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Interview Transcription with Word-Level Timestamps

Transcribe interview recordings to text with word-level timestamps using Whisper AI. For journalists and researchers. Only successful minutes charged.

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Speech to Text API: Audio to Text & Video to Text, Whisper
Speech to Text API: Audio to Text & Video to Text, Whispersauliusautomatesit/media-transcriber
Title
Uploader
Source
Lang
+9 fields
Text
Number
Boolean
List
Object

Input

Media URLs:https://upload.wikimedia.org/wikipedia/commons/d/d5/2010-08-23_VOA_News_interview_with_David_Rudisha.ogg
Processing tier / model:base
Word-level timestamps:true
Output formats:text+1
Max duration per item (minutes):60

Output fields

Title
Uploader
Source
Lang
Minutes
Words
Segments
Tier
Model
Billing receipt key
URL
Error code
Error

How it works

Sign up on Apify or log in

The Speech to Text API: Audio to Text & Video to Text, Whisper Actor is ready to run with the inputs already set for "Interview Transcription with Word-Level Timestamps". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Interview Transcription with Word-Level Timestamps" task

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

Receive the "Interview Transcription with Word-Level 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 title, uploader, source, 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 "Interview Transcription with Word-Level Timestamps" task via API.

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