Food Detection & Magnifier / Visual Intelligence App Store Listing in Simplified Chinese — Food Detection, Food Recognition, Identify Food, 食物检测, 食物识别 & 识别食物 zh-Hans Copy

Who this is for

Western indie iOS and iPadOS developers — US, UK, EU, Canada, Australia — who:

• Ship an accessibility, nutrition-adjacent, or vision app whose en-US product page prominently markets Magnifier or Visual Intelligence Food Detection — point the camera to identify food items, dishes, or ingredients
• Show gallery frames with Food Detection, Food Recognition, Identify Food, Magnifier Food Detection, Visual Intelligence food detection, or camera food-recognition badges — not Show and Tell hold-any-object narration, not Appliances kitchen-appliance outlines, not People Detection pedestrian outlines, not Door Detection exit arrows, not Furniture Detection room outlines, and not Point and Speak text-reading overlays as the lead story
• Reference buyer-facing vocabulary like Food Detection, Identify Food, and Detection Mode (系统 UI may use 食物检测, 食物识别, 识别食物, 食品检测, or 食物识别模式) in screenshot overlays or description bullets — marketing wording, not an engineering how-to
• Finished the en-US listing and passed App Review — not looking for Vision framework, food-classification ML, or Detection Mode API engineering here
• Enabled the China storefront but the zh-Hans row is empty, machine-translated, or still English on Food Detection gallery frames
• Need paste-ready zh-Hans listing fields — not an engineer for food-recognition models, not a designer to re-export every screenshot from scratch

If your lead feature is Show and Tell generic object narration — hold any object and hear what it is, not food-specific camera recognition — see Show and Tell listing (zh-Hans). If users point at physical text and hear it spoken, see Point and Speak listing (zh-Hans). If your gallery centers on spoken scene narration of the whole camera view, see Image Descriptions listing (zh-Hans). If your hero frames show Apple Health Caffeine intake logging — 咖啡因 — see Caffeine listing (zh-Hans). If your hero frames show Body Mass weight and BMI logging — 体重 — see Body Mass listing (zh-Hans). If Visual Intelligence point-the-camera-and-ask is the hero without food-as-lead, see Visual Intelligence listing (zh-Hans). If the entire China page is still English on every field, start with China App Store still shows English or the AppLocale product page.

Magnifier / Visual Intelligence Food Detection vs zh-Hans listing copy — two different jobs

Teams assume Magnifier Food Detection or Visual Intelligence food recognition working on buyer devices covers storefront language. On-device food identification and Connect actually separate Detection Mode behavior from product-page copy:

• Food Detection in Magnifier or Visual Intelligence — point the camera to identify food items, dishes, or ingredients; the system names what the camera sees so blind, low-vision, or curious users understand meals and groceries. Labeled with vocabulary like 食物检测, 食物识别, 识别食物, or 食品检测 in zh-Hans system UI when localized. Does not generate Chinese App Store listing text.
• Detection Mode picker — Magnifier lets users switch between detection categories (food, appliances, furniture, doors, people, text, Image Descriptions, Show and Tell, and related modes depending on iOS version). Your listing may show the Food Detection tile or identify-food frames; building food-classification backends is engineering work, not Connect metadata.
• Companion food-recognition apps — meal logging aids, allergen scanners, or Magnifier-adjacent tools that market "identify food with camera" or "Food Recognition" on the product page. Listing copy describes the benefit; Vision or Core ML code lives in the binary.
• Pricing and Availability → China — makes the app downloadable on the China App Store. Separate from language rows.
• App Store tab → Chinese (Simplified) — independent row for title, subtitle, keywords, description, promotional text, screenshots, and caption lines. Empty or English here means China buyers see English fallback regardless of Food Detection support in iOS or iPadOS.

Food Detection working on buyer devices and a localized China listing are both required when you sell on the China storefront — neither replaces the other. AppLocale covers how you describe Magnifier or Visual Intelligence food-recognition value on the product page in zh-Hans, not how you implement Detection Mode APIs or train food-classification models in code.

