HeyGen is an AI video platform that lets users turn a script into a studio-quality video featuring a hyper-realistic digital avatar, in more than 175 languages and dialects. Founded in 2020 by Joshua Xu and Wayne Liang, the company is headquartered in Los Angeles and has grown into one of the most widely used generative video products on the market.
The core HeyGen workflow centers on three building blocks: stock and custom avatars that mirror real presenters, AI voices with cloning and emotion control, and accurate lip-sync that maps the speaker's mouth to whatever language and script the user generates. On top of this, HeyGen offers a video translator that automatically dubs existing footage into other languages, an instant avatar feature that turns a short selfie video into a reusable digital twin, and increasingly agentic 'AI Studio' workflows that assemble entire videos from a prompt or document.
HeyGen serves a wide spectrum of customers, from solo creators and YouTubers to large enterprises building training content, sales videos, marketing creative and localized communications. Its publicised customers include OpenAI, HubSpot and Ogilvy, and the company says it crossed 31 million registered users across 239 countries and more than 100,000 paying business customers in 2025. Reporting from Sacra and others put HeyGen's annual recurring revenue at roughly $95M in September 2025 and around $100M shortly after, with valuation in the $500M range.
The company has raised approximately $74M in total funding, including a $60M Series A led by Benchmark in 2024. HeyGen has been recognised by G2 as one of the fastest-growing products of 2025 and named to Fast Company's Most Innovative Companies 2026 in the video category.
HeyGen sits in a competitive AI video market that includes Synthesia, Colossyan, D-ID, Hour One and Runway, plus newer entrants leveraging text-to-video models. Its differentiation rests on photoreal avatar quality, fast localisation, an active feature roadmap and a self-serve model that supports both individual creators and large enterprise deployments.