Google Expands Veo 2 with Editing Tools and Enhances Chirp 3 and Imagen 3 on Vertex AI

Google Expands Veo 2 with Editing Tools and Enhances Chirp 3 and Imagen 3 on Vertex AI

The News:

Google has launched a powerful suite of updates across Veo 2, Chirp 3, and Imagen 3, transforming Vertex AI into a full-stack generative media platform. These enhancements enable enterprises to create, edit, and deploy professional-grade audio, video, and image content using AI. With new tools like video inpainting, interpolation, and voice diarization, these models now deliver greater creative control and faster production cycles. Read the full post here.

Analysis:

According to McKinsey, generative AI could add $4.4 trillion to the global economy. But unlocking this value requires secure, scalable platforms. Google’s expansion of Veo 2, Chirp 3, and Imagen 3 positions Vertex AI as the premier environment for enterprise-grade generative media—with the tools, safety, and business alignment to turn AI outputs into real-world outcomes.

This is more than an upgrade—it’s the maturation of a generative media stack built for enterprise velocity, creativity, and trust.

From Generation to Creation Platform: The New Veo 2

The launch of Veo 2 editing capabilities marks a significant leap from passive content generation to dynamic content manipulation. Organizations can now:

  • Inpaint and outpaint video: Cleanly remove or extend elements frame-by-frame.
  • Apply cinematic shot presets: Simulate drone footage, timelapse effects, or other styles without needing editing expertise.
  • Interpolate between clips: Create seamless transitions between different video sequences.

These tools reduce reliance on external editing platforms, bringing time savings and operational efficiency to video workflows. The ability to adapt video formats for web and mobile screens using outpainting is particularly relevant for marketing and social media teams.

Chirp 3 Evolves: Instant Custom Voice and Transcription

Chirp 3’s new capabilities expand audio content generation and understanding:

  • Instant Custom Voice: Create production-quality voices from just 10 seconds of input—ideal for brand personalization, accessibility, and global CX localization.
  • Transcription with Diarization: Identify speakers in meetings or multi-party recordings with high accuracy—critical for legal, customer support, and content production workflows.

With built-in safety checks and a strict allowlisting system, these tools are designed to ensure responsible voice synthesis and data use.

Imagen 3: High-Fidelity Image Generation and Editing

The latest update to Imagen 3 strengthens its role as a top-tier text-to-image model with:

  • Better lighting, detail, and fidelity
  • Enhanced inpainting for object removal and image restoration

Use cases range from product image refinement to generative art and e-commerce asset creation. Combined with Veo and Chirp, Imagen 3 rounds out a highly capable media AI stack.

Looking Ahead:

Google’s vision is clear: with Veo, Chirp, Imagen, and Lyria integrated on Vertex AI, enterprises now have a single pane of glass to manage end-to-end media workflows—from ideation and generation to editing and deployment.

This centralization reduces friction between tools, accelerates production cycles, and simplifies compliance with:

  • SynthID watermarking for deepfake detection
  • Safety filters and AI Principles compliance
  • Customer data isolation and copyright indemnity protections

As generative media enters the enterprise mainstream, these controls are critical for sustainable deployment.

Real-World Business Impact Already Visible

Leading brands are seeing measurable ROI:

  • Kraft Heinz: Cut campaign creation time from 8 weeks to 8 hours.
  • L’Oréal: Deployed content across 20+ languages with full AI oversight.
  • Goodby Silverstein & Partners: Brought Salvador Dalí’s unreleased film concept to life with Veo and Imagen.

These case studies highlight the diverse creative and operational potential of Google’s generative media suite.

Author

  • Paul Nashawaty, Practice Leader and Lead Principal Analyst, specializes in application modernization across build, release and operations. With a wealth of expertise in digital transformation initiatives spanning front-end and back-end systems, he also possesses comprehensive knowledge of the underlying infrastructure ecosystem crucial for supporting modernization endeavors. With over 25 years of experience, Paul has a proven track record in implementing effective go-to-market strategies, including the identification of new market channels, the growth and cultivation of partner ecosystems, and the successful execution of strategic plans resulting in positive business outcomes for his clients.

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