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Transcribe MP3 to text with timestamps

Paste MP3, WAV, M4A or FLAC links and get the text back with timestamped segments plus SRT and VTT subtitles. English at $0.0025 per minute.

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Audio Transcription & Speech to Text: MP3, Podcasts, SRT
Audio Transcription & Speech to Text: MP3, Podcasts, SRTconserving_celerytop/audio-podcast-transcription
File
Episode
Status
Language
+7 fields
Text
Number
Boolean
List
Object

Input

Audio and video file links:https://raw.githubusercontent.com/openai/whisper/main/tests/jfk.flac
Podcast RSS feeds:https://example.com/podcast/feed.xml
Episodes per feed:1
Maximum files:10
Language:en
English accuracy:standard
Subtitle files:srt+1
Include timestamped segments:true
Maximum minutes per file:240
Maximum file size (MB):1024

Output fields

File
Episode
Status
Language
Length (s)
Billed minutes
Words
Transcript
SRT
VTT
Note

How it works

Sign up on Apify or log in

The Audio Transcription & Speech to Text: MP3, Podcasts, SRT Actor is ready to run with the inputs already set for "Transcribe MP3 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 MP3 to text with timestamps" task

The Audio Transcription & Speech to Text: MP3, Podcasts, SRT Actor will start running based on the input automatically. You can also change all the input fields, like audio and video file links, podcast rss feeds, and more, to match your specific use case.

Receive the "Transcribe MP3 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 file, episode, 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 MP3 to text with timestamps" task via API.

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