Find exact answers
Ask a direct question and jump back to the supporting passage, page, timestamp, or file.
Built for the questions that matter
What can you do with it?
Understand complex material
Turn dense reports, manuals, transcripts, and research into a grounded explanation.
Compare multiple sources
Build one evidence-backed answer across an entire private library instead of one file at a time.
Work beyond PDFs
Search Office files, code, images, audio, and video alongside ordinary documents.
Verify the result
Inspect citations, route receipts, and confidence cues—or get an abstention when evidence is weak.
Private by architecture. Verifiable by design.
A document intelligence workspace that shows its evidence and keeps the retrieval pipeline under your control.
OpenIntelligence ingests PDFs, Office files, code, images, audio, and video into private libraries, then plans, retrieves, reranks, verifies, and cites the evidence used for each answer. Ingestion, indexing, retrieval, and verification stay on-device. On supported systems, final synthesis may use Apple Private Cloud Compute only after the exact evidence payload is shown and approved.
What Makes OpenIntelligence Different
Local-first by architecture
Parsing, indexing, retrieval, reranking, and evidence verification happen on-device. The app remains useful offline through its on-device answer path.
More than PDFs
PDFKit, Vision OCR, structured parsers, and media extraction paths handle digital documents, scanned pages, code, images, audio, and video.
Retrieval that can explain itself
SQLite FTS5, local vector indexing, query analysis, reranking, routing, and context packing are orchestrated as a real agentic retrieval loop instead of a single-vector-only search path.
Answers you can inspect
The app is built to show evidence, drop unsupported claims, and refuse when the documents do not support a confident answer.
Private library boundaries
Private libraries, retrieval controls, and diagnostics make it possible to scope work and inspect how the answer path behaved.
Execution policy control
Every answer identifies its route. Optional Private Cloud Compute use is limited to final synthesis after disclosure and consent, while retrieval and verification remain local.
Technical Profile
Core APIs
- Platforms: iPhone, iPad, and Mac
- Parsing: PDFKit, Vision OCR, structured document processing
- Answer paths: on-device synthesis or optional Apple Private Cloud Compute on supported systems
- Retrieval: agentic RAG with SQLite FTS5, local vector indexing, reranking, and evidence packing
Data boundary
- Always local: Libraries, normalized text, indexes, retrieval, reranking, verification, and citations
- Optional: Final synthesis through Apple Private Cloud Compute after payload disclosure and user approval
- Not the product: generic chatbot behavior over arbitrary cloud context
- Receipt: Every answer surfaces the route used
How OpenIntelligence Runs
1
Import into private libraries
Files are assigned to local libraries and normalized through text extraction or OCR, depending on document quality.
2
Build lexical and vector indexes
The app preserves structure where possible, then stores lexical signals and vector representations for hybrid retrieval.
3
Plan, retrieve, and verify evidence
Query planning, reranking, routing, and evidence packing are used to keep the answer path tied to source material rather than generic model guesswork.
4
Use Apple Intelligence to answer or abstain
The app answers through the selected execution route, attaches citations and confidence cues, or abstains when the evidence is not strong enough.
Go Deeper
Interactive technical showcase
See the full retrieval trace, execution routes, supported file types, changelog, and product FAQ at fascinaiting.me.
Support URL
Privacy Policy URL
Your files. Your evidence. Your choice of route.