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perf: Turn off virtual device fusion for iOS receipt captures - #105768

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mountiny merged 2 commits into
Expensify:mainfrom
callstack-internal:perf/ios-disable-virtual-device-fusion
Nov 6, 2026
Merged

mountiny merged 2 commits into
Expensify:mainfrom
callstack-internal:perf/ios-disable-virtual-device-fusion

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@OlimpiaZurek

@OlimpiaZurek OlimpiaZurek commented Nov 3, 2026 •

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Explanation of Change

Since VisionCamera v5, every iOS scan takes a full photo, because v5 has no snapshot on iOS. iOS receipt capture p95 went from ~210ms to ~630ms. Most of the slow captures are on iPhone 15 Pro and newer (p95 ~700–830ms, against ~310–370ms on iPhone 14 / 15), and photo resolution doesn't explain it.

We capture with a virtual camera (wide + ultra-wide). VisionCamera only sets isAutoVirtualDeviceFusionEnabled when enableVirtualDeviceFusion is passed, so AVFoundation's default applies: on. With fusion on, iOS can merge frames from several lenses into one photo, which is extra work a flat receipt doesn't need.

This PR turns fusion off on iOS:

  • captureReceipt/index.ios.ts: enableVirtualDeviceFusion: false on every receipt capture
  • platformConfig/index.ios.ts: the same field in preparedPhotoSettings, so the plain portrait scan still matches the prepared settings and uses iOS's faster prepared path

Lens switching (for example macro on Pro iPhones) works as before. Android isn't changed.

Fixed Issues

$ #105825
PROPOSAL:

Tests

iOS only:

  1. Scan a receipt in normal light, in dim light and close up. Verify each photo is sharp and readable when zoomed in, and SmartScan reads it correctly.
  2. Scan with flash on and in landscape. Verify the flash fires and the photo shows upright.
  3. Verify a plain scan makes no shutter sound, and a flash scan does unless the phone is muted.
  4. Scan 3 receipts with multi-scan and submit. Verify all 3 expenses are created.
  • Verify that no errors appear in the JS console

Offline tests

QA Steps

Same as tests

  • Verify that no errors appear in the JS console

PR Author Checklist

  • I linked the correct issue in the ### Fixed Issues section above
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Screenshots/Videos

Android: Native
Android: mWeb Chrome
iOS: Native
iOS: mWeb Safari
MacOS: Chrome / Safari

@OlimpiaZurek

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@codex review

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@MelvinBot review

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Codex Review Summary

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📝 Code Review ✅ Completed 2026-11-04T14:33:02.447599Z 7393b67 Manual request
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Review

This looks good to merge. I found no correctness issues. CI passes, including unit tests and typecheck.

These parts check out:

  • The flag gets applied. In VisionCamera 5.2.3, toAVCapturePhotoSettings sets isAutoVirtualDeviceFusionEnabled only when output.isVirtualDeviceFusionSupported is true. Single-lens iPhones ignore it without an error.
  • The prepared settings still match. The plain portrait scan sends {flashMode: 'off', enableShutterSound: false, enableVirtualDeviceFusion: false}, and that is exactly what prepareSettings gets. The new test will catch it if the two drift apart.
  • The photo-upgrade capture isn't affected. usePhotoUpgrade.ts:152 sends the old settings without the fusion flag. That code never runs on iOS, though: shouldTakePhoto() always returns true there, so shouldUpgradeToPhoto is always false.

Suggestions (none blocking):

  1. Show the speedup. The description gives the regression numbers but no numbers with this change. Before/after receipt-capture p95 from an iPhone 15 Pro or newer would confirm fusion caused the slowdown.
  2. Check dim-light scans closely. Fusion can make low-light and close-up shots sharper. Test step 1 covers this. A SmartScan comparison of the same dim receipt on a Pro device would settle it.
  3. Optional follow-up for other cameras. The iOS captures in IOURequestStepOdometerImage/index.native.tsx:211 and AttachmentCamera.tsx:173 still leave fusion on. If the speedup holds, those flat-document captures could turn it off too.

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💡 Codex Review

Here are some automated review suggestions for this pull request.

Reviewed commit: c5117da3a4

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Comment thread tests/unit/captureReceiptTest.ts Outdated
// Given the settings iOS prepares ahead of time, which it only reuses for an identical capture
const preparedSettings = cameraPlatformConfigIOS.preparedPhotoSettings?.at(0);

// When a plain portrait scan is captured

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P1 Badge Explain why the plain capture is the test action

In the newly added prepared-settings test, this When comment only paraphrases the next captureReceiptIOS call; it never explains why that action is needed (for example, that the plain path is the one whose settings are prewarmed). Reword it to capture that rationale, since this repository requires Given/When/Then comments to explain why the test performs each step.

AGENTS.md reference: AGENTS.md:L93-L93

Useful? React with 👍 / 👎.

@OlimpiaZurek
OlimpiaZurek marked this pull request as ready for review November 4, 2026 12:20
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OlimpiaZurek requested review from a team as code owners November 4, 2026 12:20
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melvin-bot Bot requested review from TaduJR and flaviadefaria and removed request for a team November 4, 2026 12:20
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@TaduJR Please copy/paste the Reviewer Checklist from here into a new comment on this PR and complete it. If you have the K2 extension, you can simply click: [this button]

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Do you need review here @mountiny ?

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TaduJR commented Nov 4, 2026

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Oh i see no c+ was assigned on the issue. Continuing on review then

Its ready right @OlimpiaZurek?

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Oh i see no c+ was assigned on the issue. Continuing on review then

Its ready right @OlimpiaZurek?

Yes, it's ready for review

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Reviewer Checklist

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iOS: mWeb Safari
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Codex Review: Didn't find any major issues. Another round soon, please!

Reviewed commit: 7393b6735b

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Can we get adhoc build here @mountiny?

Thanks!

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🚧 mountiny has triggered a test Expensify/App build. You can view the workflow run here.

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LGTM!

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LGTM

@mountiny
mountiny merged commit c3da8ea into Expensify:main Nov 6, 2026
43 of 45 checks passed
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✋ This PR was not deployed to staging yet because QA is ongoing. It will be automatically deployed to staging after the next production release.

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🚧 mountiny has triggered a test Expensify/App build. You can view the workflow run here.

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@OSBotify OSBotify mentioned this pull request Nov 6, 2026
93 tasks done
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🚀 Deployed to staging by https://github.com/mountiny in version: 9.5.33-0 🚀

platform result
🕸 web 🕸 success ✅
🤖 android 🤖 success ✅
🍎 iOS 🍎 success ✅

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🚀 Deployed to production by https://github.com/roryabraham in version: 9.5.33-1 🚀

platform result
🕸 web 🕸 success ✅
🤖 android 🤖 success ✅
🍎 iOS 🍎 success ✅

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5 participants