Android - Reddit
1.41K subscribers
17 photos
2 videos
35.1K links
Stay up-to-date with everything Android!
Content directly fetched from the subreddit just for you.

Powered by : @r_channels
Download Telegram
like [School Time](https://blog.google/technology/families/family-link-updates-february-2025/), Google Play app purchase approvals, location alerts, and more.

# 🧘 Other quality-of-life improvements

And lastly, here are some smaller quality-of-life changes we’re introducing in this release:

* **Separate Wi-Fi and Mobile Data toggles:** With Android 17, we’ve split the “Internet” tile [into two separate tiles](https://www.reddit.com/media?url=https%3A%2F%2Fpreview.redd.it%2Fandroid-17-beta-3-a-new-multitasking-experience-redesigned-v0-ojyys7fc2grg1.png%3Fwidth%3D1080%26crop%3Dsmart%26auto%3Dwebp%26s%3D3ff753ef1ee49de6c26dee2ebca6951946ac4754), one for controlling Wi-Fi and another for controlling Mobile Data. Consistent with the Quick Settings behavior we introduced with Material 3 Expressive, both tiles have two different touch points. Tapping the icon toggles the respective radio, while tapping the label opens the full Internet Panel. This change reduces the number of taps needed to toggle Wi-Fi and Mobile Data while still retaining access to the full Internet Panel!
* **Scheduled clock change notifications**: We’ve added a new feature in Android 17 that sends you a notification when your clock performs a scheduled change, for example when daylight saving time ends. You can [enable this feature](https://www.reddit.com/media?url=https%3A%2F%2Fpreview.redd.it%2Fandroid-17-beta-3-a-new-multitasking-experience-redesigned-v0-1o08wbki2grg1.png%3Fwidth%3D1080%26crop%3Dsmart%26auto%3Dwebp%26s%3Dd6455b27d583b861de252c0e365b198505b1d109) under “Date & time” settings.
* **Restoring default keyboard visibility after rotation:** Beginning with Android 17, when the keyboard is on screen and you rotate the screen, the keyboard won’t be made visible unless the app explicitly requests it.

# 🪲 Bug fixes and security patches

Please refer to the [Android Security Bulletin](https://source.android.com/docs/security/bulletin/android-17) for details on the security vulnerabilities addressed with this platform release.

\----

There are plenty of other changes in Android 17, especially for developers! For example, Android 17 expands the capabilities of AppFunctions, introduces an EyeDropper API, makes the aspect ratio of images in the Photo Picker more customizable, and much more. To learn more about everything new for developers in this release, visit [developer.android.com](https://developer.android.com/about/versions/17/features).

Also, don’t forget that select advanced devices will be getting [Gemini Intelligence](https://www.reddit.com/r/Android/comments/1tb83gy/making_android_smarter_and_more_proactive_with/) features later this summer. In addition, we’re introducing [Android Halo](https://blog.google/products-and-platforms/platforms/android/android-halo/) in a future Android 17 release to give you at-a-glance visibility into what your agent is working on at any given time.  Lastly, be sure to check out our latest [Android Drop](https://www.reddit.com/r/Android/comments/1tuyxcv/june_android_drop_brings_new_safety_and/) to learn about what new features are coming to all Android devices, not just those running Android 17!

https://redd.it/1u7l1cw
@reddit_android
Daily Superthread (Jun 17 2026) - Your daily thread for questions, device recommendations and general discussions!

Note 1. You can search for previous daily threads.

Note 2. Join our IRC and Telegram chat-rooms! Please see our wiki for instructions.

Please post your questions here. Feel free to use this thread for general questions/discussion as well.

https://redd.it/1u8879s
@reddit_android
Paul Dunlop (Android Onboarding/Settings Product Lead) details Android Switch improvements in Android 17, including direct migration of signed-in Google accounts between iOS and Android, cross-platform app data migration APIs, seamless eSIM transfers, & more
https://www.threads.com/@pauldunlop/post/DZr4isfjanp

https://redd.it/1u8c7g4
@reddit_android
Building Computer Vision apps for Android in 2026: Has the bottleneck shifted from AI models to mobile engineering?

I've been reading case studies and following discussions around Android apps that use Computer Vision for OCR, object detection, image segmentation, quality inspection, and video analytics.

A few years ago, most conversations focused on model accuracy and training. But now it seems like the bigger challenges are:

Running models efficiently on-device with TensorFlow Lite or MediaPipe.
Balancing latency, battery usage, and model size.
Handling fragmented Android hardware and varying NPUs.
Building reliable pipelines for image/video processing in production.
Deciding when to use on-device inference vs cloud inference.

Interestingly, many successful products seem to rely as much on strong mobile engineering and UX as on the AI model itself.

I'm curious if other Android developers feel the same way.

For people who have built or worked on Computer Vision apps:

What has been the hardest problem for you?
Has model development become easier while deployment remains the real challenge?
Which frameworks or approaches have worked best in production?

Would love to hear real-world experiences and lessons learned.

https://redd.it/1u89w3l
@reddit_android
[DEV] I built an Android app that runs Whisper Base Q8 fully offline, handling long audio chunking on devices down to 2GB RAM. No data leaves your phone.

