RCRAG Converter

Pricing

The browser converter is free because it runs on your machine, not ours.

Free

$0

No account. Nothing uploaded.

  • 10 files per day
  • PDF, Word, PowerPoint, Excel, Markdown, images, audio
  • Token-sized overlapping chunks
  • chunks.jsonl + manifest.json download
  • Runs entirely in your browser
Start converting

Questions

What does RAG Converter do?

RAG Converter turns documents into embeddings that an AI can search. It reads PDF, Word, PowerPoint, Excel, Markdown, image and audio files, splits them into overlapping passages, and exports JSONL you can load into any vector database.

What is RAG, in plain terms?

RAG stands for retrieval-augmented generation. It makes your personal and work files AI readable: the files are split into passages and turned into vectors, so an AI assistant can look up the relevant passage and answer from your documents instead of guessing.

Are my documents uploaded anywhere?

No. The free converter is compiled to WebAssembly and runs inside your browser tab, so your documents are read by the page and never sent to a server. The page does ask our server how many free conversions remain, and that request carries only a number.

Is there an API for developers?

Yes. POST a document to /v1/convert and the same JSONL comes back, so a script and a person get an identical artifact. The API also runs the full-size models a browser cannot - OCR at native resolution, speech transcription and video - and has no file limit. It needs a sign-in; the browser converter does not.

  • rusty_ragdocument ingest, chunking and retrieval
  • rusty_xmlWord, PowerPoint and Excel, without LibreOffice
  • rusty_jpeg / rusty_pngimage decode
  • rusty_flacaudio decode
  • rusty_zstdcompression
  • rusty_allocthe allocator, in wasm too
  • rusty_timeNTP timestamps on every chunk
  • spacedbthe storage seam, CRDT per entry
  • FFAIthe AI toolkit the three engines below come from
  • CarmentaOCR - reads scans and screenshots, in your browser
  • Mercuryspeech recognition - turns recordings into transcripts
  • Argusvision - describes images and video frames

MATA Corporate Holdings © 2026 — Made in Scottsdale, Arizona

Remade with Rust