Turn recordings into RAG chunks for a vector database

Created by

HJL Analytics and AI development

Actor

Audio & Video Transcriber - Speech to Text, SRT & Timestamps

Transcribe audio and split it into timestamped chunks ready for embedding. Each chunk keeps its start time so answers can cite the moment.

Try for free

Audio & Video Transcriber - Speech to Text, SRT & Timestampsreadable_slash/audio-video-transcriber

File

Lang

Chunks

RAG chunks

Input

Media URLs(required):https://archive.org/download/aesop_fables_volume_one_librivox/fables_01_00_aesop_64kb.mp3

Output fields

File

Lang

Chunks

RAG chunks

How it works

Sign up on Apify or log in

The Audio & Video Transcriber - Speech to Text, SRT & Timestamps Actor is ready to run with the inputs already set for "Turn recordings into RAG chunks for a vector database". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Turn recordings into RAG chunks for a vector database" task

The Audio & Video Transcriber - Speech to Text, SRT & Timestamps Actor will start running based on the input automatically. You can also change all the input fields, like media urls, to match your specific use case.

Receive the "Turn recordings into RAG chunks for a vector database" 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, lang, chunks, 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 "Turn recordings into RAG chunks for a vector database" task via API.