Food Detection listing copy is not Show and Tell, Appliances, other Detection modes, Health logging, or privacy nutrition labels

Vision and nutrition apps blur several Magnifier, Visual Intelligence, and Health surfaces indie teams conflate. AppLocale covers listing metadata only — Food Detection marketing on the product page:

• Food Detection & Magnifier / Visual Intelligence (this page) — Food Detection, Food Recognition, Identify Food, Identify food with camera, Magnifier Food Detection, Visual Intelligence food detection, 食物检测, 食物识别, 识别食物, 食品检测, 食物识别模式. Camera-based food identification when food recognition dominates the gallery — not generic Show and Tell object narration, not home-appliance outlines, not macro meal logging as-lead.
• Show and Tell (different) — hold any object in view and hear the system describe what you are showing, 展示与讲述, 出示讲述. See Show and Tell listing guide — generic object narration is not food-specific detection as-lead; do not paste Show and Tell badges when your gallery shows Food Detection tiles.
• Appliances (different) — refrigerators, microwaves, ovens, home appliance outlines, 电器检测, 家电检测. See Appliances listing guide — kitchen appliances are not food-item recognition on a plate.
• People Detection (different) — people, pedestrians, human outlines, 人物检测. See People Detection listing guide — people proximity alerts are not food identification.
• Door Detection (different) — doors, exits, door outlines, 门检测. See Door Detection listing guide — door and exit detection is not camera food recognition.
• Furniture Detection (different) — chairs, tables, sofas, furniture outlines, 家具检测. See Furniture Detection listing guide — room furniture outlines are not identify-food workflows.
• Vehicle Detection (different) — cars and vehicles in the street, Magnifier vehicle outlines. See Vehicle Detection listing guide — vehicles are not food items on camera.
• Image Descriptions (different) — spoken scene narration of what the camera sees broadly, 图像描述, 场景描述. See Image Descriptions listing guide — general scene description is not food-specific Detection Mode marketing.
• Point and Speak (different) — point the camera at text and hear it read aloud, 指着说. See Point and Speak listing guide — camera-point text reading is not food recognition overlays.
• Apple Health Caffeine (different) — caffeine intake logging, coffee caffeine entry, daily caffeine totals, 咖啡因, 咖啡因记录. See Caffeine listing guide — Health caffeine logging is not Magnifier Food Detection camera recognition.
• Apple Health Body Mass (different) — weight logging, BMI charts, 体重, 体质指数. See Body Mass listing guide — weight and BMI tracking is not camera food identification.
• General Nutrition macro logging (different — future sibling) — calories, protein, carbs, and meal macro tracking as the hero gallery story. A future sibling scope when macro logging dominates — not Food Detection camera recognition as-lead on this page.
• App Store privacy nutrition labels (different) — App Privacy questionnaire and Privacy Details panel marketing, Data Not Collected badges. See Privacy nutrition labels listing guide — privacy disclosure copy is completely different from Food Detection screenshot captions.
• Magnifier close-up zoom (different) — magnifying glass, reading magnification, 放大镜, 阅读放大. See Magnifier listing guide — zoom for reading fine print, not Food Detection tiles.
• Live Text OCR (different) — copy text from photos, 实况文本. See Live Text listing guide — text extraction from images, not identify food with camera.
• Visual Look Up (different when not food-as-lead) — long-press photo identification of plants, pets, landmarks, 视觉查找. See Visual Look Up listing guide — general photo lookup is not live Magnifier Food Detection unless food dominates your gallery.

Your screenshots may show multiple Magnifier or Visual Intelligence surfaces in one gallery. Listing copy should name the correct one per frame — a Food Detection identify-food view is not a Show and Tell hold-any-object panel, not an Appliances refrigerator outline, not a Caffeine intake log screen, not a Body Mass weight chart, and not a privacy nutrition label badge unless that frame explicitly shows those flows.

What China buyers see when zh-Hans Food Detection copy is missing

Food-recognition and accessibility apps often lead marketing screenshots with Detection Mode tiles, identify-food frames, or Magnifier Food Detection badges — surfaces where English UI chrome and your marketing blurbs appear together:

• English title and subtitle — app name and tagline still Latin script while competitors show native Chinese Food Detection positioning with 食物检测 or 食物识别
• Untranslated Food Detection captions — overlay lines like "Food Detection", "Identify Food", "Food Recognition", "Magnifier Detection Mode", and "Recognize what's on your plate" remain English on zh-Hans gallery frames
• Food-recognition value in English — description opens with US marketing ("Point your camera to identify food") that China readers skim past or misread
• Keyword field still en-US — buyers search 食物检测, 食物识别, 识别食物, or 食品检测; an English-only keyword row misses China Search intent
• Mixed page — Chinese description pasted once but screenshot captions and subtitle still English — reads unfinished next to localized competitors
• Conflating with Show and Tell — machine translation that promises 展示与讲述 when your app only markets food-specific camera recognition — mismatched expectations at install
• Conflating with Caffeine or Body Mass — description mentions 咖啡因 or 体重 logging when screenshots actually show Magnifier Food Detection — a vocabulary mismatch that erodes trust
• Conflating with privacy nutrition labels — Privacy Details marketing pasted where buyers expect 食物检测 food-recognition copy

