Convert Word, PDF, Excel and PowerPoint to clean Markdown for language models and knowledge bases
Click to select a file or drag and drop
Supported: PDF, DOCX, DOC, XLSX, XLS, PPTX, CSV, HTML, EPUB, JSON, XML, TXT, MD
AI language models work best with clean, structured text. Convert your Office documents and PDFs into Markdown that ChatGPT, Claude, and RAG systems can process efficiently.
Markdown uses far fewer tokens than HTML or rich text, saving costs on API calls.
Headings, lists, and tables remain clear, helping models understand document hierarchy.
Perfect for vector databases and retrieval-augmented generation pipelines.
Markdown sections naturally split into semantic chunks for embedding.
Paste converted documents into ChatGPT with minimal token overhead.
Feed Markdown into vector databases like Pinecone, Weaviate, or Chroma.
Prepare training data for custom language models.
Build searchable, AI-indexed knowledge repositories.
PDFs often contain formatting noise and positional data that waste tokens. Markdown gives you pure text structure, which is exactly what language models need.
It removes excess blank lines, empty table rows, broken formatting, and image placeholders — common artifacts that distract AI models without adding meaning.
We use the GPT tokenizer for precise counts. Token usage may vary slightly between models (GPT-4, Claude, etc.), but the estimate is reliable for planning.
Yes. Convert each file individually (up to 10 MB), download the Markdown, and combine or chunk them as needed for your RAG pipeline or fine-tuning workflow.