Everything to Markdown & LLM Context Compression Workbench

Transform raw HTML DOM trees, CSV/JSON datasets, and binary Office/PDF documents into clean, token-optimized GitHub-Flavored Markdown (GFM) using our zero-latency browser compiler or Cloudflare Workers AI (env.AI.toMarkdown).

Dual-Engine Compiler Ready — Local Browser AST (0ms) + Cloudflare Workers AI Edge
Drop file here or click to browse (.html, .csv, .json, .pdf, .docx, .xlsx, .pptx)
Markup/text files convert locally in 0ms · Binary Office/PDF files use Workers AI /api/convert
Source BPE tokens
182
Markdown BPE tokens
114
Context reduction
-37.4% saved
Active engine
Local AST (0ms)
Chunk for RAG vector DB

Supported Document Formats & Token Reduction Benchmarks

Feeding raw HTML pages or binary PDFs directly into frontier LLMs wastes context window capacity on layout tags and metadata. The table below compares raw token footprints against structured Markdown across common enterprise document formats:

Supported file extensions, execution engine, and average BPE token reduction
Document category Extensions Execution engine Avg token reduction Table & code preservation
Web & Markup .html, .htm, .xml Local Browser AST + Workers AI 68% – 82% GFM pipe tables & fenced code
Tabular & Structured Data .csv, .tsv, .json Local Table Compiler + Workers AI 35% – 54% Auto-aligned GFM pipe tables
Portable Document Format .pdf Workers AI env.AI.toMarkdown 58% – 72% Multi-page heading & table extraction
Microsoft Office Suite .docx, .doc, .xlsx, .xlsm, .xls, .pptx, .ppt Workers AI env.AI.toMarkdown 60% – 75% Sheet-to-table & slide outline
OpenDocument & Apple iWork .ods, .numbers, .pages, .key Workers AI env.AI.toMarkdown 55% – 70% Structured section hierarchy
Rich & Plain Text .txt, .md, .rtf Local Browser AST (0ms) 15% – 40% Whitespace normalization & YAML frontmatter

Dual-Engine Architecture: Client-Side AST vs. Cloudflare Workers AI

Everything to Markdown Studio combines two complementary conversion pipelines in a single edge deployment: