Simulate document chunking strategies for vector embeddings and RAG.
Execution runs 100% locally inside the browser sandbox using HTML5 Canvas, Web Cryptography Subtle API, and Web Workers. Zero egress.
Zero network latency. Operates completely offline with zero dependencies on third-party backend servers or cloud services.
Built according to official RFC specifications, cryptographic test vectors, and enterprise-grade data transformation standards.
Paste your raw text, transcript, or document content into the editor.
Define target token/character size, chunk overlap, and split delimiter (paragraphs, sentences, words).
Copy individual chunks or download all split parts for RAG vector indexing.
Overlap ensures semantic context is preserved across split boundaries for accurate vector embeddings and RAG retrieval.
Yes, approximations based on BPE tokenizers and character counts are supported.
Zero-egress companion tools in the AI Utilities suite
Calculate API inference cost given prompt and completion token counts.
Structure complex prompts using Claude-compliant XML encapsulation tags.
Design sequential multi-step prompt chains (Extraction -> Verification -> Summarization).
Generate systematic Prompt Eval test case matrices in JSON format for automated benchmark suites.
