murmure is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named murmure among their alternatives. The relationship is not symmetric — how murmure rates them is a separate judgement, made when murmure is analysed in its own right.
calls murmure “Rust-native STT with LLM post-processing, if you prefer Rust and built-in refinement.”
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
calls murmure “choose when you want a local STT-only tool with LLM post-processing in Rust.”
Very low latency speech to text, intent recognition, and text to speech, for building voice agents and interfaces
calls murmure “A local dictation app that adds LLM post-processing, not a developer SDK.”
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages
calls murmure “Choose when you want a standalone local STT app with LLM post-processing, not a library.”
A PyTorch-based Speech Toolkit
calls murmure “when you want a ready local STT app/CLI with LLM post-processing rather than a server to integrate”
Real-time, local speech-to-text with streaming ASR, speaker diarization, translation, and OpenAI/Deepgram-compatible APIs.