Magika vs pdf.net: Professional All‑In‑One Online PDF Editor.
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Detailed Comparison
It leverages the power of cutting-edge deep learning to enhance the world of file type detection. It provides increased accuracy and support for a comprehensive range of content types, outperforming traditional tools with 99%+ average precision and recall. | PDF.net is a web-based, all-in-one PDF editing and document processing platform that enables developers and teams to programmatically create, edit, sign, annotate, convert, merge, split, compress, and secure PDF files via a clean SaaS UI and API-ready workflow. It supports common input formats (PDF, DOCX, JPG, PNG) and focuses on efficient, privacy-first processing with automatic file cleanup and HTTPS encryption. |
Available as a Python command line, a Python API, and an experimental TFJS version;
Trained on a dataset of over 25M files across more than 100 content types;
Achieves 99%+ average precision and recall, outperforming existing approaches;
After the model is loaded (this is a one-off overhead), the inference time is about 5ms per file | Create and edit PDF files, convert PDFs to and from common formats (DOCX, JPG, PNG), merge and split PDF documents, compress PDF files to reduce size, add annotations and comments, apply electronic signatures, secure PDFs with passwords and permissions, cloud-based processing with automatic file cleanup, browser-based access with no local installation required. |
Statistics | |
GitHub Stars 8.9K | GitHub Stars - |
GitHub Forks 454 | GitHub Forks - |
Stacks 0 | Stacks 0 |
Followers 2 | Followers 1 |
Votes 0 | Votes 1 |
Integrations | |
| No integrations available | |
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