AI Text-To-Speech 100% Human Voice

@toriquldev123

Hello Dear! I write to introduce myself. I'm Engineer Toriqul Islam. I was born and grew up in Bangladesh. I speak and write in English like native people. I am a B.S.C. Engineer of Computer Science & Engineering. I completed my graduation from Rajshahi University of Engineering & Technology ( RUET). I love to work on Web Design & Development project. Web Design & development: I am a full-stack web developer with more than 10 years of experience. My design Approach is Always Modern and simple, which attracts people towards it. I have built websites for a wide variety of industries. I have worked with a lot of companies and built astonishing websites. All Clients have good reviews about me. Client Satisfaction is my first Priority. Technologies We Use: Custom Websites Development Using ======>Full Stack Development. 1. HTML5 2. CSS3 3. Bootstrap4 4. jQuery 5. JavaScript 6. Angular JS 7. React JS 8. Node JS 9. WordPress 10. PHP 11. Ruby on Rails 12. MYSQL 13. Laravel 14. .Net 15. CodeIgniter 16. React Native 17. SQL / MySQL 18. Mobile app development 19. Python 20. MongoDB What you'll get? • Fully Responsive Website on All Devices • Reusable Components • Quick response • Clean, tested and documented code • Completely met deadlines and requirements • Clear communication You are cordially welcome to discuss your project. Thank You! Best Regards, Toriqul Islam

@ASSAMWEB

Greetings, I have read the project description I have been working on a similar project in recent time "TSS - local" I am interested in the work open a chat to discuss requirements in details.

@khuzaima024

Hi, I can build a neural-quality, SSML-enabled TTS system with adjustable voice, speed, pitch, and volume, delivering MP3/WAV in seconds via a clean API or simple UI. Let Discuss further

@hadirdammak

Hello, I am an AI and cloud-focused developer with hands-on experience building neural-quality text-to-speech (TTS) solutions for web, mobile, and API-based products. I can deliver a complete, reproducible TTS system while clearly explaining the technical decisions so you can extend it into future products. Preferred stack & approach For this project, I recommend a modular and provider-agnostic architecture, with the best options being: Azure Cognitive Speech or Google Cloud Text-to-Speech for highly natural neural voices and strong SSML support Amazon Polly as a cost-efficient alternative Coqui TTS if you prefer an open-source, self-hosted option to minimize long-term costs The solution would include: A REST API (Java / Spring Boot or Node.js if preferred) Text input → MP3 or WAV output within seconds Adjustable parameters: voice, rate, pitch, volume Full SSML support for fine-grained pronunciation control An extensible structure to easily add new languages or accents Platform support I can provide: A backend API usable by web, desktop, iOS, and Android apps A simple demo interface (web or mobile) to test real-time speech generation Licensing & cost handling Clear explanation of pricing models (per character/token) for each provider Guidance on controlling usage and avoiding unexpected costs Clean setup instructions reproducible on a fresh machine or cloud environment Best regards,

@novatech2210

Hi Suresh, Just wrapped up a text-to-speech project leveraging neural quality from Google Cloud TTS, delivering natural-sounding voices with adjustable rate, pitch, and volume. I built a scalable solution using a cloud-based service, allowing for seamless integration into various platforms, including web, desktop, and mobile. We're the perfect fit for this project. I specialize in designing and implementing AI-powered text-to-speech solutions using industry-standard engines like Google Cloud TTS, Amazon Polly, and Azure Cognitive Speech. My expertise includes handling licensing and token costs, ensuring smooth integration with your existing products. With multiple 5-star reviews on complex AI projects, I can assure you a well-documented and reproducible solution that meets your acceptance criteria. I'd be happy to jump on a quick call to discuss your specific needs and walk you through the technical decisions. Happy to provide a free consultation and some solid ideas, even if we don't fit your needs perfectly. Chris | Lead Developer | Novatech

@anirudhat

Hi, I can help with this task. Ready to start immediately.

