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Available now · audio + videoMediaFind
Search words, faces, logos, songs, and scenes across your audio and video library—then jump to the exact moment.
01 / For people
Find what matters in the media you already own.
Search the moments, faces, places, and ideas buried in personal libraries—without turning those libraries into someone else’s data.
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Available now · RAW photo searchPhotoFind
Search RAW folders by description, person, or text in the image—without importing a catalog, uploading originals, or changing files.
02 / For professionals
AI for work where the source still matters.
Professional tools for evidence-heavy questions, grounded answers, and sensitive material—built to keep the chain from source to conclusion visible.
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In development · Mac litigatorsAdduce
A private case-evidence notebook for solo and small-firm litigators. Search depositions, recordings, scanned PDFs, photos, and message exports—with every answer cited to page, line, or timestamp.
Citation-anchoredCase-scopedOn-device
O
Concept validation · Mac lawyersObiter
On-device legal dictation, client-call notes, and matter-scoped search for solo and small-firm lawyers. Record, transcribe, draft, organize, and search without sending privileged material to a cloud AI.
DictationMatter notesOn-device
03 / Developers & businesses
Bring private media intelligence into products and agents.
Choose the surface that fits: license the signed Faring engine for your product, call the working SDK/API directly, or connect an AI agent through MCP.
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Design partners · product teamsEmbedded engine
Bundle one signed local service, call /api/v1 over loopback, and scope licensed capabilities with a Grant. No hosted media path and no usage metering.
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Available · Python + HTTPSDK & API
Index, search, ask, and retrieve transcripts through the same local engine used by MediaFind.
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Available · MCP clientsMCP
Give Claude, Cursor, or another MCP client local access to search, cited answers, transcripts, and library status.
from mediafind import Engine with Engine() as mf: mf.index("~/Movies") hits = mf.search( "where we discussed the launch", k=5 ) answer = mf.ask( "what did we decide?" ) # Local results include sources and exact timestamps.
One index · desktop app · Python SDK · HTTP API · MCP
The Faring standard
Intelligence without surrender.
01
Private by architecture
Products are designed to keep sensitive context close, with clear boundaries around what can leave your device or environment.
02
Grounded in source
Useful answers should show their work—linking back to the moment, document, or record that supports them.
03
Focused over generic
Each product is shaped around a real job and a clear audience, with the complexity hidden until you need it.
04
Built to interoperate
The same foundation can serve a person, a professional workflow, or another product through SDK and MCP.
Start with a product. Build on the platform.
Whether you are searching your own library, working through sensitive sources, or adding private intelligence to a product, there is a Faring path in.