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ElevenLabs vs Whisper

ElevenLabs and Whisper 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

AttributeElevenLabsWhisper
Product statusStatus not recordedStatus not recorded
VendorElevenLabsOpenAI
Rating★ 4.7★ 4.7
PricingFreemiumFree
PlatformsWeb, APISelf-hosted, CLI, Python
Key featuresWeb and API TTS, Instant and Professional cloning, Model-dependent languagesMultilingual transcription and language detection, English translation with supported models, CLI/Python and selectable model sizes
Headquarters——
Launched——
Open sourceNoYes

Key differences

  • ElevenLabs and Whisper carry the same editorial score (4.7★).
  • ElevenLabs is Freemium, while Whisper is Free.
  • Whisper is open source (its code is public), while ElevenLabs is proprietary.
  • ElevenLabs runs on Web, API; Whisper runs on Self-hosted, CLI, Python.

ElevenLabs and Whisper at a glance

ElevenLabs

ElevenLabs

Hosted text-to-speech and authorized voice cloning through web tools and an API, with model- and plan-dependent options.

Rating
4.7★
Pricing
Freemium

Editorial verdict

Consider ElevenLabs for hosted voice workflows when you can verify voice rights, review outputs and budget for model-specific credits. Establish quality on your own language samples before choosing a plan.

Strengths

  • Web and API text-to-speech workflows are documented
  • Instant and Professional cloning have distinct documented requirements
  • Billing documentation explains model- and channel-dependent credit use

Key features

  • Web and API TTS
  • Instant and Professional cloning
  • Model-dependent languages
  • Credit-based generation

Best for

  • Drafting narration with authorized text and voice, followed by human audio review
  • Prototyping API voice features with model-specific credit and retry limits
  • Comparing Instant and Professional cloning requirements before an authorized voice project
Read the full ElevenLabs review →

Whisper

OpenAI

Whisper is OpenAI's downloadable speech-recognition code and models for multilingual transcription and translation into English, with local deployment options.

Rating
4.7★
Pricing
Free

Editorial verdict

Consider Whisper when you can operate and evaluate an ASR pipeline, and review the transcript against the recording.

Strengths

  • Downloadable code and official weights
  • Model sizes and task limits are documented

Key features

  • Multilingual transcription and language detection
  • English translation with supported models
  • CLI/Python and selectable model sizes

Best for

  • Reviewable subtitle drafts
  • Local transcription pipelines
  • Speech-to-English translation with suitable models
Read the full Whisper review →

Feature overlap

  • The two tools have no listed features in common — see both feature lists above.
  • ElevenLabs also lists: Web and API TTS, Instant and Professional cloning, Model-dependent languages, Credit-based generation
  • Whisper also lists: Multilingual transcription and language detection, English translation with supported models, CLI/Python and selectable model sizes

Frequently asked questions

Is ElevenLabs or Whisper better?

ElevenLabs and Whisper carry the same editorial score (4.7★), so the better choice depends on your needs — see the feature and platform comparison above.

Which is cheaper, ElevenLabs or Whisper?

ElevenLabs is Freemium and Whisper is Free. Check each product page for current plan details.

Are ElevenLabs and Whisper open source?

Whisper is open source, while ElevenLabs is proprietary.

What platforms do ElevenLabs and Whisper support?

ElevenLabs supports Web, API; Whisper supports Self-hosted, CLI, Python.

What are the main features of ElevenLabs and Whisper?

ElevenLabs: Web and API TTS, Instant and Professional cloning, Model-dependent languages, Credit-based generation. Whisper: Multilingual transcription and language detection, English translation with supported models, CLI/Python and selectable model sizes.

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