edge-tts: Python TTS Using Microsoft Edge Online Service

Fri, 01 May 2026 00:00:00 +0000

High-quality text-to-speech usually requires expensive cloud APIs or complex local model setup. Edge-TTS, created by rany2, takes a clever approach: it taps into Microsoft Edge’s built-in online TTS service, providing free access to hundreds of natural-sounding voices across dozens of languages.

The tool is a simple Python CLI that transforms text into audio files using the same neural TTS voices available in Microsoft Edge’s browser read-aloud feature. With support for SSML, voice tuning, and subtitle generation, it punches far above its weight as a free, open-source TTS solution.

Voice and Language Support

Language	Male Voices	Female Voices	Quality
English (US)	8	10	Neural high
English (UK)	5	6	Neural high
Chinese (Mandarin)	4	5	Neural high
Japanese	3	4	Neural high
Spanish	4	5	Neural high
French	3	4	Neural high
German	3	4	Neural high
Total across 60+ languages	100+	200+	Neural

Audio Generation Pipeline

flowchart LR
 A[Text Input] --> B{Format}
 B -->|Plain Text| C[Text Segmentation]
 B -->|SSML| D[SSML Parsing]
 C --> E[Voice Selection]
 D --> E
 F[Voice Parameters] --> E
 E --> G[Edge TTS API Request]
 G --> H[Audio Stream]
 H --> I[MP3/WAV Output]
 H --> J[SRT/VTT Subtitles]

The pipeline handles both plain text and SSML input. SSML allows fine-grained control over pronunciation, pitch, rate, and emphasis. The audio stream from Edge’s API is saved as MP3 or WAV, and subtitles can be generated with word-level timing.

Microsoft Edge on SoloSoft

edge-tts: Python TTS Using Microsoft Edge Online Service

Voice and Language Support

Audio Generation Pipeline