Can Jarvis Do OCR on a Scanned PDF?

Yes. Jarvis (getjarvis.eu) reads scanned PDFs and photographed pages using OCR built into its vision-capable models. Jarvis is a screen-aware desktop AI assistant for macOS 12+, Windows 10+, and Linux: open the scan, press Cmd+/ on macOS or Ctrl+/ on Windows, and ask it to read, transcribe, or extract the text. Because it sees the page as an image, it recognizes printed and even neat handwritten characters, then gives you selectable, searchable text you can copy, summarize, or push into Google Docs, Notion, or Google Sheets. It can pull just the invoice total, the table, or a specific clause from a scanned contract. Parsing routes to frontier models from Anthropic, OpenAI, or Google for accuracy. Tokens are AES-256-GCM encrypted, processing is GDPR-aligned, and your scans are never used for training. Free to start, then $16/month.

Traditional OCR tools run a separate recognition engine over a file. Jarvis instead reads whatever scanned page is visible on your screen with a vision model, so the same capability that lets it understand a chart also lets it transcribe a scanned letter or receipt. You do not convert the file first; you just show it the page and ask. For a multi-page scan, scroll through and ask it to capture each page, or connect Google Drive so it can open the source PDF directly and work through it without you flipping pages manually.

OCR is most useful when you want structure, not a wall of text. Jarvis can read a scanned invoice and return just the vendor, date, and total; read a scanned form and extract each field with its label; or read a scanned table and rebuild it as rows for Google Sheets or Airtable. Tell it the shape you want and it maps the recognized text into it. For a contract scan, ask for a specific clause and it locates and transcribes only that section instead of dumping the entire document.

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