WishBot

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Introduction: WishBot is an AI-powered platform for creating and sending personalized greeting cards. It provides a selection of pre-made templates alongside an AI tool for generating custom cards tailored to various occasions and sentiments, offering a fast, eco-friendly, and cost-effective alternative to traditional greeting cards.

WishBot Product Information

What is WishBot?

WishBot is an AI-powered platform designed to create and send personalized greeting cards. It offers pre-made cards and an AI tool to generate new cards, catering to various occasions and sentiments. Wishbot aims to provide a fast, eco-friendly, and budget-friendly alternative to traditional greeting cards.

How to use WishBot?

WishBot allows users to create personalized cards in four steps: select an occasion, choose a card style (AI image generation, photo enhancement, or animated videos), customize the card with a message and unique styles, and send it instantly via email, text, or social media.

WishBot's Core Features

  • AI-powered greeting card generation
  • Pre-made card templates
  • Customizable text, fonts, and styles
  • Instant delivery via multiple channels

WishBot Use Cases

#1 Creating birthday cards featuring balloons and confetti using AI generation.

FAQ from WishBot

Do credit packs expire? +

No, credit packs do not expire.

Can I send eCards for free? +

Yes, users on any plan can send an unlimited number of pre-made eCards per month.

Can I purchase or send physical cards? +

No, we do not currently offer physical cards, though we are working on this feature.

What happens to unused AI credits on a subscription plan? +

Unused monthly AI credits from a paid subscription plan expire at the end of the month. Top-up credits do not expire as long as you maintain an active subscription.

Can I delete my account? +

Yes, you can delete your account at any time. All personal data will be permanently erased from our system within 30 days.

Are AI-generated cards private? +

No, AI-generated cards are public, even for users on a paid subscription plan. Private generation is not currently available.

Can I cancel or upgrade my subscription? +

Yes, you can cancel or upgrade your subscription at any time via the Billing section.

Are refunds available for AI credit packs or canceled subscriptions? +

Refunds are not automatically provided for canceled subscriptions. Users retain access to premium features until the end of the current billing period or until their credits are exhausted. Refund requests may be considered on a case-by-case basis by submitting a support ticket.

What happens if I cancel my paid subscription plan? +

You will retain access to premium features until the end of your current billing cycle, after which your account will revert to the free plan.

How do I manage my subscription? +

You can manage your subscription, including cancellations and upgrades, in the Billing section of your account settings.

How is support handled? +

You can submit support queries via the Help section, and they are typically answered within 72 hours.

WishBot Pricing

Free

$0

Free plan available.

Related Model Comparison Pages

Use these comparison pages to understand the trade-offs between the models most relevant to WishBot.

Compare Gemini 1.0 Pro Deprecated and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

Compare Gemini 1.0 Pro Deprecated and Gemini 2.5 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

Compare Gemini 2.0 Flash Lite and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

Compare Gemini 2.5 Flash and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

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