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Convert an MP3 to SRT and VTT subtitles

Give it a direct link to an MP3 or another audio file and get timed SRT and WebVTT subtitle files back, plus the plain transcript in the dataset. Cues are kept short (8 words), which works well for video captions. The example file is a public-domain podcast episode, cut to the first 3 minutes so a test run costs next to nothing.

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Podcast Transcriber: Podcast & Audio to Text, MP3, SRT, VTT
Podcast Transcriber: Podcast & Audio to Text, MP3, SRT, VTTprime619/podcast-transcriber
Podcast title
Episode title
Published at (UTC)
Language
+8 fields
Text
Number
Boolean
List
Object

Input

Direct audio/video file URL(s):https://traffic.megaphone.fm/NATIONALAERONAUTICSANDSPACEADMINISTRATION6370129648.mp3
Transcript files:srt+1
Max words per subtitle cue:8

Output fields

Podcast title
Episode title
Published at (UTC)
Language
Transcribed (s)
Words
Billed audio minutes
TXT file
SRT file
VTT file
JSON file
Full text

How it works

Sign up on Apify or log in

The Podcast Transcriber: Podcast & Audio to Text, MP3, SRT, VTT Actor is ready to run with the inputs already set for "Convert an MP3 to SRT and VTT subtitles". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Convert an MP3 to SRT and VTT subtitles" task

The Podcast Transcriber: Podcast & Audio to Text, MP3, SRT, VTT Actor will start running based on the input automatically. You can also change all the input fields, like direct audio/video file url(s), transcript files, and more, to match your specific use case.

Receive the "Convert an MP3 to SRT and VTT subtitles" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as podcast title, episode title, published at (utc), and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Convert an MP3 to SRT and VTT subtitles" task via API.

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