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What is Narralize?

Narralize transforms PDF documents into engaging audio summaries reminiscent of podcasts and supports 29 languages. This innovative approach enables businesses, creators, and professionals to connect with their audiences in unprecedented ways. By extracting essential points from newsletters and research papers, Narralize delivers these insights as vibrant audio summaries, effectively eliminating language barriers and enhancing content accessibility across diverse cultures. With this tool, users can easily upload PDFs to receive concise audio summaries tailored to their needs. Key Features Upload PDFs to receive audio summaries. Multi-Language: Create audio summaries for a global audience in 29 different languages. API Integration: Integrate your workflows with Narralize to automate seamlessly. Chrome Extension (Coming soon): Convert content with ease on the go. Notion Integration (In development): Bring audio summaries into your Notion workspace. Excitingly, as the platform evolves, users can anticipate more features that will further streamline their content consumption experience.

What is Gemini 3.8 Flash TTS?

Gemini 3.8 Flash TTS is Google’s advanced text-to-speech model for generating expressive, customizable, and multilingual synthetic speech. The model is designed for creative voice direction, allowing users to generate original characters and vocal personas using natural-language instructions instead of relying only on preset voices. Voice characteristics can be customized by role, accent, timbre, pacing, delivery style, and other attributes across more than 100 languages and dialects. Google also provides a library of more than 2,000 production-ready voices for projects that do not require a newly generated vocal identity. Voice replication can recreate a consistent vocal profile from a short reference sample when the user has permission to use the voice, with built-in consent verification requirements. Creators can direct performances line by line with stage directions and cues for emotion, timing, whispers, pauses, laughs, sighs, gasps, and conversational reactions. Long-form generation is designed to preserve voice quality, pacing, and character identity across extended content such as audiobooks, podcasts, and narrated media. Native two-speaker scene staging allows a single script to produce natural multi-turn dialogue with distinct speakers and controlled conversational timing. These capabilities make Gemini 3.8 Flash TTS applicable to gaming, interactive characters, voice agents, media localization, dubbing, branded voices, podcasts, audiobooks, and other audio-production workflows. Google applies SynthID watermarking to generated audio and supports C2PA credentials and consent checks to improve transparency and protect voice owners. Gemini 3.8 Flash TTS is available through Google AI Studio and the Gemini API, with additional integrations and deployments across Google products, enterprise applications, and third-party developer platforms.

Media

No images available

Media

Integrations Supported

Integrations Supported

Gemini
Gemini 3.1 Flash-Lite
Gemini 3.1 Pro
Gemini Enterprise
Gemini Enterprise Agent Platform
Gemini Live API
Gemini Notebook
Google AI Studio
Google Vids
SynthID

API Availability

Has API

API Availability

Has API

Pricing Information

$30/month
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Prossess LLC

Date Founded

2024

Company Location

United States

Company Website

www.narralize.com

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

google.com

Categories and Features

AI Summarizers

Not specified

Text to Speech

Not specified

Categories and Features

AI Models

Not specified

AI Voice Models

Not specified

Text to Speech

Not specified

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