Microphone in a recording studio for voice and audio production

AI Voice and Text-to-Speech Tools Compared

/ Arvid Andersson

AI voice technology has moved from robotic-sounding synthesis to natural, expressive speech. Whether you need text-to-speech for a voice assistant, voice cloning for content localization, or speech recognition for transcription, the tooling is now production-ready. This post compares the major platforms and what each is built for.

Text-to-speech

ElevenLabs has become the default choice for many teams building TTS features. It offers high-quality voices across 29 languages, with a voice library and voice cloning from short audio samples. The API supports streaming with low latency, making it suitable for real-time applications. Pricing is per-character with tiered plans.

Resemble AI focuses on enterprise use cases. It offers voice cloning from as little as 10 seconds of audio (a recent upgrade from their previous 3-minute requirement), real-time streaming TTS, and an unusual feature: deepfake audio detection via Resemble Detect. The detection tool analyzes audio to determine whether it was generated by AI, which is useful for security-sensitive applications. Resemble also open-sourced their Chatterbox TTS model family under the MIT license.

OpenAI offers TTS through its API with a small set of high-quality voices. It's the simplest option if you're already using the OpenAI API for other tasks, but the voice customization options are limited compared to dedicated TTS platforms.

Speech recognition

Deepgram specializes in speech-to-text with its Nova model family. It handles real-time transcription via WebSocket streaming, batch transcription, and offers features like speaker diarization, punctuation, and language detection. Deepgram positions itself on accuracy and speed for production workloads, particularly for call centers, meeting transcription, and media processing. They also recently added TTS capabilities.

AssemblyAI is another strong option for speech-to-text. Beyond transcription, it offers audio intelligence features like sentiment analysis, topic detection, entity recognition, and content moderation built on top of the transcription output. If you need to extract structured information from audio (not just text), AssemblyAI's pipeline approach can save you from chaining multiple tools together.

Music and audio generation

Suno takes a different approach entirely, generating full songs (vocals, instruments, lyrics) from text prompts. It's aimed at creative applications rather than production speech workflows.

Key considerations

Latency: For voice assistants and conversational AI, time-to-first-audio matters. ElevenLabs and Resemble AI both support streaming TTS with latencies suitable for real-time conversation. Batch processing is fine for content creation but not for interactive use cases.

Voice cloning: If you need custom voices (branded voice, specific speaker), both ElevenLabs and Resemble AI offer cloning. Resemble's rapid cloning from 10-second samples is faster to set up, while longer recordings generally produce better quality across both platforms.

Language support: Coverage varies significantly. ElevenLabs supports 29 languages, Resemble AI claims 149+ for speech-to-speech voices (though quality varies by language), and Deepgram supports 30+ languages for transcription.

Open-source alternatives: Resemble AI's Chatterbox models (MIT-licensed) are worth considering if you want to self-host TTS. Chatterbox Turbo handles single-language synthesis, while Chatterbox Multilingual covers 23 languages.

Comparison

Tool Primary function Voice cloning Streaming
ElevenLabs TTS, voice library Yes Yes
Resemble AI TTS, voice cloning, deepfake detection Yes (10s sample) Yes
Deepgram Speech-to-text, TTS No Yes
OpenAI TTS (part of broader API) No Yes
AssemblyAI Speech-to-text, audio intelligence No Yes
Suno Music generation No No

How to choose

For most TTS use cases, ElevenLabs is the safe bet with the widest feature set. If you need enterprise features like deepfake detection, on-premise deployment, or open-source models, Resemble AI is worth evaluating. For speech-to-text, Deepgram and AssemblyAI are the two dedicated options. Deepgram focuses on speed and accuracy, while AssemblyAI adds audio intelligence features on top of transcription. If you're already on the OpenAI API, their TTS works for simple use cases without adding another provider.

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