AI Text-to-Voiceover SaaS Creation

Job ID: 40205488

Budget: $750 – $1,500 AUD

Develop AI Text-to-Speech & Voice Cloning SaaS Platform

*Description:*
We are looking for an experienced full-stack developer or development team to build a scalable AI-powered Text-to-Speech (TTS) and Voice Cloning SaaS platform.

The platform should allow users to convert written text into realistic AI-generated voiceovers, supporting multiple languages, accents, and customizable voice styles. The system will target content creators, YouTubers, podcast producers, audiobook creators, marketers, and automation agencies.

The final solution must be modern, scalable, secure, and optimized for high-volume audio generation.



Platform Objective

The goal is to develop a web-based SaaS application that allows users to:
• Convert text into natural human-like voiceovers
• Generate AI voices for commercial and creative content
• Clone custom voices for branding and personalization
• Download and manage generated audio files
• Purchase subscriptions or credits for usage

AI voice generation platforms are commonly used for YouTube narration, podcast production, audiobook creation, and marketing campaigns due to their ability to generate natural and expressive speech quickly.



Core Features Required

1. AI Text-to-Speech Engine
• Convert text into natural sounding speech
• Real-time or near real-time audio generation
• Multiple voice tones and speaking styles
• Adjustable speed, pitch, and emotion controls
• Support large text inputs



2. Multi-Language & Accent Support
• Support multiple international languages
• Include regional accent variations
• Automatic language detection (optional enhancement)

Platforms similar to SpeakSay offer multilingual and accent support to enable global content creation workflows.



3. Voice Library System
• Categorized voice models (commercial, storytelling, narration, conversational, etc.)
• Voice preview before generation
• Voice tagging and filtering



4. Voice Cloning Module
• Upload reference voice samples
• AI training pipeline for voice replication
• Manage saved cloned voices
• Credit-based usage limitation

Voice cloning allows users to create personalized brand voices or replicate narration voices.



5. Audio Generation Dashboard
• User dashboard for:
• Text editor with preview
• Audio generation history
• Download options (MP3/WAV formats)
• Audio playback player
• Project saving



6. Subscription & Credit System
• Tier-based subscription plans
• Pay-per-credit model for audio generation
• Usage tracking and quota management
• Payment gateway integration (Stripe / PayPal)



7. User Management & Authentication
• Email & social login
• Role-based access
• User profile and billing management
• Password recovery and security measures



8. Admin Panel
• Manage users and subscriptions
• Voice model management
• Monitor usage analytics
• Payment and revenue reporting
• Content moderation tools



9. File & Media Management
• Cloud storage for generated audio
• Audio project management
• Download and sharing options



10. Performance & Scalability
• Queue-based audio processing
• Load balancing for AI generation
• CDN integration for faster delivery



Technical Requirements

Preferred Tech Stack

(Developers can propose alternatives with justification)

Frontend
• React / Next.js / Vue.js
• Tailwind / Material UI

Backend
• Node.js / Python (FastAPI / Django)
• REST or GraphQL APIs

AI & Voice Processing
• Integration with:
• ElevenLabs / Coqui / Azure TTS / Custom models
• Voice cloning model integration

Database
• PostgreSQL / MongoDB

Storage
• AWS S3 / Google Cloud Storage

Deployment
• Dockerized architecture
• AWS / GCP / Azure cloud hosting



UX/UI Requirements
• Clean SaaS dashboard design
• Fast audio preview workflow
• Mobile-responsive layout
• Drag-and-drop voice management
• Minimal learning curve for beginner users



Deliverables
1. Fully functional SaaS platform
2. Admin management dashboard
3. AI TTS & Voice cloning integration
4. Subscription and payment system
5. Deployment and server setup
6. Complete source code and documentation



Preferred Developer Qualifications
• Experience building AI SaaS platforms
• Strong understanding of audio processing
• Experience integrating AI APIs
• Prior work with subscription-based platforms
• Portfolio demonstrating similar products



Project Timeline
• MVP Development: 8-12 Weeks
• Testing & Optimization: 2-4 Weeks


*Tags:*
Full stack development
AI development
Saas
Web development
API Integration
Backend development
Payment Gateway Integration
Mobile app development


*Budget range:*
750-1500AUD