RAIW checks and removes supported AI provenance signals from images. Quick clean removes supported visible generator marks and strips C2PA, EXIF, XMP, IPTC, and other recognized AI metadata. All-in-one uses GPU pixel regeneration to target supported invisible watermarks such as SynthID. The free checker reports the signals it finds. No account is required. Supports PNG, JPG, WebP, AVIF, and HEIC files up to 120 MB.
I know you as a great professional so really excited about this release. Thank you for helping us create more beauty in this world with Ai
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Maker
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Hi Product Hunt! A few months ago I open sourced remove-ai-watermarks, a Python CLI that strips AI watermarks from images. People kept asking for a version that does not require a terminal. So I wrapped it in a web app.
🔍 Upload an image and RAIW first shows what it finds: C2PA Content Credentials, SynthID, "Made with AI" labels, generator metadata, the Gemini sparkle, China AIGC marks.
🧹 Removing visible marks and metadata is free.
⚡ The hard part, invisible SynthID class watermarks, runs on a GPU pipeline for $1.49 per image, packs from $1 per image.
No signup, no subscription. Uploads are deleted within 30 days. The detection engine is open source: github.com/wiltodelta/remove-ai-watermarks
Happy to answer anything about how detection and removal work. What would you like it to handle next?
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@wiltodelta congrats on the launch! How do you stay ahead as the watermarking methods change? SynthID and C2PA both get updated, and platforms keep adding new marks. When a generator ships a new watermark, how long does it usually take before RAIW can detect and remove it?
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@vkotlov Thanks Vladimir, good question. Visible marks and metadata are pattern based, so when a new label or generator mark shows up, adding detection and a clean strip is usually fast. The invisible SynthID class is the slow part: removal is best effort regeneration, never guaranteed, and I re-verify each new SynthID revision against a real oracle before shipping, so the newest revision may not be fully removed until that re-tune lands. The detection engine is fully open source, so this work happens in the open and you can see exactly what it catches. Happy to go deeper if useful.
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Congrats on launch @wiltodelta ! It is useful, fast and easy to use utility for day to day activity for marketers and graphics designers. Do you plan to add background removal? That would be also very handy as this task goes hand by hand with watermark removals
@wiltodelta congrats on the launch! How do you stay ahead as the watermarking methods change? SynthID and C2PA both get updated, and platforms keep adding new marks. When a generator ships a new watermark, how long does it usually take before RAIW can detect and remove it?
@vkotlov Thanks Vladimir, good question. Visible marks and metadata are pattern based, so when a new label or generator mark shows up, adding detection and a clean strip is usually fast. The invisible SynthID class is the slow part: removal is best effort regeneration, never guaranteed, and I re-verify each new SynthID revision against a real oracle before shipping, so the newest revision may not be fully removed until that re-tune lands. The detection engine is fully open source, so this work happens in the open and you can see exactly what it catches. Happy to go deeper if useful.
Congrats on launch @wiltodelta !
It is useful, fast and easy to use utility for day to day activity for marketers and graphics designers. Do you plan to add background removal? That would be also very handy as this task goes hand by hand with watermark removals