Better zh-Hans listing copy helps buyers understand Food Detection value before install. It does not replace Detection Mode implementation, privacy-policy legal text, or Apple's review decisions.

What AppLocale delivers for Food Detection apps on zh-Hans

This SKU is a listing rewrite scoped to Magnifier or Visual Intelligence Food Detection marketing — paste-ready fields you copy into App Store Connect:

• Name (title) — zh-Hans app name within Connect character limits when your English title does not signal 食物检测 or 食物识别 to China searchers
• Subtitle — concise benefit line that can reference Food Detection or camera food recognition without stuffing raw English badge text
• Keywords — zh-Hans search terms buyers use for 食物检测, 食物识别, 识别食物, 食品检测, Magnifier Food Detection, and Visual Intelligence food vocabulary in your category
• Description — long listing body with clear zh-Hans paragraphs on identify-food workflows, Food Recognition, and Detection Mode value you already ship — without English-only Magnifier jargon
• Promotional text — when you include the 170-character promo field in scope
• Screenshot overlay / caption lines — short zh-Hans text on gallery images that show Food Detection UI ("食物检测", "食物识别", "识别食物", "食品检测", "食物识别模式", "放大镜食物检测")
• English alignment — matching en-US field notes when both storefronts must stay consistent on Food Detection promises

We map deliverables to the fields you actually use. Send every English overlay line and description paragraph that mentions Food Detection, Food Recognition, Identify Food, Magnifier Food Detection, Visual Intelligence food detection, or camera food recognition — we deliver counted strings that fit Connect limits. We rewrite what you already claim on the US page; we do not invent detection features your app does not ship.

Food Detection vocabulary — what translates differently

Magnifier and Visual Intelligence food-recognition marketing on App Store pages uses vocabulary general accessibility guides rarely cover. zh-Hans copy should reflect how Chinese buyers describe camera food identification — not a literal paste of US marketing:

Food Detection vs Show and Tell vs Image Descriptions

US pages use "Food Detection", "Identify Food", "Food Recognition", or "Recognize what's on your plate." China storefront copy often uses 食物检测, 食物识别, 识别食物, or 食品检测 — depending on whether you mean Apple's Magnifier Food Detection tile, Visual Intelligence food identification, or a companion app's identify-food story. Show and Tell (展示与讲述) narrates any held object — not food-specific detection as-lead. Image Descriptions (图像描述) narrates the whole scene. Food Detection is the camera food-recognition workflow. AppLocale aligns phrasing with your actual scope.

Food Detection vs Health Caffeine, Body Mass, and Nutrition macros

Health apps blur camera food recognition with intake logging. Caffeine (咖啡因) covers stimulant intake logs — not Magnifier Food Detection tiles. Body Mass (体重) covers weight and BMI charts — not identify-food camera frames. General Nutrition macro logging — calories, protein, and meal tracking as-lead — is a future sibling scope; this page covers Food Detection and food recognition when those dominate the gallery, not macro diary screens unless your English listing honestly leads with both on separate labeled frames.

Food Detection vs privacy nutrition labels

App Store privacy nutrition labels market Privacy Details questionnaires and data-collection disclosures — completely different from Food Detection screenshot overlays. Do not paste privacy badge vocabulary where buyers expect 食物检测 food-recognition copy.

Detection Mode vs close-up zoom

Magnifier hosts both close-up reading zoom and Detection Mode categories. Screenshot galleries often label one or the other. zh-Hans overlay lines should use 食物检测 or 食物识别 vocabulary for identify-food frames — not 放大镜 or 阅读放大 unless that frame shows reading zoom, not Food Detection.

Subtitle and keyword packing

The 30-character subtitle and 100-character keyword field need food-detection search terms Chinese buyers type — see Simplified Chinese keywords & subtitle for field mechanics. Terms like 食物检测, 食物识别, 识别食物, and 食品检测 each signal different intent from generic scanner or object-recognition keywords.

