OpenAI Whisper
Speech & Transcription Engines
- Open-source speech-to-text, run locally free
- 99+ languages and translation
- Robust to accents and noise
- Powers countless apps
AI Models & Local Execution (15)
15 free speech and transcription engines and 0 more — pricing tier and real capabilities on every entry. No ads, no sponsored placement.
AllLocal LLM RunnersModel Hosting & Inference APIsNotable Open ModelsSpeech & Transcription EnginesFine-Tuning & Training FrameworksLLM Eval & ObservabilityLeaderboards & BenchmarksRobotics & Embodied AI
free
Deepgram
Speech & Transcription Engines
- Fast, accurate speech-to-text API
- Real-time streaming and diarization
- Voice-agent building blocks
- Free credits to start
AssemblyAI
Speech & Transcription Engines
- Speech-to-text with audio intelligence
- Summaries, topics and sentiment
- Speaker diarization
- Free tier for developers
NVIDIA Parakeet
Speech & Transcription Engines
- Tops the Hugging Face Open ASR Leaderboard with 6.05% average WER at 0.6B params
- CC-BY-4.0 license, free for commercial and non-commercial use
- RTFx ~3,386 — extremely fast inference relative to accuracy
Mistral Voxtral
Speech & Transcription Engines
- Apache 2.0 open-weight models (24B and 3B) downloadable from Hugging Face
- Built-in Q&A/summarization over audio, not just raw transcription
- Function-calling directly from voice input for agent workflows
Speechmatics
Speech & Transcription Engines
- Free starting credit with no card required, 56+ language support
- Model-training discount program cuts costs 33% for data-sharing customers
- On-premises/VPC deployment for privacy-sensitive enterprise use
Soniox
Speech & Transcription Engines
- Real-time speech-to-text priced well under typical competitor rates
- Combines transcription + translation in one streaming API call
- Diarization and speech translation bundled at no extra cost
ElevenLabs Scribe
Speech & Transcription Engines
- Scribe v2 Realtime transcribes in under 150ms latency
- Dynamic audio-event tagging (laughter, footsteps) beyond plain words
- Keyterm prompting locks in up to 1,000 specified terms for accuracy
WhisperX
Speech & Transcription Engines
- 70x real-time transcription speed via batched inference on top of Whisper
- Adds wav2vec2 forced alignment for accurate word-level timestamps Whisper lacks natively
- Built-in speaker diarization and VAD preprocessing to cut hallucinations
- Open-source speech recognition toolkit with Paraformer and SenseVoice models
- Streaming ASR, VAD, punctuation and speaker diarization
- Strong Mandarin and multilingual accuracy
- Runs on CPU or GPU, MIT-style license
- C/C++ port of OpenAI Whisper running on CPU, Metal, Core ML, CUDA and Vulkan
- Runs on phones, Raspberry Pi and browsers via WASM
- MIT licensed
- Whisper reimplementation on CTranslate2, up to 4x faster with less memory
- int8 quantization for GPU and CPU
- MIT licensed Python library
- Small streaming speech-recognition models for phones, browsers and low-power devices
- Low latency for live voice interfaces
- Free open-source weights and runtime
- Offline speech-to-text, text-to-speech, VAD and speaker diarization without internet
- Runs on Android, iOS, Raspberry Pi, WebAssembly and desktop with many language bindings
- Apache-2.0
- Speech-recognition plus LLM hybrid model that transcribes and can summarize or answer questions about audio
- Topped the Hugging Face Open ASR leaderboard at release (English)
- CC-BY-4.0 weights
Speech & Transcription Engines — straight answers
What are the best free speech and transcription engines?
Flocci AI Tools lists 15 speech and transcription engines, ordered free tiers first: NVIDIA Canary-Qwen 2.5B, NVIDIA Parakeet, sherpa-onnx, faster-whisper and FunASR. All of them are free or have a free tier. Every entry states what it uniquely does, not a score.
Are there completely free speech and transcription engines?
Yes — 9 of these are marked fully free with no paid plan attached: NVIDIA Canary-Qwen 2.5B, NVIDIA Parakeet, sherpa-onnx, faster-whisper and FunASR. The rest are freemium, trial or paid, and each row states which.
What should I look for in speech and transcription engines?
Start with what you need to do: turn audio into accurate text, often offline. Then check the pricing tier, because "free" here means no paid plan at all while "freemium" means a free tier under paid plans. Every tool on this page lists both.
See the full list →Head-to-head comparisons
NVIDIA Canary-Qwen 2.5B vs NVIDIA ParakeetNVIDIA Canary-Qwen 2.5B vs sherpa-onnxfaster-whisper vs NVIDIA Canary-Qwen 2.5BFunASR vs NVIDIA Canary-Qwen 2.5BMoonshine vs NVIDIA Canary-Qwen 2.5BNVIDIA Parakeet vs sherpa-onnxfaster-whisper vs NVIDIA ParakeetFunASR vs NVIDIA Parakeet
Free alternatives
OpenAI Whisper alternativesDeepgram alternativesAssemblyAI alternativesNVIDIA Parakeet alternativesMistral Voxtral alternativesSpeechmatics alternativesSoniox alternativesElevenLabs Scribe alternatives
Looking for a ranked shortlist instead? See the best free speech and transcription engines.