01
Install LM Studio and choose a local model
Set up LM Studio on your Mac and choose the model that fits your workload.
WEBITA WIKI AI · FREE MAC BETA
Local AI for your documents. Private, verifiable, on your Mac.
Import PDFs, spreadsheets, text files and entire folders. Webita Wiki AI builds a private knowledge base you can query with AI, without sending your documents to public AI services.
For macOS 13 or later · Apple Silicon M1-M4 · Signed and notarized app · Free beta
Webita Wiki AI
Demo video coming soon
The space is already designed for the real demo video, without fake playback or broken links.
100% local processing
Files stay on your Mac
Answers linked to sources
No telemetry
Your documents already contain the answers. Webita Wiki AI helps you find them.
PDFs, spreadsheets, notes, folders and archives often scatter the context. Webita Wiki AI turns them into a private AI knowledge base for people who want faster retrieval without moving files off their Mac.
Webita Wiki AI
Question
“Dove trovo il passaggio sul processo interno e il file corretto?”
Answer
“La procedura è nel manuale operativo importato nella Wiki e la risposta va verificata sui riferimenti citati.”
Sources used: manuale-operativo.pdf · procedura-team.xlsx
How Webita Wiki AI works
LM Studio is required because it provides the local AI model. Webita Wiki AI sits on top of that stack with a transparent and verifiable workflow.
02
Create your Wiki
Organize separate Wikis by project, team, client or document collection.
03
Import documents or full folders
Add single files or full folders and let indexing build the knowledge base.
04
Ask questions and verify the sources
Query in natural language and check which documents support the answer.
Local AI for documents: what actually changes
Private and local
Documents, indexing, OCR and the AI model run on the user Mac for stronger operational control.
Verifiable answers
Answers still need review, but they can point back to the files and passages used.
Built for real archives
Folder import, progressive indexing, local OCR and chat history for each Wiki.
Compact architectural comparison
Where files stay
Webita Wiki AI
On the user Mac
Typical cloud workflow
On external infrastructure after upload
Knowledge base
Webita Wiki AI
Local and separated by Wiki
Typical cloud workflow
Centralized on the external service
Operational control
Webita Wiki AI
More direct and inspectable
Typical cloud workflow
Depends on the external platform
Supported formats
Webita Wiki AI supports PDFs, including scanned PDFs through OCR, plus text files, markdown and the main spreadsheet formats.
PDFTXTMarkdownCSVTSVXLSXLSXXLSMXLSBODS
Who it is for
Professional firms and consultants
To query contracts, reports, procedures and client documentation without manual file hunting.
Companies and teams with document archives
To turn manuals, internal knowledge and operational files into a private AI knowledge base.
Researchers, trainers and knowledge workers
To work across mixed materials, verify sources and keep multiple document sets separate.
Screenshots and core features
The interface stays bright, clear and readable: separate Wikis, visible import progress and saved chats for every archive.
Document and folder import
Local OCR
Visible indexing progress
Saved chats for each Wiki
Browsable sources
Multiple separate Wikis
LM Studio connection
Build your private Wiki on Mac
Download the free beta of Webita Wiki AI and start querying your documents with a local AI model.
Version
0.1.0-beta.1
Operating system
macOS 13 or later
Supported chips
Apple Silicon M1-M4
DMG size
About 6.8 MB
Signing and notarization
Developer ID Application: Giorgio Sanna · Apple notarized
AI requirement
LM Studio installed locally
Technical details and download verification
- Distributed as a signed and Apple-notarized DMG.
- Gatekeeper recognizes it as a Notarized Developer ID app.
- Apple ticket is stapled into the DMG.
- SHA-256: c47b8aaaf8f612d9272ecc9eb7cd3659a0dca3e1b5d495636e94582636a74d1f
Need a private AI solution built around your processes?
Webita designs AI tools, knowledge bases and custom automations for companies and professional teams.
FAQ
Does Webita Wiki AI send documents online?
No. The app is designed to work locally on the user Mac without sending documents to public AI services.
Do I need to install LM Studio?
Yes. LM Studio is required because it provides the local AI model used by Webita Wiki AI.
Which AI models can I use?
You can use models compatible with LM Studio and run them locally. The right choice depends on your Mac resources and workload.
Does it work on Intel Macs?
At the moment the available beta is for Apple Silicon Macs M1-M4.
Which file formats can I import?
PDF, TXT, Markdown, CSV, TSV, XLS, XLSX, XLSM, XLSB and ODS. Scanned PDFs can be read through local OCR.
Can it read scanned PDFs?
Yes, through local OCR when needed.
Can I import full folders?
Yes. The app supports full-folder import as well as single files.
Are conversations saved?
Yes. Webita Wiki AI keeps chat history for each Wiki so work can be resumed and answers compared later.
Is the app free?
Yes. Version 0.1.0-beta.1 is released as a free Mac beta.
Is a Windows version available?
At the moment the Mac version is available. A Windows version may be evaluated in the future, with no promised date.
Related resources
Webita AI services
Consulting, automation and custom AI tooling for companies and professionals.
AI Course
An introductory path to better understand models, workflows and practical applications.
SEO Analysis
A free tool that complements the work on content, sites and performance.
Contact
Talk to Webita if you need a private AI solution built around your processes.