HeyGen 101

The script begins with a warm welcome to a global webinar hosted by 'hey Jen', featuring guest Joy from the customer success team at Haen. The session aims to identify the audience's locations, with participants from France, Italy, the US, and more. Joy introduces herself as a customer success manager based in Los Angeles. The webinar offers an overview of Haen's services, including a special offer of five free credits for new participants to explore Haen's technology. The instructions for obtaining these credits are explained, emphasizing the need for an account creation and email provision for credit allocation. The session promises a 'Haen 101' topic, aiming to familiarize participants with Haen's offerings.

This paragraph delves into Haen's mission to democratize virtual storytelling through its generative AI video creation platform. It highlights the platform's capabilities, such as creating personalized and localized videos, and the use of AI for video translation into multiple languages. Joy presents an overview of Haen's key products, including video avatars for quick content creation and video translation services that offer lip-sync and voice cloning. The paragraph also mentions new features like URL-to-Ask and instant highlights for video repurposing, and it invites participants to ask questions for a more interactive session.

The focus shifts to Haen's video avatars, which allow users to create AI digital trains using their talking videos. The instant and studio avatars are differentiated based on their production quality and intended use cases. The paragraph emphasizes Haen's support for over 40 languages, enabling content creation that reaches a global audience. It also touches on the new software update that combines multilingual capabilities with video avatars, showcasing the platform's evolving features. A live demo is promised to give participants a practical look at the avatar creation process.

This section provides insights into customizing avatars and leveraging AI Studio's features. It explains how users can change their avatar's background, utilize personal branding elements, and create templates with avatar integration. The paragraph also addresses how to add natural gestures to avatars, suggesting the creation of multiple avatars for different content types. It mentions the ability to adjust voice cloning with 11 Labs and the ease of translating scripts with GPT 4's assistance. The importance of community feedback for product development is reiterated.

The script presents a real-world application of Haen's avatar engine through a video shared by Dave, a user who created a digital twin for various professional scenarios. The video demonstrates the capability to appear in different environments and communicate in multiple languages, highlighting the efficiency and quality of Haen's technology. It also teases upcoming features like emotional and expressive voices, encouraging users to provide feedback for continuous product improvement.

Joy introduces Haen's video translation feature, outlining its use case for existing videos and emphasizing support for over 70 languages and 150 locales. The workflow for video translation is explained, including the option for proofreading to ensure translation accuracy. The paragraph also discusses the new proof rate studio, which offers a more flexible and user-friendly interface for reviewing and editing translations.

The paragraph provides a detailed look at the proof rate studio's functionality, allowing users to manually edit and review translated content. It discusses the auto-detection of faces and voices in videos and the customization of script boxes. The importance of feedback for improving the proof rate experience is highlighted. Additionally, the paragraph addresses the quality of AI translations, suggesting an accuracy rate of around 85-90% and recommending proofreading for business-specific terminology.

This section offers tips for video translation, such as using the knowledge base to provide context for AI, which can improve translation quality and reduce proofreading time. It explains how to blacklist or whitelist terms and set the desired tone for translations. The paragraph also touches on the brand library feature and how it can be used to ensure correct pronunciation and translation of brand names.

The script includes a live demonstration of the video translation process, showing how to upload a video, select languages for translation, and generate a proof rate. It also addresses common questions about the translation quality and the ability to add custom subtitles in the target language. The paragraph provides a practical example of how video translation works within Haen's platform.

The final paragraph introduces Haen Labs, which houses experimental features and integrations like Canva and Adobe. It discusses the streaming avatar, a customizable AI-driven interactive feature that can be embedded on websites. The paragraph explains the updated workflow for creating streaming avatars through self-service plans and invites users to try the demo. It concludes with an invitation for feedback and an acknowledgment of the community's interest in streaming avatars.

The script concludes with thanks to the participants and an appreciation for the community's feedback. It mentions upcoming webinars, including a business 101 session for enterprise clients, and hints at potential deep dives into topics like streaming avatar customization. The paragraph also addresses the community's requests for features like animal avatars and reiterates Haen's commitment to improving the platform based on user feedback.