kahne/fastwer
A PyPI package for fast word/character error rate (WER/CER) calculation
Leverages C++ bindings via pybind11 for high-performance computation of both word and character-level error rates. Supports dual granularity evaluation through corpus-level aggregation and sentence-level scoring, enabling detailed error analysis across different scopes.
Available on PyPI.
Stars
70
Forks
16
Language
Python
License
MIT
Category
Last pushed
Feb 13, 2026
Monthly downloads
879
Commits (30d)
0
Dependencies
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/kahne/fastwer"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
fgnt/meeteval
MeetEval - A meeting transcription evaluation toolkit
readbeyond/aeneas
aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka...
analyticsinmotion/werpy
🐍📦 Ultra-fast Python package for calculating and analyzing the Word Error Rate (WER). Built for...
tabahi/bournemouth-forced-aligner
Extract phoneme-level timestamps from speeh audio.
wq2012/SimpleDER
A lightweight library to compute Diarization Error Rate (DER).