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Description
Utilize text-to-speech technology to transform your written content into clear, engaging audio suitable for podcasts, videos, and more, all without the need for a microphone. Blogcast allows you to turn any text-based material into audio, making it easy to create podcasts or download raw audio files, which can also be simply embedded on your website. By adding audio to your WordPress posts, Medium articles, and other online content, you can significantly broaden your audience reach. Craft voice-over tracks for YouTube videos effortlessly, avoiding the costs associated with hiring professional voice talent. Generate new podcast episodes in conjunction with the publication of fresh articles, clearly explaining concepts and offering audio support for courses and online training. Incorporate audio into product explainers, demonstrations, and various support materials, and even publish audio chapters based on existing book content. With AI-driven text-to-speech capabilities, you can seamlessly convert your articles into natural-sounding audio, and by adding URLs or RSS feeds, you can automatically retrieve and convert new content as it becomes available. This innovative approach not only saves time but also enhances the accessibility and engagement of your material.
Description
Piper is a rapidly operating, localized neural text-to-speech (TTS) system that is particularly optimized for devices like the Raspberry Pi 4, aiming to provide top-notch speech synthesis capabilities without the dependence on cloud infrastructure. It employs neural network models developed with VITS and subsequently exported to ONNX Runtime, which facilitates both efficient and natural-sounding speech production. Supporting a diverse array of languages, Piper includes English (both US and UK dialects), Spanish (from Spain and Mexico), French, German, and many others, with downloadable voice options available. Users have the flexibility to operate Piper through command-line interfaces or integrate it seamlessly into Python applications via the piper-tts package. The system boasts features such as real-time audio streaming, JSON input for batch processing, and compatibility with multi-speaker models, enhancing its versatility. Additionally, Piper makes use of espeak-ng for phoneme generation, transforming text into phonemes before generating speech. It has found applications in various projects, including Home Assistant, Rhasspy 3, and NVDA, among others, illustrating its adaptability across different platforms and use cases. With its emphasis on local processing, Piper appeals to users looking for privacy and efficiency in their speech synthesis solutions.
API Access
Has API
API Access
Has API
Integrations
Google Podcasts
JSON
Medium
Python
Spotify
WordPress
YouTube
iTunes
Integrations
Google Podcasts
JSON
Medium
Python
Spotify
WordPress
YouTube
iTunes
Pricing Details
$8 per month
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Blogcast
Website
blogcast.host/
Vendor Details
Company Name
Rhasspy
Country
United States
Website
github.com/rhasspy/piper
Product Features
Text to Speech
API
Adjust Speaking Rate / Pitch
Audio Optimization
Custom Lexicons
Different Voice Choices
Multi-Language Support
Synchronize Speech
Product Features
Text to Speech
API
Adjust Speaking Rate / Pitch
Audio Optimization
Custom Lexicons
Different Voice Choices
Multi-Language Support
Synchronize Speech