Amazon Polly vs Microsoft Azure Text to Speech
Pick Polly when you're already living in AWS and need TTS wired straight into Connect, Lambda, or S3 pipelines without onboarding a new vendor — Standard voices at $4/1M characters undercut everyone for bulk IVR prompts meets developers should use azure text to speech when building applications that require voice output, such as virtual assistants, audiobooks, accessibility tools for visually impaired users, or interactive voice response (ivr) systems. Here's our take.
Amazon Polly
Pick Polly when you're already living in AWS and need TTS wired straight into Connect, Lambda, or S3 pipelines without onboarding a new vendor — Standard voices at $4/1M characters undercut everyone for bulk IVR prompts
Amazon Polly
Nice PickPick Polly when you're already living in AWS and need TTS wired straight into Connect, Lambda, or S3 pipelines without onboarding a new vendor — Standard voices at $4/1M characters undercut everyone for bulk IVR prompts
Pros
- +Skip it for anything expressive or voice-cloned: ElevenLabs' voices beat Polly's Generative engine on naturalness in most side-by-side tests, and Polly has no instant voice-cloning-from-sample like ElevenLabs or Azure Custom Neural Voice
- +Related to: aws, aws-lambda
Cons
- -Specific tradeoffs depend on your use case
Microsoft Azure Text to Speech
Developers should use Azure Text to Speech when building applications that require voice output, such as virtual assistants, audiobooks, accessibility tools for visually impaired users, or interactive voice response (IVR) systems
Pros
- +It is particularly valuable for projects needing high-quality, customizable speech in multiple languages, with features like SSML (Speech Synthesis Markup Language) for fine-tuning pronunciation and prosody, and integration with other Azure services for end-to-end solutions
- +Related to: azure-cognitive-services, speech-synthesis
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use Amazon Polly if: You want skip it for anything expressive or voice-cloned: elevenlabs' voices beat polly's generative engine on naturalness in most side-by-side tests, and polly has no instant voice-cloning-from-sample like elevenlabs or azure custom neural voice and can live with specific tradeoffs depend on your use case.
Use Microsoft Azure Text to Speech if: You prioritize it is particularly valuable for projects needing high-quality, customizable speech in multiple languages, with features like ssml (speech synthesis markup language) for fine-tuning pronunciation and prosody, and integration with other azure services for end-to-end solutions over what Amazon Polly offers.
Pick Polly when you're already living in AWS and need TTS wired straight into Connect, Lambda, or S3 pipelines without onboarding a new vendor — Standard voices at $4/1M characters undercut everyone for bulk IVR prompts
Disagree with our pick? nice@nicepick.dev