TranscribeX runs several families of speech recognition models on your Mac. Which one is best depends on your language, how fast you need results, and whether you need timestamps and speaker labels. Start with the quick picks, then use the table for details.

Quick picks

Set the model new jobs use in Settings › Transcription › Default Model, or change it for one file in the job’s model menu.

Our speed and accuracy test

We ran the same 8-minute English recording through five models on an M4 Pro Mac. Lower WER (word error rate) is better.

ModelWord error rateTime for 8 min of audioFaster than real timePlan
Whisper Tiny10.2%6.5 s74×Free
Whisper Large V33.4%100 s5×Pro
Parakeet V22.8%16 s30×Pro
Qwen3 ASR 0.6B (8-bit)4.8%––Pro
Apple On-Device2.8%6.3 s77×Free

Our own test, run October 17, 2026 on a Mac with an Apple M4 Pro chip and 24 GB of memory, macOS 27.0.1. Audio: 73 clean read-speech clips from the LibriSpeech validation set (hf-internal-testing/librispeech_asr_dummy on Hugging Face), joined into one 8-minute file, 1,150 reference words. Each model was run twice through the TranscribeX command line and the second run is shown; times are end to end, including loading the model. Word error rate uses simple normalization (lowercase, punctuation removed). Clean read speech is easier than a real meeting, so expect higher error rates on your own calls, and treat differences under one point as noise on a sample this size. Qwen3 ASR was not timed in this round; Whisper Large V3 Turbo, Parakeet V3 and Nemotron were not part of it.

For leaderboard numbers and deeper comparisons, see speech recognition models.

Every model for file transcription

Sizes are download sizes as shown in the app. “Recommended” matches the badge in the model list.

ModelSizeLanguagesPlanNotes
Apple On-DeviceBuilt in30 languages and regional variantsFreeNeeds macOS 26. macOS downloads the language on first use.
Whisper Tiny76 MB97 + auto-detectFreeFastest Whisper, lowest accuracy
Whisper Tiny EN153 MBEnglishPro
Whisper Base / Base EN147 MB97 / EnglishPro
Whisper Small / Small EN483 MB97 / EnglishPro
Whisper Medium / Medium EN1.5 GB97 / EnglishPro
Whisper Large V23.1 GB97 + auto-detectPro
Whisper Large V2 Turbo3.1 GB97 + auto-detectPro
Whisper Large V33.1 GB97 + auto-detectProRecommended. Highest Whisper accuracy, slowest.
Whisper Large V3 Turbo1.62 GB97 + auto-detectProRecommended. Faster than Large V3.
Distilled Large V31.51 GBEnglishProSmaller and faster than Large V3
Distilled Large V3 Turbo1.53 GBEnglishPro
Parakeet V2476 MBEnglishProRecommended
Parakeet V3494 MB25+ European, auto-detect onlyProRecommended
Qwen3 0.6B1.02 GB31 + auto-detectProNo timestamps
Qwen3 1.7B2.47 GB31 + auto-detectProNo timestamps. More accurate, more memory.
Qwen3 ForcedAligner 0.6B1.28 GB12 + auto-detectProRecommended. Adds word timestamps; downloads Qwen3 0.6B too.
Cohere Transcribe 8-bit2.42 GB14ProRecommended. No timestamps.
Cohere Transcribe FP164.13 GB14ProNo timestamps. Slower, more memory than 8-bit.

Cohere supports English, French, German, Spanish, Italian, Portuguese, Dutch, Polish, Greek, Arabic, Japanese, Chinese, Korean and Vietnamese. The language menu in each job shows exactly what the selected model supports.

Language-tuned Whisper models (Pro)

These are Whisper Large V3 models fine-tuned by the community for one language. Use them when the general model makes too many mistakes in that language.

ModelSize
Large V3 German3.1 GB
Large V3 Turbo German1.29 GB
Large V3 Turbo Swiss German1.63 GB
Large V3 Chinese3.1 GB
Large V3 Turbo Korean1.63 GB
Large V3 Arabic3.1 GB
Large V3 Catalan3.1 GB
Large V3 French2.3 GB
Large V3 Hebrew3.1 GB
Large V3 Hinglish3.1 GB

Need another language? The Whisper model pane says to email requests for fine-tuned models to support@transcribex.io.

Live-only models

These stream text as you speak and appear in the model menu of the live transcription page. You can’t use them for files.

ModelLanguagesPlanNotes
Parakeet EOU 160msEnglishFreeLowest latency
Parakeet EOU 320msEnglishProBalanced latency and throughput
Parakeet EOU 1280msEnglishProHighest throughput
Nemotron Streaming 560ms (about 600 MB)30+ with auto-detectProRecommended. Multilingual, with punctuation.
Scribe v2 Realtime99 with auto-detectProOnline, ElevenLabs API key required

Online models (Pro)

If you prefer a cloud model, TranscribeX can use your own ElevenLabs or Mistral account. These send your audio to that company’s servers, and you pay them for usage.

Both have a Diarize option that lets the service label speakers instead of TranscribeX.

Timestamps, speakers and reflow

Some features need timestamps from the model:

For subtitles and speaker labels, pick Whisper, Parakeet or Qwen3 ForcedAligner.

Download and manage models

Download models in Settings › Whisper Model, Parakeet Model, Qwen Model and Cohere Model, or click More Models... in a job’s model menu. See manage models for storage, deleting models and hardware settings.

Model FAQ

What is the best free transcription model in TranscribeX?

Apple On-Device, if your Mac runs macOS 26 or later. In our test it matched Parakeet V2 on English accuracy at Whisper Tiny speed. On older macOS, use Whisper Tiny.

Should I use Whisper or Parakeet?

For English, Parakeet V2 was both faster and more accurate than Whisper Large V3 in our test. Parakeet V3 covers 25+ European languages. For any other language, use Whisper Large V3 Turbo or Large V3. More in Parakeet and Whisper.

Do models work offline?

Yes. Once downloaded, every local model runs without internet. Only the ElevenLabs and Mistral models need a connection.

More in Transcription

All help articles · Still stuck? Email support@transcribex.io.