Caption lines vs burned-in badges

Marketing screenshot overlays you control — "Identify food with your camera" headlines on gallery frames — are separate caption fields or burned-in PNG text. See Screenshot captions in Simplified Chinese for caption-field mechanics when overlays are editable in Connect.

Before / after — Food Detection listing phrases (en-US → zh-Hans)

Concrete examples AppLocale rewrites from your English source — not Show and Tell, Caffeine, or Body Mass copy:

• Screenshot caption — Before: Food Detection → After: 食物检测
• Screenshot caption — Before: Identify Food → After: 识别食物
• Description line — Before: Point your camera to identify food items on your plate → After: 对准相机，识别盘中的食物
• Subtitle (30 chars) — Before: Camera food recognition → After: 相机食物识别
• Screenshot caption — Before: Food Recognition → After: 食物识别
• Keyword field — Before: Food Detection,Identify Food,food recognition,Magnifier,accessibility → After: 食物检测,食物识别,识别食物,食品检测,放大镜,无障碍
• Promotional text — Before: New — Food Detection in Magnifier Detection Mode → After: 新增放大镜检测模式食物检测功能

Final phrasing depends on your English claims, Detection Mode surfaces on gallery frames, and Connect character caps. See Promotional text in Simplified Chinese when your Food Detection pitch lives in promo text rather than the long description.

Why machine-translated Food Detection copy fails

• Literal "Food Detection" → awkward 食品探测 instead of commerce-idiomatic 食物检测 or 食物识别
• Generic "Object recognition" → 物体识别 (broad ML sense) instead of 食物识别 (food-detection buyers expect)
• English badge headlines preserved on zh-Hans screenshots — "Identify Food" with no Chinese benefit line beside it
• Overlay text overflow — long English "Magnifier Detection Mode Food Recognition" captions pasted into short callout zones truncate on device
• Conflating 食物检测 with 展示与讲述 — Show and Tell generic narration keywords when your gallery shows food-specific detection only
• Conflating 食物识别 with 咖啡因 or 体重 — Health logging vocabulary on dedicated Food Detection screenshot frames
• Conflating 食物检测 with privacy nutrition label copy — Privacy Details badges where buyers expect food-recognition overlays
• Inconsistent vocabulary between listing description, promotional text, and screenshot captions when all three mention Food Detection

Machine translation is fine for internal drafts. Finished Food Detection strings need idiomatic zh-Hans that states what food-recognition support you ship — while keeping accurate scope. AppLocale rewrites by hand; we do not deliver raw Google Translate or LLM output as finished copy.

What you send

• Your live App Store listing URL
• Current English listing copy — name, subtitle, keywords, description, promotional text if used
• Screenshot overlay text that mentions Food Detection, Food Recognition, Identify Food, Magnifier Food Detection, Visual Intelligence food detection, or camera food-recognition captions ("Food Detection", "Identify Food", "Recognize food", identify-food frame captions)
• Brief note on which Detection Mode categories or Visual Intelligence food surfaces your app ships or integrates with today — Food Detection only, or mixed gallery frames — so zh-Hans copy stays accurate
• Target locales (e.g. zh-Hans for China storefront)
• Your deadline if aligning with a Detection Mode launch or App Store feature update
• Reply from the email address on your Stripe receipt after checkout

What you get

• Simplified Chinese (zh-Hans) — listing fields and screenshot overlay lines scoped to Food Detection marketing, paste-ready for Connect
• English (en-US) — aligned listing strings when both locales need the same promise in native phrasing
• Character-count notes — which strings fit Connect limits and what to trim
• Paste-ready delivery — formatted copy mapped to each field you sent
• 24-hour turnaround — delivered to the email on your Stripe receipt

What we do not promise

• No guarantee that food-recognition accuracy, identification speed, or allergen safety improves — listing rewrite describes what you already ship
• No Magnifier Detection Mode API, Visual Intelligence food backend, Vision framework, or food-classification model engineering
• No claim that your app replaces Apple Magnifier Food Detection unless your English listing already states that accurately — and even then, AppLocale does not certify system parity
• No guaranteed App Store ranking, keyword position, download growth, or accessibility certification outcomes
• No fabricated social proof, review quotes, ratings, or traffic numbers
• No binary localization, in-app string translation, or Connect configuration on your behalf
• No screenshot design, PNG re-export, Apple Search Ads, or review-reply retainers
• Not QuantRadar · not investment advice · not legal review

AppLocale FAQ

Does Magnifier Food Detection or Visual Intelligence food recognition auto-translate my China listing?

