analyticsinmotion/werx
🐍📦 Easy-to-use Python package for lightning-fast Word Error Rate (WER) analysis
This tool helps you quickly assess the accuracy of text transcription systems, like those used in voice-to-text applications or call center analytics. You input the correct version of what was said (reference text) and the system's transcribed output, and it calculates how many words were wrong. This is for data scientists, speech engineers, or researchers who need to evaluate and compare transcription quality efficiently.
Used by 1 other package. Available on PyPI.
Use this if you need to rapidly calculate the Word Error Rate (WER) for large volumes of transcribed text to evaluate speech-to-text models or similar systems.
Not ideal if you're looking for a full natural language processing toolkit for text analysis beyond error rate calculation.
Stars
8
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 11, 2026
Commits (30d)
0
Reverse dependents
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/analyticsinmotion/werx"
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