The Best 30 Audio-to-Text Tools in 2025

Qwen2-Audio is the Tongyi Qianwen large audio language model series, supporting both voice chat and audio analysis interaction modes.

Qwen2-Audio is an advanced small-scale multimodal model that supports audio and text input, enabling voice interaction without relying on speech recognition modules.

Ultravox is a multimodal voice large language model built upon Llama3.3-70B and Whisper, supporting both voice and text inputs, suitable for scenarios like voice agents and translation.

Ultravox is a multimodal voice large language model based on Llama3.1-8B-Instruct and Whisper-medium, capable of processing both voice and text inputs simultaneously.

Lightweight audio model, excelling in speech recognition, audio understanding, and executing audio instructions among other diverse tasks

Ultravox is a multimodal model based on Mistral-Nemo and Whisper, capable of processing both speech and text inputs, suitable for tasks like voice agents and speech translation.

Ultravox is a large multimodal speech language model capable of understanding and processing speech input, supporting multiple languages and noisy environments.

The world's fastest and most efficient edge-deployable audio language model, a 2.6B parameter multimodal model capable of processing both text and audio inputs.

This is the 4-bit quantized version of Qwen2-Audio-7B-Instruct, developed based on Alibaba Cloud's original Qwen model. It is an audio-text multimodal large language model.

Ultravox is a multilingual audio-to-text model optimized based on the LLaMA-3-2.1B architecture, supporting speech recognition and transcription tasks in multiple languages.

Ultravox is a multimodal voice large language model built upon Llama3-8B-Instruct and Whisper-small, capable of processing both speech and text inputs.

R1-AQA is an audio question answering model based on Qwen2-Audio-7B-Instruct, optimized through Group Relative Policy Optimization (GRPO) algorithm, achieving state-of-the-art performance in the MMAU benchmark.

Ultravox is a multimodal speech large language model built on Llama3.1-8B-Instruct and whisper-large-v3-turbo, capable of processing both speech and text inputs.

Shuka v1 is a language model natively supporting Indian language audio understanding, combining a self-developed audio encoder with the Llama3-8B-Instruct decoder, enabling zero-shot multilingual question-answering tasks.

A multilingual audio-visual speech recognition model based on the MuAViC dataset, combining audio and visual modalities for robust performance

SeaLLMs-Audio is a large-scale audio language model targeting Southeast Asia. It supports five major languages: Indonesian, Thai, Vietnamese, English, and Chinese, and has capabilities such as audio analysis and voice interaction.

Gemma-3-MM is a multimodal instruction model extended from Gemma-3-4b-it with added speech processing capabilities, capable of handling text, image, and audio inputs to generate text outputs.

Pathumma-llm-audio-1.0.0 is an 8-billion-parameter Thai large language model specifically designed for audio comprehension tasks, capable of processing various audio inputs including speech, general audio, and music.

Typhoon-Audio Preview is a Thai and English audio-language model capable of processing text and audio inputs, with text outputs.

Static quantized version of Qwen2-Audio-7B-Instruct model, supporting English audio-to-text conversion tasks

Qwen-Audio-nf4 is the quantized version of Qwen-Audio, supporting multiple audio inputs and text outputs

AV-HuBERT is an audio-visual speech recognition model trained on the MuAViC multilingual audio-visual corpus, combining audio and visual modalities for robust performance.

Ultravox is a multimodal speech large language model, built upon the pre-trained Llama3.1-70B-Instruct and Whisper-medium backbones, capable of simultaneously receiving both speech and text as input.

A multimodal speech recognition model optimized for Singapore English, fine-tuned based on Microsoft's Phi-4 multimodal instruction model, significantly improving recognition of Singapore English's unique phonetic features.

The Llama3-S series model is a multimodal language model developed by Homebrew Research, natively supporting audio and text input comprehension, extending the speech understanding capability based on the Llama-3 architecture.

A Taiwanese Mandarin speech recognition model fine-tuned from microsoft/Phi-4-multimodal-instruct, trained on the Taiwanese Mandarin General Voice 19.0 dataset

Ultravox is a multimodal speech large language model based on Llama3.3-70B-Instruct and whisper-large-v3-turbo, capable of processing both speech and text inputs.

This is an experimental model that converts audio waveforms into ASCII art and then fine-tunes the Mistral model to predict text.

Ultravox is a multimodal speech large language model based on Llama3.1-8B-Instruct and Whisper-small, capable of processing both speech and text inputs.

Llama3-S is a multimodal language model supporting both audio and text inputs, developed based on the Llama-3 architecture with a focus on enhancing speech understanding capabilities.