# rany2/edge-tts

Use Microsoft Edge's online text-to-speech service from Python WITHOUT needing Microsoft Edge or Windows or an API key

Repository: https://github.com/rany2/edge-tts
Canonical: https://ross.abutalabs.com/products/edge-tts
Homepage: https://pypi.org/project/edge-tts/
Language: Python
License: NOASSERTION
License Family: other
Topics: tts, speech-synthesis, text-to-speech
Last push: 2026-03-22T19:58:31+00:00

## Health v2 (maintenance only)
Score: 79/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 73, release rhythm 75, longevity 100
- inputs: {"age_days": 1941, "days_push": 164, "days_rel": 164, "gap_med": 11.0, "n_releases_24m": 13}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 11803, forks 1084 (observed 2026-08-28T04:10:49.980098+00:00)

## What it is
A Python module and CLI that lets you use Microsoft Edge's online neural text-to-speech service without needing Edge, Windows, or an API key. It supports many voices and languages, can write audio files and subtitles, and includes an edge-playback command for immediate playback.

## Use cases
- convert text to speech mp3 from python
- generate narration audio with subtitles
- use microsoft neural voices without api key
- list available tts voices
- play synthesized speech from terminal
- add voiceover to videos or apps

## When to choose
- you want free high-quality neural TTS without an API key
- you need a simple Python API or CLI for text-to-speech
- you want multilingual voices with subtitle output

## When to avoid
- you need offline text-to-speech
- you require custom SSML control over prosody
- you need a guaranteed SLA since it relies on an unofficial Microsoft endpoint

## Facets
- artifact type: library
- maturity: active
- function: tts, cli, speech-recognition
- domain: speech-processing
- platform: python, cross-platform, cli
- tags: text-to-speech, microsoft-edge, neural-voices, subtitles, no-api-key, natural-language-processing, command-line

## Member repositories
- rany2/edge-tts (main) score 79

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:49.980098+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:15:18.585961+00:00, confidence not recorded.
  - readme: https://github.com/rany2/edge-tts (fetched 2026-08-28T04:10:49.980098+00:00, sha 6dc3fb5bed02)
  - homepage: https://pypi.org/project/edge-tts/ (fetched 2026-08-29T08:13:14.896783+00:00, sha 5f7465411f24)
  - registry_pypi: https://pypi.org/pypi/edge-tts/json (fetched 2026-08-29T08:13:14.905803+00:00, sha 1b4d4d26066c)
- Data as of 2026-08-30T08:39:29.467469+00:00.
