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ElevenLabs v3 vs WhisperX

ElevenLabs v3 and WhisperX are both Audio Generation tools in our directory. This side-by-side comparison covers pricing, editorial scores, supported platforms, key features and open-source status so you can decide which one fits your needs.

Side-by-side comparison

AttributeElevenLabs v3WhisperX
Product statusStatus not recordedStatus not recorded
VendorElevenLabsWhisperX community
Rating★ 4.7★ 4.6
PricingPaidFree
PlatformsWeb, APILibrary, Python
Key featuresAudio tags for delivery direction, Multi-speaker dialogue, 70+ documented languagesForced alignment and word timestamps, Optional pyannote speaker labels, Batched faster-whisper backend
Headquarters——
Launched——
Open sourceNoYes

Key differences

  • ElevenLabs v3 carries the higher editorial score (4.7★ vs 4.6★).
  • ElevenLabs v3 is Paid, while WhisperX is Free.
  • WhisperX is open source (its code is public), while ElevenLabs v3 is proprietary.
  • ElevenLabs v3 runs on Web, API; WhisperX runs on Library, Python.

ElevenLabs v3 and WhisperX at a glance

ElevenLabs v3

ElevenLabs

Previous-generation ElevenLabs speech model with audio tags and multi-speaker dialogue, accessed through hosted text-to-speech tools or API.

Rating
4.7★
Pricing
Paid

Editorial verdict

Use the exact v3 model and voice terms when maintaining an existing workflow, and budget UI credits separately from API characters.

Strengths

  • Documented dialogue and delivery controls
  • UI and API access paths

Key features

  • Audio tags for delivery direction
  • Multi-speaker dialogue
  • 70+ documented languages

Best for

  • Reviewed character dialogue
  • Narration drafts
  • Multilingual voiceover evaluation
Read the full ElevenLabs v3 review →

WhisperX

WhisperX community

WhisperX combines Whisper-based transcription, forced alignment for word timestamps and optional speaker diarization in a self-managed pipeline.

Rating
4.6★
Pricing
Free

Editorial verdict

Consider WhisperX for reviewable timed transcripts when you can manage each model, dependency and access condition.

Strengths

  • Transcription, alignment and speaker stages are explicit
  • Configurable local processing pipeline

Key features

  • Forced alignment and word timestamps
  • Optional pyannote speaker labels
  • Batched faster-whisper backend

Best for

  • Subtitle alignment drafts
  • Speaker-labelled interview transcripts
  • Audio corpus preparation with review
Read the full WhisperX review →

Feature overlap

  • The two tools have no listed features in common — see both feature lists above.
  • ElevenLabs v3 also lists: Audio tags for delivery direction, Multi-speaker dialogue, 70+ documented languages
  • WhisperX also lists: Forced alignment and word timestamps, Optional pyannote speaker labels, Batched faster-whisper backend

Frequently asked questions

Is ElevenLabs v3 or WhisperX better?

By editorial score, ElevenLabs v3 scores higher (4.7★ vs 4.6★). Both are capable Audio Generation tools, so review the feature comparison for your use case.

Which is cheaper, ElevenLabs v3 or WhisperX?

ElevenLabs v3 is Paid and WhisperX is Free. Check each product page for current plan details.

Are ElevenLabs v3 and WhisperX open source?

WhisperX is open source, while ElevenLabs v3 is proprietary.

What platforms do ElevenLabs v3 and WhisperX support?

ElevenLabs v3 supports Web, API; WhisperX supports Library, Python.

What are the main features of ElevenLabs v3 and WhisperX?

ElevenLabs v3: Audio tags for delivery direction, Multi-speaker dialogue, 70+ documented languages. WhisperX: Forced alignment and word timestamps, Optional pyannote speaker labels, Batched faster-whisper backend.

Visit ElevenLabs v3 →Visit WhisperX →

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