"Sorry, I can only analyze images and PDFs."
You want AI help with your Excel spreadsheet. "Please upload as PDF first." You need feedback on your code file. "Copy and paste the code into text." You have questions about an audio recording. "Not supported."
Every AI tool has the same limitations. They accept a few specific file types and reject everything else. Your actual work files? Probably not compatible.
You end up copying content, converting formats, screenshotting documents, or typing out information that already exists in your files.
Why should you adapt your files to AI tools instead of AI tools adapting to your files?
The problem with file type restrictions
Most AI assistants work like picky eaters. They'll take your JPEG images and maybe your PDF documents, but everything else gets rejected.
You have a research document in Word format. AI says "paste the text." You lose all formatting, images, and structure in the process.
You need help with a Python script. AI says "copy the code." You paste 200 lines into a text box and lose all syntax highlighting and file context.
You want analysis of your business spreadsheet. AI says "export as CSV first." You lose formulas, formatting, and multiple sheets.
Your files contain more than just text. Converting them to "AI-acceptable" formats removes the context AI needs to actually help.
Aquin: upload anything
Here's how file upload works in Aquin. No restrictions, no conversions.
Drag any file from your computer into the floating input box. Or click the file button and select whatever you need help with.
PDF documents, Excel spreadsheets, Word files, PowerPoint presentations, code files, images, GIFs, audio recordings, markdown files, text documents, even entire folders and zip archives.
Upload your actual work files and ask questions about them. AI sees the real content, formatting, structure, and context.
No copying. No converting. No losing information in translation.
Every file type has its purpose
PDFs: Get summaries of research papers, extract key information from reports, understand complex documents without reading everything.
Spreadsheets: Ask about formulas, get data analysis, understand patterns in your numbers, fix calculation errors.
Word documents: Review writing, check formatting, get feedback on structure, analyze content organization.
Code files: Debug errors, understand complex functions, get optimization suggestions, learn how algorithms work.
Images: Analyze designs, get feedback on layouts, understand visual content, extract text from screenshots.
Audio files: Get transcriptions, analyze spoken content, understand meeting recordings, extract key points from interviews.
Folders and zips: Analyze entire projects, understand file structures, get overviews of complex codebases, review multiple documents at once.
Real files, real help
You're reviewing a research paper PDF. Instead of reading 30 pages, upload it and ask "What are the main findings and methodology?"
You're stuck on a spreadsheet formula. Upload your Excel file and ask "Why isn't this calculation working correctly?"
You're debugging code and need context. Upload your entire project folder and ask "Where is this bug likely coming from?"
AI sees your actual files with all their context, formatting, and structure intact.
No file conversion headaches
Upload your PowerPoint presentation and ask about slide design. AI sees the actual layouts, colors, and content arrangement.
Upload your code repository as a zip file and get project architecture explanations. AI understands the file relationships and folder structure.
Upload your meeting audio and get key points extracted. AI processes the actual conversation, not a rough transcript you typed up.
Your files stay in their original format. AI adapts to them, not the other way around.
Work with your files, not against them
File upload in Aquin follows one simple rule: if it's on your computer, you can upload it and ask about it.
No rejected file types. No format conversion requirements. No losing context in translation.
Just drag, drop, and ask questions about your actual work.