Best Open-Source Tools to Remove Sora2 Watermarks (2026) Open Source · AI Video

Best Open-Source Tools to Remove Sora2 Watermarks (March 2026)

22B Labs March 2026 Tools Review

OpenAI's Sora2 embeds a persistent watermark on all generated video clips. If you need clean footage for research, editing, or archival purposes, here are the best open-source tools available on GitHub right now — ranked by stars, activity, and overall quality.

Top Picks

SoraWatermarkCleaner

★1.1k stars

⚡ Top Pick

The fastest and highest-quality option available. Uses YOLOv11 for precise watermark detection, then applies LAMA or E2FGVI_HQ inpainting to reconstruct the background seamlessly. Deep learning all the way down.

Windows one-click portable build — no installation required
GPU acceleration for blazing-fast batch processing
Multiple interfaces: Docker, CLI, and Streamlit Web UI
Google Colab support for cloud-based usage

YOLOv11 LAMA Inpainting E2FGVI_HQ Windows Portable Docker GPU

→ github.com/linkedlist771/SoraWatermarkCleaner

Note: As OpenAI has discontinued the Sora model, this project is now archived. All code and releases remain fully downloadable — functionality is unaffected.

Sora2WatermarkRemover

★115 stars

🧪 Easiest Colab

The lowest-friction way to try watermark removal — open the Colab notebook, upload your clip, run all cells. Built on LaMA inpainting with both GUI and CLI interfaces included.

One Colab notebook — zero local setup needed
GUI + CLI versions included
Windows and Linux install scripts available
Best for quick testing before committing to a local install

LaMA Google Colab GUI CLI

→ github.com/GitHub30/Sora2WatermarkRemover

sweeta

★116 stars

🖥️ Best GUI

Combines LaMA inpainting with an intelligent detection algorithm and wraps it in a clean GUI. Setup is a single Windows batch file — run it and you're done. Explicitly positioned for research and educational use, though widely used for personal video work as well.

GUI + CLI both supported
Single Windows .bat setup script
Intelligent watermark detection algorithm
Fully open-source and forkable

LaMA Smart Detection Windows .bat GUI

→ github.com/Kuberwastaken/sweeta

Other Options

shijincai/sora2-watermark-remover offers a Next.js web app front-end (requires a ComfyUI backend — better suited for self-hosted web services than local desktop use). Several other repos exist (uedk9p, shivas1432, etc.) but the three above remain the most complete and actively maintained.

Quick Decision Guide

Want portable / best quality?

linkedlist771 / SoraWatermarkCleaner

Want to test in the browser first?

GitHub30 / Sora2WatermarkRemover

Prefer a clean GUI install?

Kuberwastaken / sweeta

Final Notes

All three tools are MIT-licensed open-source projects — you can fork and customise freely. The underlying inpainting models (LAMA, E2FGVI_HQ) are well-established in the research community, so output quality is solid across all three options. If you have an Nvidia GPU, SoraWatermarkCleaner will be noticeably faster than the others.

The Sora model has been officially discontinued by OpenAI, so these projects are unlikely to see new feature development — but as watermark removal utilities they remain fully functional for existing Sora2-generated content.