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Transcribe MP3 to Text: Podcast Episode Transcript

An episode URL in, clean text out, split into timed segments for show notes. Needs your own OpenAI key; without one you get a labelled sample row.

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Video & Audio Transcriber - Word-Level SRT & VTT
Video & Audio Transcriber - Word-Level SRT & VTTdami_studio/video-audio-transcriber
Language
Word count
Segment count
Duration seconds
+3 fields
Text
Number
Boolean
List
Object

Input

Media URL:https://traffic.libsyn.com/secure/myshow/episode-142.mp3
Language:en
Include word timestamps:false
Output files:txt

Output fields

Language
Word count
Segment count
Duration seconds
Srt url
Vtt url
Text

How it works

Sign up on Apify or log in

The Video & Audio Transcriber - Word-Level SRT & VTT Actor is ready to run with the inputs already set for "Transcribe MP3 to Text: Podcast Episode Transcript". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Transcribe MP3 to Text: Podcast Episode Transcript" task

The Video & Audio Transcriber - Word-Level SRT & VTT Actor will start running based on the input automatically. You can also change all the input fields, like media url, language, and more, to match your specific use case.

Receive the "Transcribe MP3 to Text: Podcast Episode Transcript" 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 language, word count, segment count, 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 "Transcribe MP3 to Text: Podcast Episode Transcript" task via API.

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