Use STARTNOW coupon code and get 300 free credits to start exploring immediately!

PREPROCESS
Documentation Login

Embed Evidence.

Learn more

High‑Fidelity
Document Viewer
for RAG Apps

High‑Fidelity Document Viewer
for RAG Apps

Render the original file inside your product, whatever PDF, DOCX, PPTX, XLSX it is.

Highlight exactly the passages your LLM retrieved, no more guessing where the answer came from.

Render the original file inside your product,
whatever PDF, DOCX, PPTX, XLSX it is.

Highlight exactly the passages your LLM retrieved,
no more guessing where the answer came from.
Try it now   
Try it now   




Stop sending users to external viewers

If users can’t see the exact evidence behind an LLM answer, they won’t trust it.
Screenshots? Out‑of‑sync. Raw text? Missing layout.
You can now provide the authentic visual context.

Stop sending users to external viewers

If users can’t see the exact evidence behind an LLM answer, they won’t trust it.
Screenshots? Out‑of‑sync. Raw text? Missing layout.
You can now provide the authentic visual context.




Multi‑Format

Renders PDFs and Office docs natively with a headless conversion pipeline under the hood. Your users always see the original page layout.





Precise Highlights

Pass chunks from your RAG pipeline and the viewer will auto‑scroll and spotlight the evidence. The highlight logic is completely in your hands, from chunks to pages, with no fragile text search.





Embed in Seconds

Generate a self‑contained HTML bundle to be embedded into an iframe. Works in React, Vue, Django, Flask, FastAPI… anywhere a browser lives.





Lightweight & Secure

No external servers. The viewer runs fully in the browser and serves files from your backend with your access permission logic.










Less boilerplate,
more product.

Add trustworthy document evidence to your RAG app in a few lines of code.

View on GitHub

Built to Pair with Preprocess.

Python 
from pypreprocess import Preprocess
from rag_document_viewer import RAG_DV

# Preprocess a file
preprocess = Preprocess(
    api_key="YOUR_API_KEY",
    filepath="path/to/file",
    boundary_boxes=True
)
preprocess.chunk()
preprocess.wait()
result = preprocess.result() 

# Generate an HTML viewer with highlighting capabilities
RAG_DV(
    file_path="path/to/file",
    store_path="/path/to/viewers/doc1",
    chunks=result.data["boundary_boxes"]["boxes"]
)