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What is Kokoro TTS?

Kokoro TTS is recognized as an advanced text-to-speech platform that accommodates various languages and offers customizable voice features. With a robust architecture comprising 182 million parameters, it delivers high-caliber audio in languages including American English, British English, French, Korean, Japanese, and Mandarin. This tool not only provides lifelike voice options but also incorporates automatic content segmentation and is designed to be compatible with OpenAI, facilitating content creation and integration into applications with ease. Furthermore, leveraging NVIDIA GPU acceleration enables Kokoro TTS to ensure real-time audio generation, making it exceptionally suitable for a diverse array of projects. Its adaptability empowers users to enrich their applications with captivating voiceovers, thereby enhancing user engagement and overall experience.

What is Bland Speech v3?

Bland Speech v3 represents a cutting-edge text-to-speech technology designed to produce voice audio that mimics human speech closely, especially useful in scenarios like phone conversations where overly polished tones might feel disingenuous. This advanced model incorporates vital human characteristics such as breathing patterns, stutters, pauses, laughter, and throat-clearing by employing performance tags that are performed rather than merely recited. Users have the flexibility to either input their own scripts or make use of the Director feature to outline a dialogue, enabling Bland to meticulously shape the conversation's timing, structure, and delivery before the speech is generated. In addition to these features, the model provides voice cloning capabilities: a quick clone can be created from around 10 seconds of audio, while more professional-grade cloning necessitates at least 30 minutes of confirmed audio, during which users must verify ownership of the voice. Furthermore, Bland Speech is accessible through a web-based studio and a single API endpoint /v1/speak, which requires bearer-key authentication to ensure secure access. The audio is delivered using HTTP chunked transfer or WebSocket protocols, resulting in PCM16 WAV files at a 44.1 kHz sample rate, which guarantees excellent quality for various applications. This multifaceted functionality positions Bland Speech as a crucial resource for developers aiming to elevate their audio production capabilities, making it an indispensable solution in the realm of text-to-speech technologies.

Media

No images available

Media

Integrations Supported

Amazon Connect
Bland AI
Cal.com
Calendly
Five9
Genesys Cloud CX
Heard
HubSpot CRM
Make
NiCE CXone Mpower
Notion
Oxlo.ai
Pipedream
Salesforce
Slack
Talkdesk
Twilio
Vision Agents
Zapier
iMessage

Integrations Supported

Amazon Connect
Bland AI
Cal.com
Calendly
Five9
Genesys Cloud CX
Heard
HubSpot CRM
Make
NiCE CXone Mpower
Notion
Oxlo.ai
Pipedream
Salesforce
Slack
Talkdesk
Twilio
Vision Agents
Zapier
iMessage

API Availability

Has API

API Availability

Has API

Pricing Information

$0
Free Version
Free Trial Offered?

Pricing Information

$0.11 per minute
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Kokoro TTS

Date Founded

2024

Company Location

Singapore

Company Website

kokorottsai.com

Company Facts

Organization Name

Bland AI

Date Founded

2023

Company Location

United States

Company Website

www.bland.ai/speech

Categories and Features

Text to Speech

API
Adjust Speaking Rate / Pitch
Audio Optimization
Custom Lexicons
Different Voice Choices
Multi-Language Support
Synchronize Speech

Categories and Features

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