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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.

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Transcribe Podcast to Text — Show Notes, SRT & Timestamps
Transcribe Podcast to Text — Show Notes, SRT & Timestampssian.agency/transcribe-podcast-to-text
📝 Transcription
✂️ Segments
💬 SRT Subtitles
💬 VTT Subtitles
+8 fields
Text
Number
Boolean
List
Object

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

How it works

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The Transcribe Podcast to Text — Show Notes, SRT & Timestamps Actor is ready to run with the inputs already set for "Podcast Speaker Labels — Who Said What". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Podcast Speaker Labels — Who Said What" task

The Transcribe Podcast to Text — Show Notes, SRT & Timestamps Actor will start running based on the input automatically. You can also change all the input fields, like 🔗 podcast episode urls, 🗣️ language (optional), and more, to match your specific use case.

Receive the "Podcast Speaker Labels — Who Said What" 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 📝 transcription, ✂️ segments, 💬 srt subtitles, 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 Speaker Labels — Who Said What" task via API.

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