Detect Image Fonts in a PDF
Inspect typography from flattened PDF pages, scanned contracts, or digital vector layouts easily.
Drop your PDF page image here, or browse files
Or paste directly with Ctrl+V
Scanning page segments...
Querying baseline typography specifications.
Closest PDF Font Matches
Getting an accurate result
Extract at High Resolution
When converting a PDF page to an image, ensure you export or take a screenshot at 150 DPI or higher to keep letter lines crisp.
Crop Tightly to One Line
PDF pages often contain headers, columns, and page numbers. Use our crop interface to scan exactly one uniform line of text.
Align Slanted Pages
If the PDF was scanned at a slight slant, use a photo editor to rotate and straighten the page before uploading.
Avoid Overlapping Elements
Handwritten annotations, stamps, or watermarks over characters will skew metrics. Isolate clean, un-marked letters.
Frequently Asked Questions
Vector PDFs store characters as font instructions and coordinates, which are easy to select and inspect. Scanned PDFs are simply flat image files wrapped in a PDF container, meaning the characters are flat pixels and require visual canvas OCR tools like Online Font Finder.
No, scanned or flattened PDFs do not contain selectable text structures. To copy text or identify the font, you must capture a screenshot of the target PDF page region and upload it to our visual scanner.
You can open the PDF in your web browser or Adobe Reader, zoom in to the desired text line, and take a screenshot using your OS tools (Win+Shift+S or Cmd+Shift+4). You can then paste (Ctrl+V) the screenshot directly into our tool.
Yes. When you load your PDF screenshot, our canvas layout segmenter highlights lines of text. You can click on a specific column box to isolate that text line and scan its font separately.
Yes. Scanned handwritten text can be uploaded. However, handwriting represents organic, inconsistent strokes, so the matcher will locate the closest matching Handwriting/Script font from our library rather than a standard geometric text face.
Low-quality page scans, pixel blurring, background document texture, and overlapping stamps/annotations can skew visual matching metrics. Ensure you crop a clean, stamp-free portion of the page.