GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
speech-to-speech is an open-source Python package geared towards building localized voice agents via real-time and pre-recorded audio processing.
Good fit when
- When you need to leverage open-source components for real-time speech processing in your projects, as speech-to-speech provides an integrated solution with Parakeet TDT for STT.
- For developers who intend to develop voice agents that require flexible deployment options, including both local audio and real-time server modes.
Avoid when
- When the need arises for a voice agent solution that exclusively utilizes proprietary models or services, as speech-to-speech depends fully on open-source components.
- For projects aiming to run exclusively under macOS without cross-platform capabilities, despite automatic dependency resolution between different platforms.
- Pricing:
- freemium - Free and open-source software under the Apache-2.0 license, with possible premium services based on usage or special features not covered in this repository.
- Requirements:
- Min 4 GB RAM; Requires Docker; Docker setup may require additional resources and the installation of the NVIDIA Container Toolkit for non-standard setups.
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (1d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Backing
Company context for Hugging Face. Display-only - separate from trust and ranking.
- Company
- Hugging Face·GitHub org profile·Jul 11, 2026
- Employees
- 160·Wikidata (P1128 employees)·Jul 11, 2026
- Funding
- $235,000,000 (2023-08)·GraphCanon curated seed (public press)·Jul 11, 2026
- Commercial model
- OSS + managed cloud·GraphCanon curated seed·Jul 11, 2026
Install
pip install speech-to-speechSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Package for creating localized speech-to-speech systems utilising open-source components for real-time and pre-recorded audio processing.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Sep 20, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 20, 2026
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 20, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 20, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
Use Python 3.10+ (Python 3.11 recommended) and install the package in a virtual environment.Source link
Tags
README
Install for these examples Use Python 3.10+ (Python 3.11 recommended) and install the package in a virtual environment. On Ubuntu, install the local audio libraries first: . The default Linux Qwen3 TTS wheel targets CUDA 12.8 and glibc 2.39 (Ubuntu 24.04); check the CUDA installa...
For agents
This page has a .md twin and JSON over the API.