← Speech to text (English) libraries · Reader board

whisper.cpp 1.5.1 on Speech to text (English)

130 files: text from 130, empty 0, errors 0, hangs 0, crashes 0. 130 files give text to at least one library.

🔴 Fails where another library reads text: none

🟡 Empty where another library reads text: none

⚔️ Compare: faster-whisper vs whisper.cpp · whisper.cpp vs Whisper

Changes between versions

Only one version tested so far. The next PyPI release is tested automatically.

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[![Reader board](https://img.shields.io/endpoint?url=https://prometheus-maker.github.io/reader-board/badges/speech-whisper-cpp.json)](https://prometheus-maker.github.io/reader-board/speech-whisper-cpp.html)

Slowest files

earnings-calls/49_13_72.wav1.67 s, 342 MB
librispeech-other/5484-24317-0027.wav1.589 s, 342 MB
librispeech-clean/5683-32866-0019.wav1.572 s, 342 MB
librispeech-clean/1089-134691-0009.wav1.545 s, 342 MB
librispeech-clean/1221-135767-0003.wav1.507 s, 342 MB
fleurs/8398257681626621326.wav1.503 s, 342 MB
earnings-calls/735_10_43.wav1.484 s, 342 MB
ami-close-mic/AMI_EN2002a_H00_MEE073_0030336_0030633.wav1.474 s, 295 MB
ami-far-field/AMI_EN2002c_sdm_MEE071_0048700_0048948.wav1.449 s, 339 MB
librispeech-clean/1221-135766-0003.wav1.401 s, 342 MB

Recipe: board/targets.py. Run: 2026-11-06T19:41:45Z, Python 3.13.18, Linux x86_64, 4 CPUs (log). Installed: RapidFuzz==3.14.6, certifi==2026.10.23, charset-normalizer==3.5.2, idna==3.20, indic_numtowords==1.1.0, more-itertools==11.2.1, numpy==2.5.4, platformdirs==4.14.5, pywhispercpp==1.5.1, regex==2026.9.29, requests==2.34.2, text2num==3.1.0, tqdm==4.70.1, urllib3==2.8.0, whisper_normalizer==1.0.0