Fotify records 88,270 monthly visits with -19.2% month-over-month growth and Freemium pricing. Google AI Studio records 112,620,020 monthly visits with +2% growth and Freemium pricing.
Real-time guest photo sharing and digital RSVP invitations for unforgettable events
Google's rapid prototyping IDE and developer API workbench for building multimodal applications with Gemini models.
| Dimension / Metric | | |
|---|---|---|
| Official Domain | fotify.app | aistudio.google.com |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 88.27K (88,270) | 112.62M (112,620,020) |
| MoM Traffic Delta | -20.97K (-19.2%) | +2.19M (+2%) |
| Primary Market & Share | 🇺🇸 United States (17.3%) | 🇺🇸 United States (11.3%) |
| Direct Visits / mo | 36.72K | 60.81M |
| User Rating | 4.1 | 4.8 |
| Supported Platforms | Website | Website |
Real-time guest photo sharing and digital RSVP invitations for unforgettable events
Guests scan a QR code and their photos and videos appear on any TV, projector or tablet within seconds, tagged with their name and message.
Choose from 90+ invitation designs, collect replies, guest details and preferences, and keep everyone updated through one link.
The upload page opens in the phone's browser, so nobody has to download anything or sign up to contribute.
Approve photos before they display or let them flow and remove unsuitable ones later, backed by AI moderation for larger events.
Google's rapid prototyping IDE and developer API workbench for building multimodal applications with Gemini models.
Allows developers to drop hours of video, multi-track audio files, high-resolution images, entire codebases, and multi-hundred-page PDFs directly into the prompt window with up to 1,000,000 tokens of shared context.
Provides direct access to Google's frontier reasoning and agentic models with granular controls over thinking tokens, temperature, function declarations, and strict JSON schema output validation.
Includes a dedicated `/live` studio interface for testing sub-second, bidirectional voice and screen/camera interactions powered by `gemini-3.8-live`, `gemini-3.8-live-extended-thinking`, and `gemini-3.5-live-translate-preview`.
Connects model responses to live Google Search results and Google Maps geospatial data with a single toggle, including 5,000 free grounded requests per month on Paid tiers before $14/1,000-query metering.
Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents.
Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents.
One API key for hundreds of AI models from every major provider
Zhipu AI's open platform for GLM large models, multimodal APIs, and agent building
Zhipu AI's open platform for GLM large models, multimodal APIs, and agent building
Free / Open-sourceGoogle's family of lightweight, open-weight AI models
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SpecialistOne API for 1,500+ production-ready generative media models
AI content filtering and parental control that doesn't block the internet
AI content filtering and parental control that doesn't block the internet
SpecialistTogether AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
SpecialistTogether AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
SpecialistRun, fine-tune, and deploy machine learning models with one line of code
SpecialistRun, fine-tune, and deploy machine learning models with one line of code
Detect AI-generated text and images with benchmark-tested accuracy
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Free / Open-sourceLow-cost serverless inference APIs for 200+ open models
SpecialistOne API for fast, cost-predictable inference on LLMs and multimodal models
SpecialistOne API for fast, cost-predictable inference on LLMs and multimodal models
