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Podcast to Text — Transcribe Podcast Episodes

Transcribe a public podcast episode to text with timestamps and SRT/VTT subtitles. Paste the episode's audio file link or episode page; direct MP3 links skip the download fee. Starts with a short public speech MP3, not a podcast. The $0.10 cap covers this demo; raise the budget and timeout for full episodes, up to 4 hours each.

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Audio & Video Transcriber — Speech to Text API
Audio & Video Transcriber — Speech to Text APIandronixmd/speech-to-text-transcriber
Source URL
Transcript
Paragraphs
No speech detected
+12 fields
Text
Number
Boolean
List
Object

Input

Audio / video URLs:https://storage.googleapis.com/cloud-samples-data/speech/brooklyn_bridge.mp3
Timestamp granularity:segment

Output fields

Source URL
Transcript
Paragraphs
No speech detected
Full result record
Detected language
Duration (seconds)
Engine
Speaker identity scope
Calculated minutes
Diarized
Payment status
Billing stopped
Processing stopped
Unavailable downloads
Error

How it works

Sign up on Apify or log in

The Audio & Video Transcriber — Speech to Text API Actor is ready to run with the inputs already set for "Podcast to Text — Transcribe Podcast Episodes". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Podcast to Text — Transcribe Podcast Episodes" task

The Audio & Video Transcriber — Speech to Text API Actor will start running based on the input automatically. You can also change all the input fields, like audio / video urls and timestamp granularity, to match your specific use case.

Receive the "Podcast to Text — Transcribe Podcast Episodes" 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 url, transcript, paragraphs, 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 "Podcast to Text — Transcribe Podcast Episodes" task via API.

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Integrate "Podcast to Text — Transcribe Podcast Episodes" into your workflow

Connect "Podcast to Text — Transcribe Podcast Episodes" with 100+ integrations, or run it via API or MCP.

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