IRIS Flow App Brings 30-Second AI Long Exposure to iPhones, Now Free With ₹299 Upgrade
Image Credit: Christian | Splash
An independent iOS developer from India has launched a new artificial intelligence–enhanced photography app that enables iPhone users to capture smooth long-exposure effects without a tripod or specialised filters. IRIS Flow, created by Jiten Siddhpura, became available on the Apple App Store in early October 2025, offering a simple way to produce motion blur, ghost effects and silky water trails directly from a handheld smartphone.
The app is free to download, with a Lifetime Premium unlock offered via in-app purchase (₹299 in India, approximately US$3–4 depending on regional pricing). This represents its current pricing model following earlier promotional offers observed on third-party deal trackers.
IRIS Flow positions itself as a lightweight alternative to traditional slow-shutter photography, which typically requires neutral density filters and stable tripod setups. Siddhpura, who has released other imaging apps on the App Store, is based in Ahmedabad, Gujarat, according to the address listed on his developer profile.
How IRIS Flow Works
IRIS Flow uses on-device computational photography to combine multiple frames into a stabilised long-exposure result. According to its App Store description, the app features AI-powered handheld stabilisation capable of simulating exposures up to 30 seconds, reducing the hand shake that normally makes long-exposure images difficult without a tripod.
Current features include:
Motion Blur Mode for water, crowds and vehicle motion
Ghost Mode for controlled subject movement effects
Light Paint Mode (introduced in version 1.2.1), which can also be used creatively for light-trail style visuals
Intelligent ISO Adjustment and automated exposure optimisation
Triple-lens support on compatible iPhones
On-device image processing with offline functionality, according to AiApps’ technical listing
The App Store’s data disclosure indicates that the app does not collect user photos, and there is no indication of image uploads for processing. Only basic usage analytics and diagnostics — categorised as “Data Not Linked to You” — are listed.
Although the developer has not published details about the underlying machine learning models, the feature set reflects the use of Apple’s on-device ML capabilities commonly used in modern iOS imaging apps.
Developer Background
Siddhpura is listed as the provider of IRIS Flow and earlier imaging tools such as Vivid: Lightroom Presets DNG. His developer listings and associated contact information place him in Ahmedabad, Gujarat, and he has actively engaged with photography communities online, discussing updates and inviting user feedback.
The release of IRIS Flow fits into a broader trend where solo iOS developers create specialised creative tools that complement built-in camera features, particularly in computational photography.
AI and the Evolution of Mobile Imaging
IRIS Flow’s arrival adds to the growing category of smartphone apps that use AI-enhanced processing to recreate effects traditionally associated with larger camera systems. Techniques such as frame alignment, AI stabilisation and motion-based blending - once reserved for flagship devices - are now increasingly accessible through third-party apps.
Apple’s own “Long Exposure” effect via Live Photos remains popular, but dedicated apps like IRIS Flow continue to differentiate themselves through handheld stabilisation, longer simulated exposure times and more specialised creative modes.
Looking Ahead
Recent App Store updates, including feature refinements, triple-lens support and the introduction of Light Paint Mode, indicate ongoing development. Siddhpura has also interacted with users in online communities, responding to feedback and noting upcoming improvements.
IRIS Flow is currently available in multiple Apple App Store regions, and its combination of handheld convenience, AI stabilisation and creative controls offers an accessible way for iPhone photographers to explore long-exposure imagery without carrying extra gear.
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