Basic AI Chatbot Pricing: A simple chatbot that can answer questions about a product or service might cost around $10,000 to develop.
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The average cost to develop an AI text-to-image and video generator app ranges from $55,000–$80,000 (MVP) to $90,000–$140,000+ (full version)
Feature-wise cost depends on prompt input, image/video preview, AI integration, subscriptions, and admin controls
Tech stack includes React/Flutter, Node.js/FastAPI, PyTorch, and GPU servers like AWS EC2 or Lambda Labs
You’ll need a cross-functional team: PM, frontend/backend devs, AI/ML engineer, QA, and DevOps
Budget planning by phase helps manage costs smartly—UI/UX, backend, AI model setup, cloud hosting, testing, and launch
Save costs using open-source AI models, cloud startup credits, and building a lean MVP
Monetize via subscriptions, pay-per-use credits, white-labeling, and offering an API
Let’s cut to it— the average cost to develop an AI Text-to-Image and Video Generator App in 2025 ranges from $90,000 to $140,000, depending on the scope, features, and whether you’re using custom models or APIs.
That’s not pocket change—but it’s also not enterprise-level unreachable.
With the rise of tools like Midjourney, Runway, and Pika Labs, the demand for AI-generated visual content is exploding. Businesses, creators, and marketers are all looking for smarter, faster ways to create. And if you’re thinking of building in this space, it’s a smart move.
But smart ideas need smarter budgeting.
In this blog, we’re breaking down the AI image and video generator app development cost line by line—features, tech stack, team, infrastructure, and where you can cut costs without cutting corners. Think of it as your AI image and video generator app development cost breakdown —minus the fluff.
Let’s get into the real numbers and what it’ll take to bring your AI app idea to life—without blowing your budget.
Let’s talk features—because that’s where the bulk of your AI app development cost will go.
No matter how beautiful your UI is or how clever your branding sounds, your users care about what the app can actually do. And every feature you add affects the development cost of AI image and video generator app projects significantly.
Below is a breakdown of must-have features—and how much they’ll typically cost to build.
Feature | Description | Estimated Cost |
---|---|---|
Text Prompt Input | Allows users to enter natural language prompts to generate visuals | $2,000–$3,000 |
Style / Genre Selector | Users can choose from visual styles (e.g. anime, photorealistic, pixel art) | $1,500–$2,500 |
Image / Video Preview | Shows the AI-generated media before download | $2,500–$4,000 |
Download Functionality | Allows users to save high-quality outputs locally | $1,500–$2,000 |
Prompt History / Saved Projects | Saves past prompts and lets users re-generate or revisit them | $2,000–$3,000 |
Subscription & Payments | Stripe/PayPal integration for monetization | $2,500–$4,000 |
Admin Dashboard | For content moderation, usage analytics, and user management | $3,000–$5,000 |
AI Integration (Image + Video) | Connects to generative models via API or custom inference engine | $8,000–$15,000 |
NSFW & Content Moderation | Filters inappropriate prompts or results using AI-based checks | $2,000–$3,500 |
Using an experienced AI development company like Biz4groupcan help you prioritize features, as done for one of our clients Zenscroll.
MVP (must-have features): $24,500 – $35,000
Full-featured version: $35,000 – $50,000+
Keep in mind, these are average numbers based on market research, direct project experience, and industry quotes.The actual cost of developing AI image and video generator app features will vary based on your tech stack, design complexity, and the generative AI development services you hire.
Partner with Biz4Group to develop your AI-powered text-to-image and video generator app — with speed, strategy, and cost-efficiency in mind.
Book a Free Consultation CallThis is the part where many first-time founders get blindsided. Because it’s not just about writing code—it’s about hosting models, running inference, storing output files, securing data, and making sure your app doesn’t fall apart under 10 users.
Let’s break down the tech stack and infrastructure costs for AI text-to-image and video generator app development, in plain English and table format.
Layer | Technology Options | Estimated Cost |
---|---|---|
Frontend | React.js, Flutter (mobile), Swift/Kotlin (native) | $5,000 – $10,000 (UI/UX + Dev) |
Backend | Node.js, Django, FastAPI | $5,000 – $8,000 |
AI/ML Frameworks | PyTorch, TensorFlow, Hugging Face, OpenAI, RunwayML APIs | $2,000 – $10,000/month (API or infra) |
Inference Servers | AWS EC2 A100, Lambda Labs, Paperspace, GCP GPU instances | $2 – $5/hour (~$500 – $5,000/month) |
Cloud Storage | AWS S3, Firebase, IPFS | $100 – $500/month |
Authentication | Firebase Auth, Auth0, Custom OAuth | $500 – $1,500 setup |
Content Delivery | Cloudflare, AWS CloudFront | $300 – $1,000/month |
DevOps & CI/CD | Docker, Kubernetes, GitHub Actions, Jenkins | $1,500 – $3,000 (initial setup) |
Initial Setup Cost: ~$15,000 – $30,000
Monthly Infrastructure Cost: ~$2,000 – $10,000+ (depending on usage)
If you're working with an expert team, they'll often help you configure optimized, cost-efficient environments—especially if you're not ready to go full custom just yet.
