Pricing

$0.50 / 1,000 chunks

Text Chunker: Split Text & Documents into Chunks for RAG

Split long text or documents into properly sized, sentence-aware chunks with overlap for embeddings, vector databases, and RAG pipelines. Choose recursive, sentence-boundary, or fixed-token chunking. Fetch from URLs or paste text directly. Powered by Chonkie.

Pricing

$0.50 / 1,000 chunks

Rating

0.0

(0)

Developer

Raion Al

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Monthly active users

2 days ago

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Configure MCP server with Text Chunker: Split Text & Documents into Chunks for RAG

Get a ready-to-use configuration for your MCP client with the Text Chunker: Split Text & Documents into Chunks for RAG Actor preconfigured at mcp.apify.com?tools=raional/text-chunker .

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

RAG Text Chunker — heading & sentence aware, Japanese ready

shoebill-dev27/rag-text-chunker

Split Markdown or plain text into retrieval-ready chunks for RAG pipelines: cuts at headings, packs whole sentences up to a size limit with optional overlap, and tags every chunk with its heading breadcrumb. Handles Japanese sentence boundaries. No LLM cost.

Shinobu Otani

Text Splitter & Chunker for RAG / LLMs

zenomastro/text-splitter-for-llm

Split text into clean, overlapping chunks ready for embeddings, vector databases, RAG and LLM context. Configurable size, overlap, and split strategy.

Rosario Vitale

Rag Content Chunker

labrat011/rag-content-chunker

Turn raw text, Markdown, or Apify datasets into token-perfect RAG chunks with deterministic IDs, source metadata, and a billing-ready summary—ready for embeddings or vector DBs without extra glue code.

mick_

RAG Post Processor - Text Cleaner & Chunker for LLM Pipelines

jalicia/rag-post-processor

Clean and chunk scraped text for RAG and LLM pipelines. Strips HTML, collapses whitespace, splits into overlapping chunks ready for embedding. Works standalone or chained after any scraper. Per-row billing.

Jordan Wagner

📄 PDF Text Extractor

scraper-engine/pdf-text-extractor

📄✨ PDF Text Extractor extracts clean text from PDF files with precision. ⚡ Perfect for data mining, document processing, and searchable archives. 🚀 Fast, reliable, and efficient for your workflow!

Scraper Engine

PDF to RAG Markdown Chunks for Embeddings

awesome_highboy/docforge

Convert PDFs into token-bounded Markdown chunks for RAG, embeddings, and vector databases (Pinecone, Chroma, Weaviate, Qdrant). Set maxTokens + overlap; get clean chunks with page number, token count, and SHA-256 content hash for dedup. JSON dataset ready for any LLM pipeline.

Adam

RAG-Ready Markdown Converter & Chunker

foxpink/apify-rag-markdown-chunker

Convert raw HTML/text into clean Markdown and split into ready-to-ingest chunks for RAG pipelines, Vector DBs, and LLM fine-tuning workflows.

Nguyễn Anh Duy

4.7

(3)

RagChunk: Semantic RAG Splitter & Markdown Cleaner

flaretool/rag-semantic-chunker

Extract, clean, and semantically split documentation URLs into token-safe chunks for Vector DBs. Built-in HTML boilerplate stripping saves up to 40% on LLM token costs.

FlareTool

PDF to Markdown for RAG & LLMs (tables, no API key needed)

vivid_astronaut/pdf-to-markdown-for-rag

Convert PDFs to clean structured Markdown for RAG and LLM ingestion. Preserves tables. Flat $0.004/page, no API key required.

BRAINIALL Team

YouTube Transcript Scraper - Captions, Subtitles & RAG API

meilimiao/yt-transcript-captions-api

Extract YouTube transcripts, captions, subtitles, timestamps, metadata, SRT, WebVTT, Markdown, and RAG-ready chunks from videos, Shorts, channels, and playlists. Works with bulk URLs and residential proxy support.