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Who said what in a recording

The transcript split by speaker, so a two-person call or an interview comes back attributed instead of as one undifferentiated block of text.

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Speech to Text — YouTube, TikTok & Media URLs
Speech to Text — YouTube, TikTok & Media URLslergassy/speech-to-text
File
Speakers
Duration Seconds
Language
+4 fields
Text
Number
Boolean
List
Object

Input

🎙️ Video links or media files:https://raw.githubusercontent.com/lergassy/apify-actor-assets/main/audio-samples/sample-5min.m4a
🗣️ Speaker labels ($):true
🎚️ Recognition quality:accurate

Output fields

File
Speakers
Duration Seconds
Language
Model
Segment Count
Transcript
Status

How it works

Sign up on Apify or log in

The Speech to Text — YouTube, TikTok & Media URLs Actor is ready to run with the inputs already set for "Who said what in a recording". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Who said what in a recording" task

The Speech to Text — YouTube, TikTok & Media URLs Actor will start running based on the input automatically. You can also change all the input fields, like 🎙️ video links or media files, 🗣️ speaker labels ($), and more, to match your specific use case.

Receive the "Who said what in a recording" 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 file, speakers, duration seconds, 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 "Who said what in a recording" task via API.

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Integrate "Who said what in a recording" into your workflow

Connect "Who said what in a recording" with 100+ integrations, or run it via API or MCP.

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