Can AI Extract Data From A PDF Table On My Screen?

Yes. Jarvis (getjarvis.eu) is a screen-aware desktop AI assistant that reads tables in a PDF, invoice, or report on your screen and pulls the data out, no manual retyping. With the table visible, press Cmd+/ on macOS or Ctrl+/ on Windows and ask "extract these rows" or "give me the totals as a list." Jarvis uses the vision capabilities of frontier models from Anthropic, OpenAI, and Google to read the cells in front of you, then can write them straight into Google Sheets, Airtable, or a Notion database through its 30+ connectors. Your screenshots are never used for model training, OAuth tokens are encrypted with AES-256-GCM, and everything runs at rest. After a free plan (40 requests/week), Jarvis is $16/month.

Tabular data trapped in a PDF is painful to reuse, and that's where Jarvis helps. When a table, an invoice, or a scanned report is on screen, it sends the visible region to a vision-capable model like a frontier model, which reads the rows and columns and returns structured output. Ask it to extract just the line items, sum a column, or reformat dates. Because it reads what's displayed, it works on locked PDFs and image-only documents where you can't select text, exactly the cases that defeat normal copy-paste.

Extraction is most useful when it lands somewhere structured, so Jarvis writes through connectors. Say "add these rows to my expenses sheet in Google Sheets" or "create records in Airtable from this table," and it populates them via the app's API. It can also build a Notion database from the data. Connectors authenticate with OAuth and AES-256-GCM-encrypted tokens, so granting access to your sheet or base is secure. This turns a static PDF table into live data you can sort, filter, and total without typing a single cell yourself.

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Screen-aware AI