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Transcribe a speech to text with timestamps

Transcribes a recorded speech (JFK's 'We choose to go to the Moon', public domain) into text, timed segments and SRT subtitles. Paste any MP3, WAV, M4A, OGG or video link.

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Audio & Video to Text — Whisper Speech to Text, Podcasts, SRT
Audio & Video to Text — Whisper Speech to Text, Podcasts, SRTtidydata/audio-video-transcription
Source
Title
Status
Language
+6 fields
Text
Number
Boolean
List
Object

Input

Audio / video links, share links or podcast feeds(required)
url:https://upload.wikimedia.org/wikipedia/commons/5/50/Jfk_rice_university_we_choose_to_go_to_the_moon.ogg
Language:en
Include SRT and VTT subtitles:true

Output fields

Source
Title
Status
Language
Minutes
Text
Srt
Vtt
Segments
Error

How it works

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

Start the "Transcribe a speech to text with timestamps" task

The Audio & Video to Text — Whisper Speech to Text, Podcasts, SRT Actor will start running based on the input automatically. You can also change all the input fields, like audio / video links, share links or podcast feeds, language, and more, to match your specific use case.

Receive the "Transcribe a speech to text with timestamps" 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 source, title, status, 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 to text with timestamps" task via API.

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