@kend27

With a name like Ken, you can be sure my seriousness and dedication come hand-in-hand with my friendly demeanor. My extensive experience in your project's required field makes me uniquely suited for the job. As an expert in ASR, TTS, voice activity detection, and more, I have been building intelligent systems that process audio and convert text-to-speech for years with high precision. Whether it's Whisper, NeMo, Deepgram, Silero or utilizing Google Cloud TTS, Amazon Polly, Azure Cognitive Speech etc., my tech stack expertise ensures neural quality throughout. What further sets me apart is my ability to navigate the tech landscape. I understand latency, licensing costs and program interfaces and leverage that understanding to deliver the best solution while managing expenses prudently. Moreover, with extensive exposure to AWS, GCP and Azure cloud platforms employing FastAPI, Docker etc., I guarantee a robust yet flexible architecture that will accommodate any language addition down the line - you won't be limited in any way. Finally, as someone who values communication and timeliness dearly, you can rely on me for consistent updates and rapid turnarounds without compromising on the quality of work even once. So let's not fall for 'plain' when richly human voices are beckoning - together we'll build a highly efficient Text-To-Speech system surpassing all your expectations - on time.

@vasylklymiu

Hi Suresh R., I just applied after read your job posting carefully and I believe that I am good fit to your project. I have thoroughly reviewed your requirements and I am confident in my ability to deliver excellent results. I'm a serious bidder. I will satisfy you with my high skills! I am an expert which have 8+ years of experience on Java, Mobile App Development, iPhone, Android, Cloud Computing, API Development, Natural Language Processing, AI Text-to-speech, Speech Synthesis, AI Development I am looking forward to meet you to discuss the further detail about this project. Looking forward to hearing from you. Thank You

@ethanf20

I don’t just complete tasks — I deliver clarity, polish, and measurable results. As an expert in neural text-to-speech systems for over 5+ years, I’ll build a clean, extensible TTS solution with SSML support that returns MP3/WAV in seconds and can later plug into your products via a simple API. I’ll ship a lightweight stack (FastAPI + Docker) with one endpoint: submit text/SSML + voice + rate/pitch/volume → get audio back. We’ll start with a cloud neural engine (Azure/Google/AWS) for best voice quality, then keep the interface abstract so you can swap in Coqui/local later. I’ll also document token/licensing costs and add guardrails (caching, limits) so usage stays predictable. You’ll get full setup notes and a reproducible demo UI (minimal web page or Postman collection). Ready to get started whenever you are. Regards, Ethan Fouché

@cloudaxisltd

I’m confident I’m the ideal person for your project, especially given your emphasis on a clean, professional, and seamless text-to-speech solution with adjustable rate, pitch, and volume controls. Your need for neural-quality voices and flexible architecture to support multiple platforms and future languages is clear. I offer expertise in building user-friendly, integrated TTS systems, and while I am new to freelancer, I have tons of experience and have done other projects off site, including working with Google Cloud TTS and Azure Cognitive Speech. I prioritize clean, well-documented code and straightforward setup. I would love to chat more about your project! Regards, Henning Munnik

@tricontech

Is your biggest risk here voice quality, predictable costs, or avoiding vendor lock-in when you later “plug this into other products”? I’m a software architect, so I’d build this as an engine-agnostic TTS layer (not a one-off script). Core: a single API (text/SSML + voice + rate/pitch/volume + MP3/WAV) backed by provider adapters (Google/Azure/Polly first, optional self-host later). This keeps controls consistent while letting you swap engines as pricing/quality changes. Assumption to challenge: “offline Coqui later” isn’t free quality, GPU/ops, and SSML parity vary. I’ll include a clear decision matrix (cost per 1M chars, latency, languages, licensing) and add caching + request de-dup to cut latency/cost. Relevant experience (factual): I’ve built production automation workflows handling audio pipelines (voice input → processing/transcription → structured outputs) and scalable AI orchestration, same discipline for reproducible setup notes and clean code. Milestone 1: demo UI + API returning MP3/WAV in seconds with documented setup. Next: multi-language/voices + auth/quotas. Open to a 15-min call to confirm constraints and I’ll propose the best first provider + demo plan? Looking Forward, Adeel Ahmad

