Podcast Episode to RAG Chunks with Time Citations

Created by

Landon Brewington

Actor

Audio & Video Transcription to JSON: RAG Chunks + Timestamps

Paste a podcast, lecture or meeting recording URL (MP3, MP4, M4A, WAV and more) and get the transcript as JSON: timestamped segments, RAG chunks with time citations like 00:12:03-00:12:48, SRT and VTT subtitles. Runs open-source Whisper on CPU, no speech API key needed. The preset uses a short public-domain sample so you can see the output before pointing it at your own file.

Try for free

Audio & Video Transcription to JSON: RAG Chunks + Timestampslandoz/transcribe-to-json-chunks

Source URL

File

Duration (ms)

Language

+3 fields

Input

Audio or video URLs:https://archive.org/download/gettysburg_shurtagal_librivox/Gettysburg_Address_Lincoln_64kb.mp3

Accuracy tier:standard

Language:auto

Chunk size (characters):1200

Output fields

Source URL

File

Duration (ms)

Language

Tier

Chunks

Error

How it works

Sign up on Apify or log in

The Audio & Video Transcription to JSON: RAG Chunks + Timestamps Actor is ready to run with the inputs already set for "Podcast Episode to RAG Chunks with Time Citations". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Podcast Episode to RAG Chunks with Time Citations" task

The Audio & Video Transcription to JSON: RAG Chunks + Timestamps Actor will start running based on the input automatically. You can also change all the input fields, like audio or video urls, accuracy tier, and more, to match your specific use case.

Receive the "Podcast Episode to RAG Chunks with Time Citations" 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, file, duration (ms), 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 Episode to RAG Chunks with Time Citations" task via API.