PDF Editor for Professors
About us
English
PDF Editor for Professors
Efficient Online PDF Editing for Professors
or drag and drop a file
Supports PDF and image file formats (maximum 100MB)
By using the product, you agree to our Terms of Service and have read our Privacy Policy.
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248M
Registered Users
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Notes Created
2M
Notes Created Daily
Frequently Asked Questions
This PDF editor allows professors to annotate and review academic documents online by adding notes, highlights, and drawings directly in the browser.
Professors can upload their academic PDFs and use annotation tools such as pen, text, highlighting, and shapes to review documents and provide feedback.
No, the tool doesn't support editing existing text. It's meant for annotating documents, not altering original text.
Professors can use the basic annotation functions for free. To download and save in Evernote, they need to log in.
Yes, professors can download their annotated PDFs with embedded notes once logged in.
Use the highlight tool to emphasize important sections. Simply select the text you want to mark and choose a color from the palette.
No, the tool is currently designed for desktop use only. Professors need to access it via a desktop browser like Chrome or Firefox.
The tool supports PDF files and image formats like JPG, JPEG, PNG, and WEBP up to 100 MB per file.
Yes, professors can annotate across all pages of a multi-page PDF and seamlessly scroll between pages to continue working.
Absolutely, the PDF editor runs entirely in a web browser, so no installation or plugins are needed.
No, the tool processes one file at a time. Batch processing would require additional software.
Select the text annotation tool, click where you want to add your note or comment, type the text, and adjust the properties as needed.
Yes, after logging in, professors can download PDFs with all embedded annotations for easy sharing and review.
Professors can mark student work by highlighting errors, adding comments, and drawing arrows or shapes for clarity.
No, the tool doesn't include optical character recognition. It focuses on annotation, not extracting text from images.