@reyga32

Saya tertarik mengerjakan proyek ini. Saya siap membantu pekerjaan ketik ulang / data entry dengan hasil rapi, teliti, dan sesuai instruksi. Saya terbiasa mengerjakan tugas sederhana seperti: Ketik ulang dokumen PDF / gambar ke Word Copy paste dan perapihan teks Input data Saya siap mulai segera, fast response, dan terbuka untuk revisi ringan jika diperlukan. Terima kasih, semoga bisa bekerja sama. Hormat saya, [ ivo ryora ]

@santiagom721

Hello, Thank you for outlining your requirements. You’re looking for a neural-quality, platform-agnostic text-to-speech solution with clean architecture, fast audio generation, and flexibility for future integrations. This aligns well with my experience. I recommend using ElevenLabs as the primary TTS engine due to its highly natural, neural voices and low-latency MP3/WAV generation. It supports voice selection and adjustable expressiveness, and is well suited for products that prioritize lifelike speech. While it does not implement full SSML standards like Google or Azure, fine-grained control can be achieved through API parameters and text preprocessing. The architecture will remain provider-agnostic, allowing future integration of other engines if advanced SSML or additional features are required. Proposed stack: • Backend: Node.js or Python (API wrapper over the TTS provider) • Demo: lightweight web interface or API-first demo • Output formats: MP3 and WAV • Fully documented setup, reproducible on a fresh machine Acceptance delivery: • Working demo: text in → audio out within seconds • Controls or parameters for voice, speed, and pitch (engine-supported) • Clean, well-documented code and handoff notes Licensing & costs: • TTS provider account owned and paid directly by the client • Usage-based token/character costs remain transparent • No vendor lock-in at the architecture level Best regards, Santiago

@yousefegp2008

Hello, I’m very interested in working with you and supporting your business. I have experience in customer service, including responding to customers, solving issues efficiently, and maintaining a positive and professional communication style. What I offer: Fast and clear communication Strong problem-solving skills Professional and friendly customer interaction Commitment to quality and deadlines My goal is to help improve customer satisfaction and represent your brand in the best way possible. I’m available to start immediately and open to long-term cooperation. Looking forward to working with you. Best regards, Yousef Ahmed

@hassansuhail

You want a complete, neural-quality text-to-speech solution that converts plain text into natural, lifelike audio with flexible controls and future extensibility. The system must support adjustable voice, speed, pitch, SSML, and multiple output formats, while remaining platform-agnostic. You also want clarity on technical trade-offs, costs, and architecture decisions. I am Hassan Suhail, and I build production-ready AI integrations and developer-friendly tools. I specialize in speech systems, APIs, and clean architectures that scale across web and product environments. My focus is clarity, quality, and long-term flexibility. I’ll design a modular TTS solution using a neural engine like Google Cloud, Azure Speech, or Polly—clearly explaining voice quality, pricing, and licensing trade-offs. The demo will accept text and return MP3/WAV within seconds, with parameters for rate, pitch, volume, and SSML support. The codebase will be well-documented, reproducible, and ready to plug into future products or APIs. Let’s schedule a short call to align on voice quality, platform preference, and budget. I’m confident I can deliver a clean demo quickly and guide you through every technical decision. Looking forward to building this with you. Regards, Hassan Suhail

@GauravtheGreat01

I can build a clean, APl-based text-to-speech solution using neural-quality voices with SSML support. The system will convert text to MP3/ WAV in seconds and allow control over voice, speed, and pitch, while staying flexible for future languages or accents. I'll deliver a working demo, well-documented code, and clear setup notes. First demo ready in 3-5 days.