Hey everyone,

https://preview.redd.it/8614i1pfht7h1.jpg?width=1080&format=pjpg&auto=webp&s=cd314472f90beecc17b4cbe432af47ae6f4469e0

As an Android developer, I’ve always been frustrated by how speech-to-text apps rely heavily on cloud APIs, compromising privacy and requiring active internet connections. I wanted to build a solution that runs **100% locally on the device**.

However, running heavy models like OpenAI's Whisper and Silero VAD locally on budget Android hardware comes with massive memory bottlenecks and unexpected crashes.

To fix this, I built **Transcribe Offline**. Instead of defaulting to Whisper Tiny (which has terrible accuracy), I managed to optimize **Whisper Base Q8** to run smoothly even on **2GB RAM devices** using a few engineering workarounds:

* **Semantic Chunking via Silero VAD:** Instead of blindly cutting audio into fixed time slots (which cuts through words and ruins the context), the app uses local Silero VAD to detect natural human speech boundaries. I added a **negative 200ms offset** to ensure the start of sentences is never chopped off.
* **Flat Memory Footprint:** Audio chunks are processed sequentially and instantly cleared from memory, meaning the app handles a 2-hour recording with the same flat memory usage as a 2-minute clip. No Out-Of-Memory (OOM) crashes.
* **Native C++ Performance:** Core engines are compiled via Android NDK/JNI to leverage hardware acceleration and keep the main UI thread completely fluid.

The app is completely private, requires zero permissions other than reading your local files, and outputs clean text or standard `.srt` subtitles with precise timestamps.

If you are interested in the engineering details, I wrote a quick deep dive on Medium about how I overcame the memory and text-cutting limitations: 🔗[Read the Engineering Deep Dive on Medium](https://medium.com/@creazyheart92/how-i-optimized-on-device-ai-audio-transcription-for-low-end-android-devices-down-to-2gb-ram-49f1a3847337)

The app is live on the Play Store, and I would absolutely love your honest feedback, feature requests, or any questions about the on-device pipeline!

👉[**Get Transcribe Offline on Google Play**](https://play.google.com/store/apps/details?id=egyption.developer.transcribe)

https://redd.it/1u861fk
@reddit_android
I trained a neural network on my Android phone using Pydroid 3 — S-tier, 92% win rate, no servers

I wanted to see if my Android phone could train a real neural network. No cloud, no GPU, no TensorFlow — just Pydroid 3 and pure Python.

**The result:** A Q-learning neural network that reached S-tier in a fighting game and beat scientific algorithms.

**What it does:**

\- ⚔️ Fighting game: 81.2% win rate against 9 different bots (including Minimax)

\- ✊ Rock-Paper-Scissors: 92% against Exp3 and UCB1 (algorithms from research papers)

\- 🎭 Mafia (social game): 40% win rate (2x better than random)

**How it works:**

\- Pure Python lists and loops — no NumPy

\- Manual backpropagation (\~200 lines)

\- Replay Buffer (500 examples)

\- \~75 parameters, model size < 5 KB (JSON)

\- 10,000+ training battles on a phone

**Performance on Android:**

\- 500 fights: \~10 seconds

\- 5,000 RPS rounds: \~30 seconds

\- All trained locally in Pydroid 3

**Why this matters:**

You don't need a gaming PC or cloud GPU to experiment with neural networks. An Android phone is enough to train a working AI that beats algorithms from scientific papers.

Happy to answer questions about training on mobile!

GitHub in comments.

https://redd.it/1u8stc9
@reddit_android
Daily Superthread (Jun 18 2026) - Your daily thread for questions, device recommendations and general discussions!

Note 1. You can search for previous daily threads.

Note 2. Join our IRC and Telegram chat-rooms! Please see our wiki for instructions.

Please post your questions here. Feel free to use this thread for general questions/discussion as well.

https://redd.it/1u94brj
@reddit_android
Any games that use the actual physical boundaries of an Android tablet?

I'm looking for some games meant to be played on a tablet that use the actual physical boundaries of the tablet....like for example, say an air hockey game where if the puck hits the edge of the tablet that it reacts to having hit the edge of the tablet....Anything like this? Thanks guys!

https://redd.it/1u90cxt
@reddit_android
Android XR’s second device already looks interesting

Saw Project Aura and, weirdly, Android XR got a lot more interesting to me.
Not because I trust Google. I’ve been using Android since the Nexus days. I know the drill.
Glass died. Daydream died. Half of Google’s “future” platforms die. And now Android itself is getting more annoying with sideloading restrictions and AI bloat.
So yeah, I’m not exactly all-in on Google here.
But I do want Android XR to work.
Mostly because the alternative is Meta owning XR, and 🙄 that.
I never believed the whole “Horizon OS is opening up” thing. Meta’s version of “open” always feels like: open, as long as they still control the store, accounts, rules, and money.
That’s not Android. That’s just a cheaper walled garden.
Aura caught my eye because it’s not another Quest clone. It’s glasses + puck. Different shape, different use case, different assumptions.
That alone makes Android XR feel more interesting than Horizon OS to me.
Google can still screw this up. They probably will, in some very Google way.
But I’d still rather gamble on messy Android XR than let Meta own the whole category.
I don’t need Google to be perfect.
I just need them to be less Meta.

https://redd.it/1u8ylyv
@reddit_android