Subtitle RAG Chunker
Pricing
$5.00 / 1,000 document with useful outputs
Convert SRT and WebVTT subtitles into timestamped JSON chunks for video transcript RAG, semantic search and vector databases. Preserve cue timestamps, source provenance, stable chunk IDs and SHA-256 hashes.
You can access the Subtitle RAG Chunker programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "items": [{9 "rawText": """11000:00:00,000 --> 00:00:02,00011Deterministic subtitle health fixture.12
1321400:00:02,000 --> 00:00:04,00015The same input produces the same stable chunk identifiers.""",16 "sourceName": "apify-health-fixture",17 }] }18
19# Run the Actor and wait for it to finish20run = client.actor("skilled_glee/subtitle-rag-chunker").call(run_input=run_input)21
22# Fetch and print Actor results from the run's dataset (if there are any)23print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")24for item in client.dataset(run.default_dataset_id).iterate_items():25 print(item)26
27# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Subtitle RAG Chunker API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: