Convert, chunk, and enrich your documents with semantic precision. Perfect for building AI applications, vector databases, and knowledge retrieval systems.

From raw markdown to production-ready chunks in minutes. Watch how semantic chunking preserves the context that makes your RAG responses actually useful.
7 day free trial · No credit card required
I hate capitalism, show me the open source repo instead.Don't settle for simple text splitting. Choose from multiple strategies including Fixed Size, Paragraph, Heading-based, and Semantic chunking. Fine-tune parameters like window size and overlap to optimize for your specific LLM context window.

Make your chunks retrieval-ready. Automatically generate summaries, extract keywords, and apply custom metadata schemas. Define typed fields (text, number, array, json) to structure your unstructured data effectively.

Trust but verify. Our visual overlay system maps chunks directly back to the original PDF, showing you exactly where each piece of text comes from. Identify missing context or poor splits instantly.

No tiers, no bundles. Just one clear plan that scales with your needs.
5,000 credits = ~500 pages of documents processed
7 day free trial (1,000 credits)$0.00 Today - No credit card required
"Our previous chunking methods were feeding incorrect context to the LLM and we couldn't figure out why. Being able to visualize our chunks and adjust boundaries in real-time showed us exactly where context was breaking. Fixed it in hours, not weeks."
AcreBlitz
Agricultural Technology Platform
Whether you're building RAG systems, knowledge bases, or document analysis tools, ChunkForge has you covered.
Prepare documents for vector databases and LLM retrieval systems.
Structure documentation and knowledge resources for AI assistants.
Break down research papers, reports, and books for analysis.
Join developers and researchers using ChunkForge to power their AI applications.
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