Prepare PDF for AI
Extract, clean, and chunk a PDF's text for LLM or RAG ingestion, with configurable chunk size and overlap. Free, private, runs entirely in your browser.
Click to select a PDF file, or drag and drop
Your file never leaves your browserHow to Prepare a PDF for AI / RAG Ingestion
- Upload the PDF you want to prepare.
- Set the chunk size (default 1000 characters) and overlap (default 100 characters) between consecutive chunks.
- Click Clean & Chunk for AI — text is extracted, whitespace is normalized, and it's split into numbered chunks.
- Copy all chunks or download them as a
.txtfile (chunks separated by headers) or a.jsonarray of strings.
Example
A 10-page manual with messy spacing and repeated blank lines is cleaned up, then split into 1000-character chunks with a 100-character overlap — so context isn't lost at chunk boundaries — ready to embed and index for a retrieval-augmented generation (RAG) pipeline or to paste into an LLM's context window.
Common Use Cases
- Preparing a document for a RAG pipeline that needs pre-chunked, cleaned text.
- Splitting a long PDF into pieces that fit within an LLM's context window.
- Cleaning up extracted PDF text before embedding or indexing it.
FAQ
- Why use overlap between chunks? Overlap keeps a bit of context from the end of one chunk repeated in the next, so a fact or sentence split at a chunk boundary isn't lost when a language model or search index processes each chunk independently.
- What size chunk should I use? 500–1500 characters works well for most RAG setups; use smaller chunks for precise retrieval or larger chunks if your model or index handles more context per entry.
- Does this remove headers and footers? It only normalizes whitespace (collapsing extra spaces and blank lines) — it does not attempt to detect and strip repeated headers or footers, since reliably identifying those varies a lot by document.
- Is my file uploaded anywhere? No — extraction, cleaning, and chunking all happen entirely in your browser; the PDF is never sent to a server.