Convert Audio to an SRT Subtitle File
Upload an audio file and ScreenApp transcribes the speech, then lines the text up with timestamps so it downloads as an SRT file. You get the subtitle file to add to a video, publish alongside a podcast, or hand to a translator, without typing out the audio by hand.
ScreenApp does not turn your audio into a video with captions burned in. What you get is the subtitle file itself: SRT or VTT, ready to upload wherever the platform accepts one. If you want to look it over before publishing, the subtitle quality checker catches overlaps and over-long lines that are invisible in a text editor.
What you get:
- A transcript with timestamps, in 100+ languages
- Export the transcript as PDF, DOCX, TXT, SRT and VTT
- speaker identification, when more than one person talks
- transcript and caption translation, for a second-language subtitle track
- Free plan: 2 transcriptions of recordings up to 45 minutes each
How to Convert Audio to SRT
- Drag in an MP3, WAV, M4A, FLAC or similar file, or record straight into ScreenApp.
- Let it transcribe. The speech is matched to timestamps as it goes, so the timings come from the audio rather than being estimated afterwards.
- Read the transcript, fix anything it misheard, then export as SRT or VTT.
Accuracy depends on the audio more than anything else. One person speaking clearly transcribes close to clean. Two people talking over each other, or a recording with a fan running behind it, leaves you more to correct. See how we measure accuracy.
One thing worth knowing before you sync it to video: the timestamps are measured from the start of the audio file you uploaded. If that recording begins at a different moment than your video does, which is normal when the audio was captured separately, every caption will sit at a fixed offset and you shift the whole file rather than fixing cues one by one.
If you want several formats out of one upload, the multi-format audio to subtitle converter exports SRT, VTT and others together.
Audio to SRT Converter vs Other Apps
| Feature | ScreenApp | Uniscribe | Otter.ai | Rev.com |
|---|---|---|---|---|
| Free plan | 2 transcriptions, up to 45 min each | 120 min/month, 30 min per file | 300 min/month, 30 min per conversation | Recording free, transcription paid |
| SRT export | PDF, DOCX, TXT, SRT and VTT | Word, CSV, PDF, TXT, SRT, and VTT | mp3 and txt on the free plan, plus pdf, docx and srt from Pro, with bulk export from Business | Not stated |
| Languages | 100+ | 63 | 6 | Not stated |
| Paid plan | $19/month annual | $6/month annual | $8.33/month annual | $25.49/month annual |
Sources, checked 2026-10-01: ScreenApp supported languages, ScreenApp pricing, uniscribe.co/pricing, Otter pricing, Rev pricing
Uniscribe gives you 120 minutes a month free, capped at 30 minutes per file, with Basic from $6 a month billed annually. The language counts differ too: 100+ here against Uniscribe’s 63.
Otter is the one to read carefully. Its free tier stops at 300 minutes a month, and SRT export (mp3 and txt on the free plan, plus pdf, docx and srt from Pro, with bulk export from Business) sits behind a paid plan, so a free Otter account will transcribe your audio and then not let you take the subtitle file out of it. SRT export is on the free plan here.
Rev works differently again. The recorder costs nothing but AI transcription is paid, at $25.49 a month billed annually, which is fine for one file and adds up across a season of episodes.
Who Uses an Audio to SRT Converter
Podcasters are the obvious case. A show that also goes out as video needs captions, and the audio has already been transcribed once for the show notes, so converting that same track to SRT avoids paying for the work twice.
Anyone recording voiceover separately from picture lands here for a different reason. The clean voice track transcribes far better than the finished mix does, because there is no music or room tone sitting under the words. Editors and filmmakers tend to arrive at this by accident, after feeding a final export to a transcription tool and getting back something worse than the raw audio would have produced.
Translators want it for the timings rather than the words. Starting from an accurate source-language SRT means the translated file inherits timing that was measured against real speech, so nobody has to re-time anything by hand afterwards. Accessibility and education teams use it the same way, working from the audio track of a lesson or a public briefing rather than the video.
