- Brand
- MegaScenes
- Category
- Content & Design
- Primary Subcategory
- Pending
Integration details
Description
Pick a black and white photo from your MegaScenes library, a scan or a photo of the print, and add any colors you know: her dress was light blue, the car was red, the leaves were autumn gold. You get the same photo in natural color, with the same composition, people, faces and background. ChatGPT lists your recent photos, tells you what the colorized photo needs and makes it in your MegaScenes account when you ask. The photo opens in the chat and stays in your library next to the original. For family albums, old portraits of your grandparents, wedding photos from decades ago and pictures of the places you come from. Limitations: the colors are a plausible interpretation, not the real ones of the day. Only your own or your family's photos that you have the right to edit, never a famous person. One photo per run, already in your MegaScenes library; attachments from the chat are not passed to the plugin. Making a file needs a signed-in MegaScenes account and runs in it; nothing is made until you confirm. Not for sexual or adult content. Files are made by generative models and saved in your MegaScenes library.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Primary Subcategory
- Pending
- Secondary Subcategories
- None listed
- Brand
- MegaScenes
- Access
- Account optional
- First tracked
- 2026-11-13
- Tool count
- 6
- Market
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
Not discoverable in ChatGPT yet
ChatGPT now suggests Plugins on its own when they match a user's request, but not every Plugin is being surfaced yet.We haven’t seen Colorize Photos suggested yet. Sign up and we’ll track it, and your Discoverability Score will appear here once ChatGPT starts surfacing it.
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Competitive lineup
6 tools agents can invoke
Colorize Photos ChatGPT Plugin FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve Colorize Photos's ChatGPT Plugin discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.


