SRT to Speech

The timed-subtitle workflow

1. Upload the .srt file in the studio.
2. Review the detected cues and timestamps, then edit or remove any line.
3. Tick Preserve SRT start times if the audio has to match the video, or leave it off for one continuous read.
4. Pick a matching voice and generate the queue.
5. Download joined audio, separate cue files, or the project ZIP.

Why convert SRT to speech?

There are four common reasons. First, you want to publish a podcast or audiobook version of a YouTube video and the subtitles are the cleanest source of the script. Second, you have translated subtitles for a foreign-language video and want a same-language voiceover for redistribution. Third, accessibility, visually impaired users benefit from an audio-only version. Fourth, translators and editors review work by ear because mistakes that the eye misses jump out when read aloud.

Original cue timing vs a continuous read

The first real decision is whether the audio has to line up with the picture. Pick the wrong mode and you either get long dead silences or a track that drifts away from the video.

How cue timing works in this tool

Timing comes down to one checkbox in the settings panel, Preserve SRT start times. It is off by default.

With it off, the cues are spoken in order and joined end to end. The timestamps are ignored and no pause is added between cues, so the result is one continuous read, usually shorter than the video it came from. Your speed setting applies to every cue.

With it on, each cue starts exactly at its own start time and the gaps between cues stay silent. If the first subtitle appears at 00:00:05, the audio opens with five seconds of silence, so it lines up when you place it at the very start of your video timeline. To make each line fit, the tool picks a speed per cue. It estimates how long the words take at about 150 words a minute, compares that with the cue's window from start to end, and speeds the voice up or slows it down to match, anywhere from 0.5× to 2×. The speed slider is ignored in this mode.

Two things follow from that. A cue with a lot of words in a short window may need more than 2×. It gets 2×, runs past its end, and overlaps the start of the next cue, so you hear both at once. A cue with only a few words in a long window gets slowed down, as far as half speed, and can sound dragged out. Both problems live in the subtitle timing rather than the voice, so the fix is to edit the SRT: split the crowded cue, or pull in the end time of the sparse one.

Tips for clean subtitle-to-voice output

• Run the file through Caption QA before you generate. It flags overlapping cues and cues faster than 20 characters per second, and those fast cues are the ones that come out rushed or spill into the next line.
• Clean out sound descriptions. A tag on its own, such as [Music], gets read aloud. A tag in front of a line, as in "[Applause] Thank you", is treated as a speaker name and given its own voice.
• Watch for colons near the start of a cue. Everything before the first colon in the opening 36 characters counts as a speaker name, so "At 10:30 we start" turns into a speaker called "At 10" saying "30 we start". Write the time another way, like "half past ten".
• Use speaker names on purpose. Start cues with "ANNA:" or "[Anna]" and each name gets its own voice in the speaker panel. The name itself isn't spoken.
• Merge cues that cut a sentence in half. Each cue is generated on its own, so a sentence split across two cues is read as two separate pieces and the intonation restarts at the break.

What the importer expects

Standard SubRip cues are read as-is. Cue numbers and timestamps are stripped before anything is sent to the voice engine, so only the spoken lines are generated.

1
00:00:01,000 --> 00:00:03,400
Most creators never check the audio
before they publish.

2
00:00:03,600 --> 00:00:06,900
Watching the waveform takes ten seconds.

3
00:00:07,100 --> 00:00:09,500
Start with the first and last cue.

Three things trip people up. Every cue needs a timestamp line with an arrow (-->) and three-digit milliseconds, as in 00:00:01,000. An empty line has to separate one cue from the next. And a cue whose timestamp can't be read is skipped for speech rather than guessed. If lines go missing, check those three first, then run the file through Caption QA to find malformed blocks.

From SRT to voice in one pass

Turning SRT into voice is the same workflow whether you think of it as subtitle-to-speech, subtitle-to-voiceover, or SRT to voice. Upload the cues, decide on timing, pick a voice that matches the original speaker, and generate. Because each cue stays a separate item in the queue, a single mispronounced name can be regenerated on its own instead of rebuilding the whole track. Download the joined file for publishing, or the individual cue files when you plan to place each line against the picture in your editor.

Long subtitle files

Long subtitle files stay organized as individual cues. Select the cues you need, check their combined character total against the displayed cloud allowance, and export timing-aware audio or individual cue files.