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openai-edge-tts

travisvn/openai-edge-tts

Free text-to-speech API for edge computing

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

45views this month

2.1k stars317 forksLast push Jul 1, 2025 Python GPL-3.0

Decision brief

openai-edge-tts is a text-to-speech API endpoint for edge computing. It replaces cloud-based solutions like OpenAI.

Good fit when

  • You need text-to-speech services locally without relying on the internet or external APIs.
  • Looking to reduce latency and improve privacy by keeping data local.

Avoid when

  • Requires self-management of a Docker environment for setup and maintenance.
  • Does not support as many out-of-the-box audio formats without including FFmpeg.

Observed Jul 17, 2026 · Source: enrich:decision_facts

Verify the decision

Adoption

Package downloads where a registry match exists. GitHub stars (2,106) are secondary evidence.

Docker Hub pulls (30d)
308,055·Docker Hub API·Sep 20, 2026

Maintenance and security

Full trust report
Maintenance
Dormant (445d since push)
As of Sep 20, 2026
Provenance
Not a fork · Personal account
As of Sep 20, 2026
Security (OSV)
No criticals
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install openai-edge-tts
PyPI

Similar 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

Provides high-quality TTS services locally to replace cloud-based TTS solutions like OpenAI.

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Sep 20, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Sep 20, 2026

Languages
python

Source: github.language · Sep 20, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

pip install -r requirements.txt
Source link

Tags

README

⚡️ Quick start The simplest way to get started without having to configure anything is to run the command below This will run the service at port 5050 with all the default configs (Docker required, obviously) Installation 1. Clone the Repository : 2. Environment Variables : Creat...

For agents

This page has a .md twin and JSON over the API.

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