And yes, many cloud providers (like AWS, GCP, Azure) offer startup credits—if you qualify, use them. It could save you thousands during your MVP stage.
Here’s the deal: you can’t build a quality AI app with a solo developer and good vibes. Especially not when it comes to something as technically complex (and GPU-hungry) as an AI text-to-image and video generator app.
You’ll need a team. Maybe not a huge one—but the right one. And that team is where a major chunk of your AI app development cost will go.
So, let’s break it down by roles, hourly rates, and time commitment—for both an MVP and a full-scale version.
Role | Avg. Hourly Rate | Hours (MVP) | Cost (MVP) | Hours (Full App) | Cost (Full App) |
---|---|---|---|---|---|
Project Manager | $40–$60 | 80–100 | $3,200–$6,000 | 120–150 | $4,800–$9,000 |
UI/UX Designer | $35–$50 | 100–120 | $3,500–$6,000 | 150–180 | $5,250–$9,000 |
Frontend Developer | $40–$60 | 150–200 | $6,000–$12,000 | 250–300 | $10,000–$18,000 |
Backend Developer | $40–$60 | 150–200 | $6,000–$12,000 | 250–300 | $10,000–$18,000 |
AI/ML Engineer | $60–$100 | 120–150 | $7,200–$15,000 | 200–250 | $12,000–$25,000 |
QA Engineer | $30–$50 | 60–80 | $1,800–$4,000 | 100–120 | $3,000–$6,000 |
DevOps Engineer | $50–$75 | 40–60 | $2,000–$4,500 | 80–100 | $4,000–$7,500 |
MVP Version: $29,700 – $59,500
Full Product: $49,050 – $92,500
If you’re outsourcing internationally, you might shave off 15–20%. Hiring top-tier in-house? Expect to go higher. To help you in selecting top software development outsourcing companies, here’s a great guide.
Besides, to understand in detail about the UI/UX design cost, here is a complimentary guide for you.
Get a detailed breakdown of your AI image and video generator app development cost and expert input to reduce unnecessary spending.
Lets ConnectYou’ve seen the features.
You’ve seen the tech stack.
You’ve seen the team it takes to build this thing.
Now let’s answer the big one:
How much does it cost to develop an AI text-to-image and video generator app—start to finish?
Below is a phase-wise breakdown of the AI image and video generator app development cost, showing what you’ll likely spend at each stage—for both a Minimum Viable Product (MVP) and a fully-featured app.
Development Phase | MVP Cost Range (USD) | Full App Cost Range (USD) |
---|---|---|
UI/UX Design | $5,000 – $10,000 | $10,000 – $15,000 |
Feature Development | $24,500 – $35,000 | $35,000 – $50,000+ |
AI Integration & Model Setup | $8,000 – $15,000 | $15,000 – $25,000+ |
Backend & Infrastructure Setup | $8,000 – $12,000 | $12,000 – $18,000 |
Cloud Hosting & GPU Setup | $2,000 – $5,000 (initial) | $5,000 – $10,000 (initial) |
Testing & QA | $3,000 – $5,000 | $5,000 – $7,000 |
Launch & DevOps Setup | $1,500 – $3,000 | $3,000 – $5,000 |
MVP Build: ~$55,000 – $80,000
Full-Featured App: ~$90,000 – $140,000+
These numbers reflect actual industry averages from AI-focused agencies, product studios, and freelance teams.
Remember, the biggest variable in AI Art generator app development cost is how you implement AI—whether you’re calling external APIs (like OpenAI or Stability AI) or fine-tuning and hosting your own models.
Add more functionality (like voice-to-video, motion interpolation, or real-time generation), and you can easily go beyond the high end of this estimate.
Again, our team has compiled a detailed guide on how to build custom MVP software.
Let’s be honest— AI text-to-image and video generator app development isn’t cheap. But it also doesn’t have to wreck your entire startup budget. The trick? Spend smart, not small.
If you’re building your first version, testing market demand, or simply trying to keep things lean, here are cost-saving strategies that actually work.
Platforms like Stable Diffusion and ComfyUI give you robust image-generation capabilities without the licensing fees that come with proprietary models.
If you're technically inclined, you can run them locally or on rented GPU instances.
