Voxtral-Mini-4B-Realtime-2602-gguf is an open-source automatic speech recognition (ASR) model supporting 13 languages. Below are 7 voice, tts & speech apps with similar functionality to Voxtral Mini 4B Realtime 2602, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
Voxtral-Small-24B-2507 is an open-source model for audio-to-text and text generation tasks. It is suitable for researchers and developers working on speech and text processing applications.
Voxtral is a web application that allows users to upload audio files, select a transcription model and language, and receive written text output. It is suitable for students, professionals, and anyone needing accurate speech-to-text conversion.
Voxtral is an open-source AI-powered platform that converts audio and video files into text, supporting over 100 languages. It offers high-accuracy transcription, an API for integration, and is community-driven, making it suitable for developers, researchers, and businesses requiring scalable speech-to-text solutions.
gigaam-v3-rnnt-gguf is an open-source automatic speech recognition model for Russian, distributed in GGUF format for use with transcribe.cpp and similar tools. It uses RNN-T decoding and supports quantized variants for efficient offline transcription.
gigaam-v3-e2e-ctc-gguf is an open-source Russian automatic speech recognition model using CTC decoding, distributed in GGUF format for use with local inference tools. It supports quantized variants for efficient offline transcription.
gigaam-v3-e2e-rnnt-gguf is an open-source Russian ASR model using RNN-T decoding, distributed in GGUF format for local inference. It is suitable for developers and researchers needing efficient offline speech-to-text solutions.
gigaam-v3-ctc-gguf is an open-source Russian ASR model using CTC decoding, distributed in GGUF format for use with local inference tools. It supports quantized variants for efficient offline transcription.
