Skills-Find
Summary
You're standing in front of a temple in Kyoto with no data signal, a menu you can't read, and a phone full of photos that mean nothing without context — that's the gap Spotter targets.
Spotter is a camera-based identification app that runs a point-and-shoot workflow: snap a photo, receive an AI-generated synopsis, then ask follow-up questions about what you just identified. Landmarks, street food, wildlife, foreign-language signs — the vendor states all of these fall within the identification scope. Each identified item saves as a geotagged 'Spot,' building a searchable travel journal automatically. The free tier caps snaps at three before hitting a paywall, which becomes the ceiling fast on a full travel day. There is no API and no self-hosted option, so teams looking to embed this capability into a custom product are out immediately.
Bottom line: Spotter earns its place in a solo traveler's toolkit for landmark and food identification on the road — but the three-snap free limit and absence of any API access make it a dead end the moment you need to integrate identification into your own app or hand it to a team at scale.
Pricing Plans
Subscription- Price
- $6.99/month or $39.99/year
- Free Tier
- 3 photo identifications per day, 5 chat messages per spot
Free
3 photo identifications per day, 5 chat messages per spot, full spot history with photos and locations, no account required to start
- 3 daily identifications
- 5 chat messages per spot
- Full spot history
- No account required
Premium
Unlimited photo identifications, 25 chat messages per spot, choose your AI model (Gemini or GPT), create custom synopsis modes
- Unlimited identifications
- 25 chat messages per spot
- Choose AI model
- Custom synopsis modes
View full pricing on skills-find.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Inline follow-up chat scoped to the identified subject, so you get visiting hours, nearby food, and practical tips without switching apps or opening a browser mid-street.
- Automatic geotagged journal built from every identification, which means you end a two-week trip with a searchable, location-stamped record you did not have to manually assemble.
- Multi-category identification — landmarks, food, wildlife, and foreign-language signs handled in one app — so you are not juggling four specialist tools across a single hike or city walk.
- Concise, context-rich synopses rather than raw labels, so a photo of a dish returns enough background to make an ordering decision rather than just a name you still have to search.
Cons
Sign in to edit- The free tier caps identifications at three snaps before requiring an upgrade — a solo traveler on a full day of sightseeing hits that ceiling before lunch, and there is no workaround short of paying.
- No API and no self-hosted option means any team that wants to embed identification into their own travel product or internal tool has no integration path and must switch to a provider that exposes identification as a service endpoint.
- The chat follow-up is scoped to the identified subject, so if the identification itself is wrong — a misclassified dish or an obscure local monument the model does not recognize — every follow-up answer compounds the original error with no correction mechanism visible in the workflow.
- There is no indication of offline processing capability, which means identification fails in exactly the low-connectivity environments — remote trails, rural markets, areas with poor roaming — where the tool's use case is most compelling.
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About
- Platforms
- iOS, Android
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-06-07T03:30:21.454Z
Best For
Who it's for
- International travelers seeking context about unfamiliar places
- Food tourists exploring local cuisine
- Nature enthusiasts on hiking or nature walks
- Travelers who don't speak local languages
- Users who want an offline-capable identification tool
What it does well
- Identifying landmarks and historical sites while traveling
- Naming unfamiliar street food and local dishes before ordering
- Translating foreign language signs and menus in real-time
- Wildlife and plant identification on nature trails and hikes
- Building a searchable, geotagged travel memory journal
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Frequently Asked Questions
- Is Skills-Find free?
- Skills-Find is a paid tool ($6.99/month or $39.99/year). No permanent free tier is offered.
- Is Skills-Find open source?
- No — Skills-Find is a closed-source tool. Source code is not publicly available.
- What platforms does Skills-Find support?
- Skills-Find is available on: iOS, Android.
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Curated lists that include this category
Spotter follows a three-step loop the vendor describes as ‘snap, identify, explore’: you point the camera at something unfamiliar, the AI returns an identification and a context-rich synopsis, and you can then chat to ask follow-up questions about that specific subject. That chat layer is scoped to the identified subject — you are not opening a general assistant, you are asking about this dish, this monument, this plant. Every identification is stored as a Spot with location data attached, so the app is simultaneously building a geotagged journal of your trip without any manual tagging on your part.
The differentiating feature is the inline chat tied to a specific identification. Most camera-identification tools return a label and stop. Spotter surfaces the identification and then lets you ask practical follow-up questions — visiting hours, nearby restaurants, whether you can walk to the top — without leaving the result screen. The Eiffel Tower demo on the vendor’s page shows this clearly: identification, historical synopsis, and three distinct follow-up answers all nested in one view.
The free tier the vendor surfaces shows a ‘three snaps left’ counter, which means casual users hit a hard gate before finishing a morning of sightseeing. Paid access removes that cap, but no pricing details are surfaced in the app’s public-facing material here. There is no API, no self-hosted deployment path, and no indication of offline processing — travelers in areas with poor connectivity face identification failures at exactly the moments the tool is most needed. Teams building travel apps or wanting to white-label this capability have no integration path and will need to look at providers that expose identification endpoints directly.