No. Food Detection in Magnifier or Visual Intelligence does not create or fill a Simplified Chinese localization row. Empty or English zh-Hans fields mean China buyers see en-US fallback on the product page.

What listing fields does AppLocale rewrite for Food Detection apps?

Paste-ready Simplified Chinese (zh-Hans) copy for App Store Connect listing fields you specify: title, subtitle, keywords, description, promotional text when included, and screenshot overlay or caption lines that mention Food Detection, Food Recognition, Identify Food, 食物检测, 食物识别, 识别食物, 食品检测, or 食物识别模式 — rewritten from your English originals.

How is this different from Show and Tell, Appliances, Caffeine, Body Mass, or other guides?

Food Detection listing copy covers Magnifier or Visual Intelligence marketing when camera food recognition dominates the gallery. Show and Tell covers generic hold-an-object narration — not food-specific as-lead. Appliances covers home appliance outlines. People, Door, Furniture, and Vehicle Detection cover other Magnifier categories. Image Descriptions covers spoken scene narration. Point and Speak covers camera-point text reading. Caffeine covers Health caffeine intake logging. Body Mass covers weight and BMI logging. Privacy nutrition labels cover Privacy Details questionnaire marketing. General Nutrition macro logging as-lead is a future sibling scope. Each scope has separate screenshot vocabulary.

Does AppLocale maintain twin pages for food-detect, food-recognition, food-identify, identify-food, food-scanner, food-scan, detect-food, food-id, or visual-food slugs?

No. AppLocale does not maintain separate twin pages for those slugs. Food detection, food recognition, identify food with camera, Magnifier Food Detection, Visual Intelligence food detection, and 食物检测 / 食物识别 / 识别食物 / 食品检测 marketing belong on this food-detection page when those dominate your lead gallery — not as duplicate slug files.

Does AppLocale implement Detection Mode or food-recognition code?

No. We deliver Connect listing metadata copy only. Detection Mode APIs, Visual Intelligence food pipelines, and in-app Food Detection UI work are outside AppLocale scope. We rewrite how you describe existing Food Detection features on the store page — we do not implement them in the app.

What do I send after payment?

Your live App Store listing URL, current English listing copy, screenshot overlay lines mentioning Food Detection, Food Recognition, or Magnifier / Visual Intelligence food identification (with frame order noted), which detection categories you ship, target locales (e.g. zh-Hans), and deadline. Reply from the email address on your Stripe receipt.

Is this machine translation?

No. We rewrite Food Detection listing copy by hand. We do not paste Google Translate or ChatGPT output into deliverables.

How fast is delivery?

Within 24 hours after your Stripe receipt. Send your App Store URL, English listing and overlay copy, target locales, and deadline from the email on your receipt.

Do you guarantee conversion lift or App Store rankings?

No. We improve clarity from your existing copy. We do not promise keyword position, search rank, or download growth.

How much does AppLocale cost?

$79 one-time via Stripe checkout. No subscription. Seller is Fortune Insight, LLC.

What is AppLocale not?

Not Show and Tell listing copy, not Appliances or other Detection Mode listing copy, not Caffeine or Body Mass Health logging listing copy, not general Nutrition macro-logging listing copy as-lead, not privacy nutrition labels listing copy, not Magnifier zoom, Point and Speak, Image Descriptions, Live Text, or Visual Look Up listing copy when food detection dominates, not Vision or Core ML engineering, not screenshot design, not binary localization, not Connect configuration, not ranking guarantees, not review-reply retainers, not QuantRadar, and not investment advice. AppLocale does not maintain twin pages for food-detect, food-recognition, food-identify, identify-food, food-scanner, food-scan, detect-food, food-id, or visual-food slugs. We do not invent reviews, ratings, or traffic numbers.

AppLocale — Food Detection & Magnifier / Visual Intelligence listing copy in Simplified Chinese

$79 one-time

Buy on Stripe

After checkout, reply from your Stripe receipt email with your App Store URL, English listing and Food Detection overlay copy, target locales, and deadline. Delivery within 24 hours.
No ranking guarantees. Sold by Fortune Insight, LLC.