Saves: Thousands in API calls
Best for: MVP builds or low-volume apps
Instead of training custom models, use services like OpenAI (DALL·E), RunwayML, or Pika Labs to power your backend. Most of them offer usage-based pricing, which is way cheaper for early-stage products.
Saves: Time, infra costs, and ML engineering hours
Best for: Fast launches and MVPs
Yes, this again—because it’s that valuable.
AWS, GCP, and Azure offer $50K–$150K in credits to eligible startups. If you’re working with a tech incubator or AI software development company, they can often help you get access.
Saves: Major infra costs (GPU, storage, bandwidth)
You don’t need a full admin panel, real-time video generation, or 10 different image styles on Day One. Focus on:
This keeps your cost to build an MVP for AI image and video generator app within $50K–$80K instead of blowing past six figures.
Saves: Build time, money, and stress
Hiring a generalist agency or freelancer might look cheaper—until it’s not.Choose a team who knows what tools to use, what infra to avoid, and how to scale cost-effectively.
Saves: Rework, delays, bad architecture
Building smart is just as important as building fast.
Do it right, and your MVP will do exactly what it’s supposed to—validate your idea without draining your runway.
Launch faster and smarter with Biz4Group’s proven generative AI development services.
Lets ConnectIf you’re putting $50K–$140K into AI text-to-image and video generator app development, you better have a plan to get ROI—and ideally, fast.
The good news? You’re not just building a cool toy. You’re building a revenue engine. Let’s look at ways you can monetize your app and turn it into a legit business.
Offer free users a set number of generations per day—just enough to hook them. Once they hit the limit, upsell them to a paid plan.
Simple. Effective. Scalable.
Tiered subscriptions are the bread and butter for monetizing AI tools. Lock premium features like:
Set pricing based on user type—creators, agencies, enterprise clients.
Let users buy credit packs (e.g., 100 prompts = $10). This is ideal if your infrastructure cost is usage-based (like OpenAI or GPU inference time).
Expose your model via an API and let 3rd-party devs build on top of your platform. Think Zapier integrations, WordPress plugins, or even enterprise SaaS tools that want embedded AI functionality.
Sell your platform as a white-label solution to agencies, media companies, or niche markets (like real estate, education, etc.) who want their own branding on it.
Let users sell the images or videos they generate—within your platform. Take a cut on every transaction.
Let’s face it—choosing the right development partner is everything when it comes to staying on budget without compromising quality.
And if you’re serious about building a powerful, scalable, and smartly designed AI text-to-image and video generator app, Biz4Group checks every box where you can hire AI developers with good scale of experience.
Here’s why:
Biz4Group is not new to this game. We’ve been delivering advanced enterprise AI solutions long before ChatGPT made “prompt engineering” a dinner table phrase. Our generative AI development services include everything from image and video synthesis to natural language processing and services related to real-time AI integration.
One standout example? Zenscroll—a fully custom AI-powered social media platform built by Biz4Group’s team.
What it does:
Why it matters:
Zenscroll is living proof that Biz4Group knows how to deliver complex, consumer-facing AI products— on time and on budget. It’s not theory. It’s shipped software.
Whether you need an MVP or a full-scale platform, Biz4Group offers:
From early-stage consulting and cost estimation to rapid prototyping, their team works closely with founders and product leaders to build fast, smart, and aligned to business goals.
No surprises. No guesswork. Just experienced delivery.
Get end-to-end support from Biz4Group to reduce your AI app development cost without compromising on quality or innovation.
Book a Free Consultation CallSo, how much does it really take to build an AI text-to-image and video generator app?
On average, you’re looking at $55,000 to $80,000 for an MVP, and $90,000 to $140,000+ for a full-featured product.
That includes everything—UI/UX design, feature development, cloud infrastructure, AI model integration, and testing. Sure, you can trim costs by using pre-trained models or skipping video features in V1, but if you’re in this to win long-term, build smart—not cheap.
Here’s what to keep in mind:
Building an AI product is no small feat. But if you do it right, the payoff is huge.
To know how.
It typically costs $90,000 to $140,000+ for a full version, and around $55,000–$80,000 for a functional MVP.
Key features include text prompt input, image/video generation, style selection, download options, subscription management, and content moderation.
Yes! Tools like Stable Diffusion and ControlNet are excellent for reducing AI-related costs, especially in early stages.
You’ll need a Project Manager, UI/UX Designer, Frontend & Backend Devs, an AI/ML Engineer, QA, and DevOps—either in-house or via an agency.
Popular strategies include freemium plans, pay-per-use credits, subscriptions, API licensing, and white-label solutions for other platforms.
with Biz4Group today!
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