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Convert MP3 to Text - Audio Transcript with Timestamps

Turn an MP3 (podcast, interview, lecture, voice note) into a clean text transcript with timestamped segments and SRT/VTT/TXT files. Whisper speech recognition, language auto-detected, $0.008 per audio minute.

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Transcribe Audio & Video to Text - Speech to Text, Whisper SRT
Transcribe Audio & Video to Text - Speech to Text, Whisper SRTkantolabs/audio-video-to-text
File
Duration (s)
Language
Model
+6 fields
Text
Number
Boolean
List
Object

Input

Audio or video file URLs:https://archive.org/download/gettysburg_johng_librivox/gettysburg_address_64kb.mp3
Spoken language:auto
Files to save:txt+2

Output fields

File
Duration (s)
Language
Model
Minutes
Transcript
SRT
VTT
TXT
Error

How it works

Sign up on Apify or log in

The Transcribe Audio & Video to Text - Speech to Text, Whisper SRT Actor is ready to run with the inputs already set for "Convert MP3 to Text - Audio Transcript with Timestamps". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Convert MP3 to Text - Audio Transcript with Timestamps" task

The Transcribe Audio & Video to Text - Speech to Text, Whisper SRT Actor will start running based on the input automatically. You can also change all the input fields, like audio or video file urls, spoken language, and more, to match your specific use case.

Receive the "Convert MP3 to Text - Audio Transcript 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 file, duration (s), language, 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 MP3 to Text - Audio Transcript with Timestamps" task via API.

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