Catalogue reference

ElevenLabs vs Whisper

Compare batch transcription with ElevenLabs Scribe v2 and locally run Whisper. Read the model, billing and test scope before choosing.

This pair has not received a complete editorial comparison. No numerical winner is inferred from catalogue information.

Compare specific plans & costs →

What each product is for

ElevenLabs

For this comparison, ElevenLabs means Scribe v2 batch speech-to-text. Its voice-generation products and Scribe Realtime solve different jobs.

Speech-to-text documentation read 10 October 2026. It documents word timestamps, speaker labels and keyterm prompting; these have not been tested here.

Written evaluation and evidence →

Whisper

Open-source speech recognition with local model execution. This page scopes Whisper to the official Python implementation and the turbo model, rather than an unspecified hosted API.

Official repository read 10 October 2026; no transcription run performed.

Tool profile and evidence →

Check the missing evidence

The documented execution and billing differences below narrow this pair to a useful transcription trial. They do not establish a current accuracy winner.

  • Identify the specific workflow and confirm the required action or feature in official documentation.
  • Price the actual account in its currency and billing cycle, including usage and add-ons.
  • Try the same task in both tools, inspect failures and confirm the data export route.
Make a trial worksheet →

Transcription price and configuration

Official sources read 10 October 2026. Published rates and documented requirements, not measured invoices or a quality benchmark.
ScopeScribe v2 batchLocal Whisper turbo
Published costUSD $0.22 per audio hour on the API pricing page. Keyterm prompting lists $0.05/hour and experimental transcript editing $0.07/hour. Confirm subscription, included usage and account terms separately.MIT-licensed code and model weights; no licence fee is stated. Hardware, hosting, electricity and maintenance are separate costs.
Different executionHosted API. Scribe v2 Realtime is a distinct product with a $0.39/hour published rate.The official README lists roughly 6 GB VRAM for turbo. Its relative-speed figures use an A100 and are not measurements on your machine.
SourcesAPI pricing · Transcription documentationOfficial Whisper repository

Whisper turbo is intended for transcription; the README directs translation tasks to other multilingual models. Pin the model and package revision in any trial. Do not compare a real-time latency claim with a batch-file runtime.

Run a comparable transcription trial

No native Scribe or Whisper task has been executed for this comparison. There is no accuracy winner, measured latency or observed bill. Documentation narrows the trial; it cannot supply its results.

  1. Choose audio you have permission to process and write a checked reference transcript. Include the accents, names and noise in your real work.
  2. Save the audio hash, model identifier, package or API configuration, language settings and whether either system cleans disfluencies.
  3. Keep raw transcripts. Measure word error rate with the same normalization, then separately check speaker labels, names and timestamps.
  4. Record wall time, retries, manual correction minutes and the actual invoice or local resource assumptions.

Use the word error rate worksheet · Estimate complete transcription costs

Editorial coverage

At least one profile has no applicable recorded editorial criteria. Undated opinions and catalogue estimates do not establish current comparative quality. This page carries no automated score or projected rank.

Read the criteria policy →

Edited by Clinton Feyisitan · Evidence policy · Suggest a correction