Best PDF Annotators for Python
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Compare the Top PDF Annotators that integrate with Python as of July 2025
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This a list of PDF Annotators that integrate with Python. Use the filters on the left to add additional filters for products that have integrations with Python. View the products that work with Python in the table below.
What are PDF Annotators for Python?
PDF annotation tools are pieces of software designed to allow users to add notes and highlight text on PDF documents. They can be used by students or professionals to mark up documents, make comments, and organize information in an intuitive way. Annotations may also include drawing shapes or adding images. The annotations can then be saved with the document for easy sharing and future reference. Compare and read user reviews of the best PDF Annotators for Python currently available using the table below. This list is updated regularly.
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PDFKit
PDFKit
PDFKit is a PDF document generation library for Node and the browser that makes creating complex, multi-page, printable documents easy. The API embraces chainability, and includes both low-level functions as well as abstractions for higher-level functionality. The PDFKit API is designed to be simple, so generating complex documents is often as simple as a few function calls. Access privileges (printing, copying, modifying, annotating, form filling, content accessibility, document assembly). Accessibility support (marked content, logical structure, Tagged PDF, PDF/UA). Supports JPEG and PNG files (including indexed PNGs, and PNGs with transparency). In addition to PDFKit, you'll need somewhere to stream the output to. Note that in order to Browserify a project using PDFKit, you need to install the brfs module with npm, which is used to load built-in font data into the package.
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