A guide to AI audio models spanning text-to-speech, speech-to-text, and music generation. Audio models are not yet tracked in our live rankings, but this page covers the major players and what to expect as the space evolves.
We are working on adding audio model rankings to LM Market Cap. Most audio AI models currently operate through their own platforms or specialized APIs. As standardized benchmarks and unified API access expand, we will include scored rankings for TTS, STT, and music generation models.
AI models that convert text into natural-sounding speech. Modern TTS systems produce near-human quality audio with control over voice, emotion, speed, and language.
Industry-leading voice synthesis with ultra-realistic quality, voice cloning, and multi-language support. Offers an extensive API with streaming, voice design, and dubbing capabilities.
High-quality text-to-speech from OpenAI with multiple voice options. Available through the OpenAI API with simple integration and natural-sounding output.
Open-source text-to-audio model from Suno that generates realistic speech, music, and sound effects. Supports multiple languages and speaker presets.
Open-source deep learning toolkit for text-to-speech. Supports many TTS models and vocoders with voice cloning capabilities.
AI models that transcribe spoken audio into text. These range from open-source models like Whisper to enterprise APIs with real-time streaming, speaker diarization, and audio intelligence features.
State-of-the-art open-source speech recognition model trained on 680K hours of multilingual audio. Supports transcription and translation across 99 languages.
Enterprise speech recognition API with real-time and batch transcription. Known for speed, accuracy, and custom model training capabilities.
AI-powered speech-to-text API with built-in audio intelligence features including summarization, sentiment analysis, and topic detection.
Google's speech recognition service with support for 125+ languages, real-time streaming, and medical and telephony-optimized models.
AI models that compose music from text descriptions, melodies, or other conditioning inputs. The music AI space is rapidly evolving with models that can generate full songs, instrumentals, and sound effects.
Open-source music generation model from Meta AI. Produces high-quality music from text descriptions or melody conditioning. Multiple model sizes available.
AI music generation platform that creates complete songs with vocals, instruments, and lyrics from text prompts. Rapid iteration and diverse genre support.
AI music creation tool capable of generating high-fidelity music across genres. Supports detailed control over style, vocals, and song structure.
Audio generation model from Stability AI for creating music and sound effects from text descriptions. Supports variable-length audio output.
Converts written text into spoken audio. Key differentiators include voice naturalness, multilingual support, voice cloning ability, and latency for real-time applications. Pricing typically scales by character count or audio duration.
Transcribes spoken audio into written text. Evaluated on word error rate (WER), language coverage, real-time capability, and additional features like speaker identification, sentiment analysis, and summarization.
Creates music from text descriptions, hummed melodies, or style parameters. Models differ in audio quality, genre diversity, control granularity, song length, and whether they can generate vocals alongside instruments.
Explore image generation, video AI, and model comparisons across all modalities.
AI audio models handle speech-to-text (transcription), text-to-speech (voice synthesis), and audio processing tasks. Leading models include OpenAI Whisper for transcription, ElevenLabs for voice synthesis, and Google Cloud Speech-to-Text.
OpenAI Whisper is widely regarded as the leading open-source speech-to-text model, supporting 99 languages. For commercial use, Google Cloud Speech-to-Text and AWS Transcribe are popular alternatives with enterprise features.
Yes. OpenAI Whisper is open-source and can be self-hosted for free. Several providers offer free tiers for speech-to-text and text-to-speech with limited usage. Our tracker shows pricing for all available audio models.