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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Piper serves as an AI operating system specifically designed for preconstruction, catering to the needs of general contractors' pursuit and estimating teams. By integrating drawings, specifications, addenda, quotes, estimates, and organizational knowledge, Piper enables teams to create detailed scopes, assess bids, and evaluate risks, with each insight traceable to its original drawing, specification clause, or addendum. Scope Generation allows teams to convert drawings, specifications, addenda, and company standards into backed trade scopes, ensuring clarity on what is expected from each trade. Bid Leveling facilitates the comparison of subcontractor bids against the defined scope, preventing the lowest price from overshadowing potential costly omissions. Final Bid Review provides a framework for assessing the estimate in relation to the actual project, allowing senior team members to focus on areas that require further evaluation. Survey functionality turns the company's accumulated experience into a consistent process, capturing valuable lessons learned from each project. It is important to note that Piper is not merely a takeoff or estimating calculator and does not substitute the critical judgment of estimators. This ensures that while Piper streamlines processes, it still values the expertise and insights provided by seasoned professionals.

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

Screenshots View All

No images available

Screenshots View All

Integrations

JSON
Python

Integrations

JSON
Python

Pricing Details

No price information available.
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

Piper

Country

United States

Website

piper-ai.com

Vendor Details

Company Name

Rhasspy

Country

United States

Website

github.com/rhasspy/piper

Product Features

Product Features

Text to Speech

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

Alternatives

Alternatives

MAI-Voice-2 Reviews

MAI-Voice-2

Microsoft AI
BuildPiper Reviews

BuildPiper

Opstree Solutions