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Transcribe a speech recording to text and SRT subtitles

Transcribes the first minute of JFK's public-domain 1962 Rice University speech with the open Whisper model and returns the transcript plus SRT and VTT subtitle files. Replace the link with your own audio or video file.

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Transcribe Audio & Video to Text: Speech to Text, SRT, VTT
Transcribe Audio & Video to Text: Speech to Text, SRT, VTTphaux/audio-video-transcriber
Status
File
Episode
Lang
+6 fields
Text
Number
Boolean
List
Object

Input

Media file URLs
url:https://upload.wikimedia.org/wikipedia/commons/5/50/Jfk_rice_university_we_choose_to_go_to_the_moon.ogg
Model:base
Language:en
Max minutes per file:1
Output formats (text, SRT subtitles, VTT captions):text+2

Output fields

Status
File
Episode
Lang
Duration (s)
Minutes
Transcript
SRT
VTT
Error

How it works

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The Transcribe Audio & Video to Text: Speech to Text, SRT, VTT Actor is ready to run with the inputs already set for "Transcribe a speech recording to text and SRT subtitles". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Transcribe a speech recording to text and SRT subtitles" task

The Transcribe Audio & Video to Text: Speech to Text, SRT, VTT Actor will start running based on the input automatically. You can also change all the input fields, like media file urls, model, and more, to match your specific use case.

Receive the "Transcribe a speech recording to text and SRT 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 status, file, episode, 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 a speech recording to text and SRT subtitles" task via API.

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