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Transcribe a speech and get an AI summary with chapters

Transcribe President Reagan's 1986 Challenger address (public domain, about 4 minutes) and add an AI summary with timestamped chapters. Works the same for lectures, sermons, webinars, earnings calls and meeting recordings: paste MP3, WAV or M4A links and get text, subtitles, a summary and chapters in one run.

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Audio Transcription - Speech to Text, Audio to Text, Whisper
Audio Transcription - Speech to Text, Audio to Text, Whispertidytools/audio-transcriber
Audio
Episode
OK
Language
+6 fields
Text
Number
Boolean
List
Object

Input

Audio or video file URLs:https://upload.wikimedia.org/wikipedia/commons/0/01/President_Ronald_Reagan%27s_Address_to_the_Nation_on_the_Explosion_of_The_Space_Shuttle_Challenger_from_the_Oval_Office_-_DPLA_-_0f2ec85660d45e2ed94bb8dc3579d2e4.mp3
AI summary and chapters:true
Language (optional):en

Output fields

Audio
Episode
OK
Language
Duration (s)
Billed min
Transcript
Summary
SRT
Error

How it works

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The Audio Transcription - Speech to Text, Audio to Text, Whisper Actor is ready to run with the inputs already set for "Transcribe a speech and get an AI summary with chapters". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Transcribe a speech and get an AI summary with chapters" task

The Audio Transcription - Speech to Text, Audio to Text, Whisper Actor will start running based on the input automatically. You can also change all the input fields, like audio or video file urls, AI summary and chapters, and more, to match your specific use case.

Receive the "Transcribe a speech and get an AI summary with chapters" 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 audio, episode, OK, 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 and get an AI summary with chapters" task via API.

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