Google Introduces Ariel, Open-Source Tool for Video Ad Translation and Dubbing

July 16, 2024 at 1:18:45 PM

TL;DR Google Marketing Solutions has introduced Ariel, an open-source tool for automating video ad translation and dubbing into multiple languages. Ariel offers automated dubbing, scalability, user-friendly interface, and cost-effectiveness. It uses AI and audio processing technologies like DEMUCS, pyannote, and Google Cloud's Text-To-Speech. Ariel supports many languages and requires a Google Cloud project setup. It aims to enhance ad performance, reduce costs, and speed up multilingual campaigns.

Google Introduces Ariel, Open-Source Tool for Video Ad Translation and Dubbing

Google Marketing Solutions has released Ariel, a new open-source tool designed to automate the translation and dubbing of video Ads into multiple languages. This solution aims to enhance the global reach of digital advertising by streamlining the localization process.

Core Features

Ariel offers several key features:

  1. Automated Dubbing: Generates high-quality dubbed versions of video ads in various target languages.
  2. Scalability: Handles large volumes of videos across diverse languages.
  3. User-Friendly Interface: Provides a straightforward API and user interface for ease of operation.
  4. Cost-Effective: Primary expenses limited to Gemini API and Text-To-Speech API calls, potentially reducing dubbing costs compared to traditional methods.

Technology Stack

Ariel utilizes a combination of AI and audio processing technologies:

  • DEMUCS for audio source separation
  • pyannote for speaker diarization
  • faster-whisper and Gemini 1.5 Flash for speech-to-text conversion
  • Gemini 1.5 Flash for translation
  • Google Cloud Platform's Text-To-Speech or ElevenLabs API for generating speech in target languages

Language Support

The tool supports +40 languages, including major global languages and several regional dialects. Language coverage may vary depending on the underlying services used for speech-to-text, translation, and text-to-speech functions.

The tool is available for installation via pip and all details can be found here on Github.

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