ElevenLabs Scribe vs WhisperX

ElevenLabs Scribe is freemium — a usable free tier with paid plans above it. WhisperX is free, with no paid plan attached. Both are listed under Speech & Transcription Engines, so this is a like-for-like comparison. Neither is ranked above the other — Flocci carries no sponsored placement.

ElevenLabs Scribe vs WhisperX — straight answers

ElevenLabs Scribe vs WhisperX: what is the difference?

ElevenLabs Scribe is freemium — a usable free tier with paid plans above it and is listed for scribe v2 Realtime transcribes in under 150ms latency. WhisperX is free, with no paid plan attached and is listed for 70x real-time transcription speed via batched inference on top of Whisper. Both sit in Speech & Transcription Engines.

Is ElevenLabs Scribe or WhisperX cheaper to start with?

WhisperX is the cheaper starting point: it is free, with no paid plan attached, while ElevenLabs Scribe is freemium — a usable free tier with paid plans above it. Pricing tiers here come from the catalog, not from a promotional page.

Which should I choose, ElevenLabs Scribe or WhisperX?

Choose ElevenLabs Scribe if you need scribe v2 Realtime transcribes in under 150ms latency; choose WhisperX if you need 70x real-time transcription speed via batched inference on top of Whisper. Flocci AI Tools does not rank one above the other — it shows both feature sets side by side and lets the requirement decide.

ElevenLabs Scribe compared with WhisperX: pricing tier, category, listed capabilities and links.
 ElevenLabs ScribeWhisperX
Pricing tierFree tier + paid plansFree
Free to startYesYes
CategoryAI Models & Local ExecutionAI Models & Local Execution
TypeSpeech & Transcription EnginesSpeech & Transcription Engines
Listed capabilities
  • 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
  • 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
Tagselevenlabs scribe, speech to text, real time transcription, auto captions, speaker diarization, freewhisperx, whisper diarization, word level timestamps, open source transcription, speaker diarization, free
Websiteelevenlabs.iogithub.com
Full pageElevenLabs Scribe details →WhisperX details →
AlternativesElevenLabs Scribe alternatives →WhisperX alternatives →

NVIDIA Canary-Qwen 2.5B

Speech & Transcription Engines
freeNew
  • 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

NVIDIA Parakeet

Speech & Transcription Engines
free
  • 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

sherpa-onnx

Speech & Transcription Engines
freeNew
  • 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

faster-whisper

Speech & Transcription Engines
freeNew
  • Whisper reimplementation on CTranslate2, up to 4x faster with less memory
  • int8 quantization for GPU and CPU
  • MIT licensed Python library

FunASR

Speech & Transcription Engines
freeNew
  • 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

Moonshine

Speech & Transcription Engines
freeNew
  • Small streaming speech-recognition models for phones, browsers and low-power devices
  • Low latency for live voice interfaces
  • Free open-source weights and runtime