Report updated Jun 18, 2026
Reversee: Reverse Image Search
For users needing to identify image sources, find high-resolution versions, or verify social media profiles.
Reversee: Reverse Image Search is a challenged utilities app that is free with in-app purchases. With a 4.4/5 rating from 12.8K reviews, it faces significant user friction. Users particularly appreciate multi-engine reverse image search provides effective anti-catfishing assistance for users, though post-update technical failures render the image search functionality completely unresponsive remains a common concern.
What is Reversee: Reverse Image Search?
Reversee is a utility app for iOS that connects local photo libraries to reverse image search engines like Google, Bing, and Yandex.
Users hire this app to identify image origins and verify social profiles, serving a need for quick visual authentication that manual browser searches cannot fulfill.
Current Momentum
v5.3 · 31mo ago
Zombie- Repaired Google Search functionality.
- Quiet 4 months — bug fixes only.
Active Nemesis
Image Downloader for Safari
By Pierre Stanislas
Other Rivals
7-Day Rank Pulse 🇺🇸
UtilitiesNo ranking data
Rating Pulse 🇺🇸
Recent User Mood
What makes this app unique?
What Does It Look Like?
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What Are The Key Features?
Integrates search into system share sheets.
Access to Bing and Yandex.
Tools for cropping and rotating.
How much does it cost?
- Free with ads
- Premium one-time purchase
Gates advanced search engines and utility tools behind a premium upgrade to remove ads.
Who Built It?
Eduardo Rocha
View Publisher Intel →Enrichment in progress
Publisher profile available very soon
What other apps does Eduardo Rocha make?
What do users think recently?
High confidence · Latest 102 of 238 total reviews analyzed
How did the latest release land?
What is the recent mood?
Recent user voice shows a frustrated sentiment. Users appreciate multi-engine reverse image search provides effective anti-catfishing assistance for users, but report post-update technical failures render the image search functionality completely unresponsive.
What Users Love
What Frustrates Users
What Users Want
View the full user-sentiment analysis
Mood gauge, ratings & review-volume history, every praise / complaint / request, and sentiment over time.
What is the competitive landscape for Reversee: Reverse Image Search?
Where is it available?
Localized markets (9)
How's The Utilities Market?
Market outlook for this category
Available very soon
The rivals identified
Nemeses(1)
This app directly competes for the same utility-focused user base by providing a seamless Safari-integrated workflow for image management and discovery.
Differentiators
- Offers native Safari integration that allows users to extract images directly from web pages seamlessly.
- Provides bulk download capabilities that significantly reduce the time required to save multiple web images.
- Maintains a massive review volume that creates a strong social proof barrier for new competitors.
Head to head
The target should pivot toward advanced search engine filtering and metadata analysis to differentiate from the nemesis's broad, utility-based download focus.
Contenders(4)
This app competes for the same user intent by providing a simple, integrated reverse search experience with added editing capabilities.
Differentiators
- Integrates a built-in image editor that allows users to crop or rotate images before searching.
- Provides direct share integration, enabling users to send images to the search engine from other apps.
It targets the same utility-seeking demographic by positioning itself as a quick, smart tool for identifying images.
Differentiators
- Implements smart filtering options that help users narrow down search results by specific visual criteria.
- Prioritizes a quick-find user interface designed for users who need immediate search results without configuration.
This is a direct functional competitor that focuses on the same core reverse image search utility as the target app.
Differentiators
- Includes specialized image pre-processing tools that improve search accuracy for cropped or edited photos.
- Features custom camera integration allowing users to search for physical objects in real-time.
While focused on storage, it competes for the same photo-management audience by offering AI-driven organization tools that overlap with image-heavy workflows.
Differentiators
- Utilizes advanced on-device AI to intelligently categorize and remove duplicate or low-quality photos automatically.
- Monetizes through a robust subscription model backed by a well-known brand in the utility space.
Same space(3)
A direct functional peer that provides similar browser-based reverse search capabilities to the target app.
Differentiators
- Supports multi-engine search integration, allowing users to compare results across different image search platforms.
- Includes advanced image extraction modes that handle complex web layouts better than standard search tools.
Competes for the attention of serious mobile photographers who use utility apps to enhance their capture and search workflows.
Differentiators
- Provides cinematic video tools that cater to professional creators requiring manual control over camera settings.
- Features hardware integration that optimizes performance for specific external lenses and professional camera gear.
Shares the photo-utility space by providing specialized data for photographers, though with a different functional focus.
Differentiators
- Provides precise sunlight phase calculations essential for professional outdoor photography and lighting planning.
- Offers full offline functionality, ensuring reliability for photographers working in remote or low-connectivity locations.
Compare Reversee: Reverse Image Search against every rival
All rivals in one side-by-side table — identity, store metrics, ratings & sentiment, and strategic intel — plus a head-to-head page for each.
The outtake for Reversee: Reverse Image Search
Strengths to defend, gaps to attack
Core Strengths
- One-time purchase model lowers conversion friction
- Multi-engine search provides functional identification advantage
Critical Frictions
- Search functionality unresponsive post-update
- Reliance on third-party crawling limits result sets
Growth Levers
- Integration of specialized engines like Baidu
- Expansion of metadata analysis tools
Market Threats
- Browser-native extensions capturing search intent
- Functional regressions driving users to free alternatives
What are the next best moves?
Rebuild search engine integration because post-update failures are the top complaint → restore core utility
High-frequency reports of blank screens and search failures post-update.
Trade-off: Pause new feature development for the image editor — search stability is the primary churn driver.
Audit search engine API calls because users report blank screens → reduce churn
The latest update claims to fix Google Search but reviews indicate the fix is ineffective.
Trade-off: Defer Baidu engine integration — core stability must precede expansion.
A counter-intuitive read
The app's one-time purchase model is its primary vulnerability, as it prevents the recurring revenue needed to maintain the high-frequency API updates required for reliable reverse image search.
Feature Gaps vs Competitors
- Bulk image download (available in Image Downloader for Safari but absent here)
Key Takeaways
Reversee provides a valuable multi-engine search utility, but the latest release's search failures are eroding user trust, so the PM must prioritize stabilizing the search-engine bridge to prevent churn to browser-native alternatives.
Where Is It Heading?
Declining
The image utility market is consolidating around browser-native tools that capture search intent at the point of discovery. Reversee's reliance on a one-time purchase model leaves it exposed to maintenance-heavy technical debt, so the PM must pivot to a more sustainable funding model or risk total loss of the power-user base.
Persistent search failures post-update drive negative sentiment, which will accelerate churn if not addressed by the next release.
The one-time purchase model remains a positive differentiator for users, but it fails to fund the rapid maintenance required for search stability.