Speaker Diarization: Who Said What in an Audio Recording
Speaker diarization for interviews, meetings, podcasts with guests and call recordings: every segment is labelled Speaker 1, Speaker 2 with timestamps, and the row gives the speaker count. The example labels the Apollo 13 "Houston, we've had a problem" exchange. Replace the link with your recording. $0.015 per audio minute with speaker labels.
Input
Output fields
Sign up on Apify or log in
The Audio Transcription - Speech to Text, Audio to Text, Whisper Actor is ready to run with the inputs already set for "Speaker Diarization: Who Said What in an Audio Recording". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Speaker Diarization: Who Said What in an Audio Recording" 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, speaker labels (who said what), and more, to match your specific use case.
Receive the "Speaker Diarization: Who Said What in an Audio 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 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 "Speaker Diarization: Who Said What in an Audio Recording" task via API.
Integrate "Speaker Diarization: Who Said What in an Audio Recording" into your workflow
Connect "Speaker Diarization: Who Said What in an Audio Recording" with 100+ integrations, or run it via API or MCP.
Webhook
n8n
Make
Zapier
Airbyte
Keboola
IFTTT
Hubspot
GDrive
Gmail
Apify MCP
GitHub
Slack
LangChain
LlamaIndex
Flowise
Pinecone
OpenAI
Mastra
Clay