit much sooner.

Clean the source when you can. A single speaker, no background music and a steady level produce noticeably better timestamps than a noisy recording with overlapping voices.

The model returns timed segments alongside the text. The tool converts those segments into SRT blocks and offers the file as a download next to the transcript. Segments are usually a sentence or a short phrase, which is the right granularity for reading.

Timings come from the audio rather than from a guess, but they are still approximate. Fast speech, long pauses and music-only intros are the places where a boundary can land early or late by a fraction of a second.

If subtitles drift later as the video plays, the cause is usually a constant offset: add or subtract the same amount from every block instead of editing blocks one by one. If the drift grows over time, suspect a frame-rate mismatch between the file you transcribed and the timeline you are editing.

Keep each subtitle under two lines and around 42 characters per line. Viewers read faster than they think, but not fast enough for a paragraph parked on screen for two seconds.

The transcription model accepts 13 language hints: Arabic, English, German, Spanish, French, Hindi, Italian, Dutch, Portuguese, Chinese, Russian, Korean and Japanese, plus auto-detect. Urdu is not on that list yet, so Urdu audio needs manual checking or a different workflow.

Accuracy follows recording quality. Clear dictation is close to perfect. Heavy accents, crosstalk and music reduce it. Auto-detect is a good default for a single-language clip and a poor fit for clips that switch languages mid-sentence.

Transcribe the file, read the transcript once for obvious errors, then download the SRT and import it into your editor. Watch the first minute with subtitles on to confirm that timing matches the picture.

Fix names, brands and technical terms first, because those are the errors a viewer notices. Punctuation and line breaks come second; most players wrap text automatically.