Podcast Audio to RAG — Passages with Source Timestamps

Created by

Sergey Andronik

Actor

Audio & Video Transcriber — Speech to Text API

Prepare an individual public podcast recording for RAG/search: transcript passages, source URL, original timestamps and downloadable JSONL. Starts with a short speech sample, not a podcast. Add your own embedding/indexing step. The $0.10 demo cap may stop longer inputs; review budget and timeout.

Try for free

Audio & Video Transcriber — Speech to Text APIandronixmd/speech-to-text-transcriber

Source URL

Retrieval passages

Transcript

No speech detected

+12 fields

Input

Audio / video URLs:https://storage.googleapis.com/cloud-samples-data/speech/commercial_mono.wav

Timestamp granularity:segment

Export RAG passages (JSONL):true

Output fields

Source URL

Retrieval passages

Transcript

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 Audio to RAG — Passages with Source Timestamps". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Podcast Audio to RAG — Passages with Source Timestamps" 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, timestamp granularity, and more, to match your specific use case.

Receive the "Podcast Audio to RAG — Passages with Source Timestamps" 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, retrieval passages, transcript, and more.