Key Takeaways

• Google Photos is developing a new adaptive filter feature called "Moods" that automatically transforms images to match specific aesthetics, like "2000's cinema" or "Crisp 35mm".
• The code reveals eight distinct "Moods," alongside a new "Video remix" button that replaces the previous interface, signaling a major push toward one-tap AI editing.
• These new tools further pivot Google Photos away from a simple image library and into an automated creative studio designed to match viral social media trends.

June 24 Update below: Added further details from the code and removed an erroneous reference to Fujifilm and Kodak filters. This article was originally published on June 23.

Google Photos is testing yet more adaptive filters for both photos and video. It’s a move that jumps on emergent social media trends, pushing the app another step further away from its photo library roots and pivoting towards a generative AI creation hub.

The latest addition is a new “Moods” feature, recently discovered under test within the app code by the team at Android Authority. It presents a selection of carefully curated adaptive photo filters that use advanced machine learning to understand the content of your photos rather than simply layering basic photographic edits on top. Unlike Instagram’s flashy Restyle effects with their obvious AI-first presentation, Moods pushes in the opposite direction, targeting a more authentic-looking retro vibe.

This push toward automated editing isn't limited to static images; sitting right next to Moods in the report is the new Video remix button, previously codenamed “Soba,” that I called out in a previous article.

Google Photos Update: Eight 'Moods' Uncovered

Google’s promotional text, found within the app’s code, includes:

• “Keep the feeling, refine the look. Try Moods.”
• “Unlike regular filters, Moods adapts to your photo’s lighting and colors. It makes subtle shifts for an elevated look that’s still authentically yours.”
• “Edits that adapt to your photo”
• “Select a photo to match the mood you want”

Eight different “Moods” are prepared for launch, along with brief descriptions below:

• Airy Minimalist: Polished lighting for a clean look
• Crisp 35mm: Classic analog look with balanced contrast
• 2000’s cinema: Subtle shifts for movie-like colors
• Rich textures: Deepens contrast for tactile details
• Pink digicam: Colorful nostalgia with a subtle pink boost
• Retro contrast: Deep shadows, bold tint
• Night lights: Soft, dreamy evening aesthetic
• 2000’s night: Deep nightlife colors with digital noise

Code for all eight of these Moods has been lurking in the app code for some time now, but 19 others remain that have yet to see the light of day, suggesting that Moods could expand in scope very quickly if it proves successful.

A big clue as to Google’s intentions for the feature comes in the form of the Moods icon itself, a roll of 35mm film with the end of the film exposed as though ready to be inserted into a film camera. Also in the app’s Create tab, sitting directly above the Moods button is a new “Video remix” button, now given its official name and replacing the previous YouTube-like icon with a new circular play button featuring a tell-tale sparkle, indicating its use of Gemini generative AI. Both features are flagged as “New” in the interface, suggesting their imminent launch.

Although descriptive text and images are already present in the code, the Moods feature itself isn’t currently working. Attempting to run it results in the generic error message “Can't load this photo for editing,” which could imply missing code or that Google hasn’t yet enabled its cloud servers to process Moods.

Potential Generation Limits and Location Blocks

Many of Google Photos’ basic tools are entirely free to use without limits. However, those powered by generative AI are increasingly subject to restrictive quotas.

Other AI tools in the Google Photos Create tab, including Remix and Photo-to-Video, already include daily generation limits and will prompt the user to upgrade to a paid Google AI plan when they run out.

Whether Moods will follow the same quota-based model is not confirmed in the code. However, purely photo-based edits typically use far fewer resources than generating videos so demands placed on Google’s servers should be considerably lower when using Moods. That could matter a great deal if users start applying Moods to every photo before sharing on social media.

Furthermore, several of Google Photos’ generative AI features remain restricted based on the user’s location. For example, “Remix” (soon to be renamed “Photo remix”) is available in the U.S., but not currently accessible from the U.K. There’s a chance Google will also restrict Moods in a similar manner, at least on its initial rollout.

Note that, in its current state, Moods carries no overt AI-branding. The icon features no Gemini sparkle, and it’s just “Moods,” not “Magic Moods,” or “Nano Banana Moods.” The focus here is purely on delivering pleasing results, rather than a chance to play around with faddy AI toys.

It’s somewhat ironic to find Google deploying its most advanced AI tech to re-capture the aesthetics of authentic analog or retro digital cameras. While users yearn for a more authentic, organic look, their images move even farther from what is real. However, by cleverly matching these Moods to contemporary social media trends, Google will attract more users towards Google Photos by letting them achieve these viral aesthetics in a single tap, right from their photo library and away from social media apps, possibly without even realizing they’re using AI.