Documents
Chat with company documents, then get finished work back
To chat with company documents, you give an AI assistant your files and ask it questions in plain language. SyncMind does this inside your team's chats, and it does not stop at an answer: it can hand back a new Word document, Excel sheet, slide deck or chart.
That matters when the question is not just "what does this contract say?" but "turn these numbers into something I can send."
What you can ask your documents
A request in SyncMind looks like a message to a colleague. These are the kind of things a team asks:
- Data: "Chart last quarter's sales by region," with the sales file attached.
- Finance: "Compare spend against budget for each team."
- Leadership: "Make a five-slide deck from these notes for the board."
Each one comes back as a file anyone on the team can open, not a block of text to copy out.
Which files it reads
| You give it | What it handles |
|---|---|
| PDF and Word | Text, tables and page layouts |
| Excel and CSV | The numbers themselves, worked through with Python |
| PowerPoint | Slide content |
| Images and scanned pages | Text and tables read from the picture |
Spreadsheets are where many document chat tools struggle. They are usually built to find a passage of text, and one published guide to building this on Azure advises against tabular data altogether. SyncMind writes and runs code on the numbers instead of searching for a sentence about them.
From a question to a finished file
- You ask in a chat and attach the files it needs.
- It reads them and, on the API edition, checks what your team already knows.
- It writes and runs code in a sandbox folder holding only the files it was given. The code cannot open network connections.
- You get the result as a file. If a step fails, such as a date format error, it can fix the problem and run the code again.
The Agent Log shows each step as it happens, so you can see how a result was reached before you rely on it.
Built for a team, not one person
In SyncMind, teams share a chat: ask once, and the whole team sees the question, the work and the file. Everyone also has personal chats for work that is theirs alone, and an administrator account and invite codes control who gets in.
On the API edition, good answers are saved as team knowledge and found again later. This way of working is often called multiplayer AI, and what the team builds up is its shared context for AI teams.
Where your documents go
This is the question to ask any vendor, so here is the plain answer for both SyncMind editions. For the wider picture, read about private AI for business.
| On-premise edition | API edition | |
|---|---|---|
| What leaves your network | Nothing | Your questions and the document text needed to answer them, to the model provider; web searches |
| Where the AI runs | On your own computers | Hosted models |
| Works with no internet | Yes | No |
| Hardware | Uses each computer's own power | Any laptop, no GPU |
If your documents must stay in your building, read about our on-premise AI assistant. To compare plans, see the pricing page.
Questions
Which files can SyncMind read?
PDF, Word, Excel, PowerPoint and CSV files, plus images and scanned pages, including tables and layouts.
Can it work with spreadsheets?
Yes. It writes and runs Python to work through the numbers, and can hand back an Excel sheet or a chart.
Do my documents leave the company?
With the on-premise edition, no: the models and the database run on your own computers. With the API edition, your questions and the document text needed to answer them go to the model provider.
Can my whole team use the same chat?
Yes. Teams share team chats, and each person also has personal chats.
Do I need special hardware?
Not for the API edition, which runs on any laptop. The on-premise edition measures each computer and downloads the models it can run.
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