ElevenLabs has launched its first native mobile application for iOS and Android, enabling users to generate lifelike voice clips from text directly on their smartphones. Until now, ElevenLabs’ powerful AI-driven voice libraries were accessible only via a web interface; the new app seeks to bridge that gap and cater to on-the-go workflows.

Over the past two years, ElevenLabs has emerged as a leading player in the AI voice synthesis space, earning praise for natural-sounding outputs and a user-friendly interface. Founded in 2022 and headquartered in New York City, the company quickly built momentum through a web-based text-to-speech platform that amassed over a million users by mid-2023. Early distinguishing features included accurate pronunciation of uncommon names, fast generation speeds, and a “generous free tier” that lowered the barrier to experimentation. Its Reader app, introduced in June 2024, extended AI narration to articles, PDFs, and e-books, and was well-received for its multilingual support and accessibility focus. The decision to build a standalone mobile app follows clear user demand: many creators were already accessing ElevenLabs via mobile browsers and requesting a native experience for speed and reliability.

The mobile app’s guiding principle is to integrate AI voice tools seamlessly into diverse creative workflows. According to Luka Terzić, Mobile Engineering lead at ElevenLabs, the team recognized that content creators, educators, marketers, voice actors, and professionals increasingly seek to work wherever inspiration strikes—be it during commutes, fieldwork, or casual brainstorming sessions. Jack McDermott, the company’s mobile growth lead, emphasized that many users were already typing text into mobile browsers and then exporting audio to editing apps like CapCut or InShot; the native app aims to streamline that process and reduce friction.

Upon opening the app, users are greeted with a simple interface: paste or type text, choose from a rich voice library, tweak parameters like speed and expression, and generate an audio clip within seconds. The free tier grants roughly 10 minutes of audio generation per month, shared across web and mobile platforms, ensuring continuity for existing users. For those needing more extensive usage, paid plans allow higher monthly quotas and access to advanced models. Users can select between different model tiers to balance generation cost versus audio fidelity, with the newest ElevenLabs v3 alpha model available in-app for highly expressive, nuanced speech synthesis via inline tags (e.g., [excited], [whispers]).

At the core of the mobile experience lies ElevenLabs’ v3 alpha text-to-speech engine, touted as its most expressive model to date. This iteration introduces fine-grained control over emotional tone, cadence, and style, enabling users to craft dynamic voiceovers—whether for immersive storytelling, sports commentary, or conversational dialogue. Inline audio tags allow creators to signal shifts in delivery: for instance, marking sections as “excited,” “whispers,” or “dramatic pause,” which the model then interprets to render lifelike intonation patterns.

Multilingual support continues to be a priority: the app offers voices in over 70 languages, letting global users connect with audiences across cultures without switching platforms. Furthermore, personal voice cloning features—previously available on the web—are integrated into mobile, subject to the company’s existing safeguards and paid-subscription requirements to mitigate misuse. One-tap export functions facilitate direct sharing to social media or editing suites, preserving audio quality and metadata for seamless integration.

The AI voice sphere is crowded, with players like Speechify, Google’s TTS offerings, and emerging startups all vying for creator attention. ElevenLabs’ mobile app competes by emphasizing studio-quality outputs, emotional richness, and an intuitive UX tailored for content-driven tasks. Unlike some rivals that focus primarily on accessibility or audiobooks, ElevenLabs combines versatility—covering marketing clips, educational narrations, podcasts, and creative storytelling—with advanced control features such as expressive tagging and multi-speaker dialogues.

Moreover, by aligning mobile and web credit systems, ElevenLabs ensures that users can pivot between desktop editing and on-the-go ideation without losing progress. This cross-platform consistency caters especially to small teams and individual creators who juggle multiple devices and collaborative projects. The app’s lightweight design and performance optimizations address earlier pain points of generating voice samples via mobile browsers, promising faster load times, reduced latency, and offline capabilities for drafting scripts even in low-connectivity environments (details on offline modes are forthcoming).

ElevenLabs’ Series C funding and $3.3 billion valuation earlier in 2025 underscored investor confidence in voice AI’s market potential. Expanding into mobile aligns with broader trends: creators increasingly demand tools that adapt to agile workflows, and enterprises look for scalable solutions for marketing, e-learning, and accessibility. By broadening its footprint to smartphones, ElevenLabs can capture additional usage data to refine models and identify new product opportunities such as speech-to-text transcription or conversational AI agents integrated in the same app. The company has signaled plans to roll out features like speech-to-text and AI-driven dialogue assistants in future updates, further positioning the app as a one-stop audio toolkit.

From a community perspective, the mobile app democratizes high-end voice generation: educators can record lessons in multiple voices while traveling; indie game developers can prototype character voices rapidly; social media influencers can produce daily voiceovers without needing desktop setups; and journalists can draft narrated segments on location. ElevenLabs’ existing policies around content moderation, identity verification for cloning, and usage monitoring will be critical as mobile usage scales, requiring continuous refinement to prevent abuse and protect intellectual property.