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SRT Transcript to Timestamped RAG Chunks

Turn SRT subtitles into timestamped JSON for video search and RAG. Original CC0 teaching transcript fixture.

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SRT & WebVTT to JSON Subtitle Chunker for RAG
SRT & WebVTT to JSON Subtitle Chunker for RAGskilled_glee/subtitle-rag-chunker
sourceName
startTimestampMs
endTimestampMs
text
+1 field
Text
Number
Boolean
List
Object

Input

Subtitle inputs
Raw subtitle text:1 00:00:01,000 --> 00:00:05,000 This lesson explains stable identifiers for document retrieval. 2 00:00:05,000 --> 00:00:09,000 Store source timestamps with each chunk to let readers verify context.
Source name:original-cc0-srt-lesson
Chunk size:100
Overlap:0

Output fields

sourceName
startTimestampMs
endTimestampMs
text
chunkId

How it works

Sign up on Apify or log in

The SRT & WebVTT to JSON Subtitle Chunker for RAG Actor is ready to run with the inputs already set for "SRT Transcript to Timestamped RAG Chunks". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "SRT Transcript to Timestamped RAG Chunks" task

The SRT & WebVTT to JSON Subtitle Chunker for RAG Actor will start running based on the input automatically. You can also change all the input fields, like subtitle inputs, to match your specific use case.

Receive the "SRT Transcript to Timestamped RAG Chunks" 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 sourcename, starttimestampms, endtimestampms, 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 "SRT Transcript to Timestamped RAG Chunks" task via API.

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