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Podcast Speaker Labels — Who Said What
Transcribe a podcast with speaker diarization so every line is attributed, ideal for interviews and panel shows. CSV or JSON.
Transcribe Podcast to Text — Show Notes, SRT & Timestampssian.agency/transcribe-podcast-to-text
📝 Transcription
✂️ Segments
💬 SRT Subtitles
💬 VTT Subtitles
+8 fieldsTextNumberBooleanListObject
Input
🔗 Podcast Episode URLs:https://raw.githubusercontent.com/rara-cyber/podcast-test-file/main/KchSfOdwCJE-56eb7ccd6dc030fa3cc280ab26925c4e234.opus
🗣️ Language (Optional):auto
🔄 Translate to English (PAID):false
🎤 Speaker Diarization (PAID):true
🇪🇺 EU-Based Processing (PAID):false
Output fields
📝 Transcription
✂️ Segments
💬 SRT Subtitles
💬 VTT Subtitles
🗣️ Language
⏱️ Duration (s)
📦 File Size (MB)
Speakers
🗣️ Languages
✅ Success
Processed
🔎 Source
Sign up on Apify01
Create your Apify account to access the Transcribe Podcast to Text — Show Notes, SRT & Timestamps.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
