Answers must point back to sources
The Archive.ai is built around source-grounded document search. The product should help users inspect the original material, not replace it with unsupported claims.
About The Archive.ai
Documents
You Can Ask.
The Archive.ai turns private document collections into searchable, source-grounded answers for people who need to understand files faster.
Product focus
Private document intelligence
Built for upload, analysis, semantic retrieval, and cited chat over files owned by the user.
Why it exists
Files should not become forgotten storage.
Useful information often gets buried inside PDFs, reports, notes, policies, and reference documents. Traditional search helps when you know the exact word to look for. It is weaker when you need the meaning of a passage, a summary of an argument, or the source behind an answer.
The Archive.ai is designed to make a personal or team document library easier to question. It extracts text, indexes meaning, and gives users a faster path back to the original evidence.
Operating principles
Built around source trust.
Private documents deserve restraint
Uploaded documents are treated as user content. We collect and process what is needed to run the archive, enforce limits, and answer questions against each account's files.
Search should work like thinking
Most files are written for reading, not retrieval. The Archive.ai extracts text, chunks documents, creates embeddings, and makes the library easier to interrogate.
How it works
From upload to answer.
01
Upload
Add supported PDF, TXT, or DOCX files from the dashboard.
02
Index
The app extracts readable text, creates document chunks, and prepares semantic search.
03
Ask
Chat with your archive and use cited answers to move back into the source material.
04
Manage
Control documents, plan limits, and billing from the authenticated workspace.
Designed for practical knowledge work.
Not a generic chatbot. Not a public search engine. A workspace for asking your own material better questions.
Who uses it
Researchers organizing long PDFs and source notes.
Operators who need quick answers from internal reference material.
Founders and teams reviewing contracts, reports, policies, and support docs.
Students and professionals turning scattered files into a searchable library.
Who builds it
Built by a visible developer.
The Archive.ai is an open-source document intelligence product built by Saw Simon Linn, the developer behind CodeHeaven Studio. The product stays focused on practical workflows, inspectable source code, and direct contact.
thearchiveai.xyz
Build your archive.
Start with a few documents, ask your first question, and decide whether the workflow fits your research or team process.