Senior Software Engineer, Windows/Desktop Applications - London, United Kingdom

At Speechify, we are at the forefront of revolutionizing how individuals consume written content through groundbreaking text-to-speech technology. Our mission is to ensure that reading is never a barrier to learning, and we achieve this by transforming digital and physical text from PDFs, books, documents, articles, and websites into high-quality, natural-sounding audio. This innovation allows users to read faster, retain more information, and access content on the go, effectively turning any reading material into an audiobook. Speechify was born out of a personal need; our founder, Cliff Weitzman, developed the initial technology to overcome his own challenges with dyslexia. This origin story is deeply embedded in our company ethos, driving our commitment to accessibility and empowering users with diverse learning needs, including those with dyslexia, ADHD, and visual impairments.

Our technological advancements extend beyond basic text-to-speech. Speechify leverages sophisticated AI to offer a suite of features including over 200+ human-like voices in more than 60 languages, customizable reading speeds up to 4.5 times faster than visual reading, and optical character recognition (OCR) for scanning and listening to physical documents and images. We provide a seamless cross-platform experience with apps for iOS and Android, browser extensions for Chrome and Safari, and a web app, ensuring that users can sync their libraries and listen anywhere, anytime. Speechify is not just a tool for individuals; we also offer an AI-powered voice-over, voice cloning, and dubbing studio for businesses and creators, alongside a text-to-speech API for developers, positioning us as a leading provider of Speech AI globally. Our continuous innovation is reflected in features like active text highlighting, inline players, AI-driven summarization, and integrations with platforms like Gmail and Canvas, constantly enhancing the user experience and pushing the boundaries of audio-based learning and productivity.