Price: $0.08515 -4.2605%
Market Cap: $13.28B 0.4829%
Volume (24h): 1.11B 0%
Dominance: 0.4829%
Price: $0.08515 -4.2605%
Market Cap: $13.28B 0.4829%
Volume (24h): 1.11B 0%
Dominance: 0.4829% 0.4829%
  • Price: $0.08515 -4.2605%
  • Market Cap: 13.28B 0.4829%
  • Volume (24h): 1.11B 0%
  • Dominance: 0.4829% 0.4829%
  • Price: $0.08515 -4.2605%
Home > 视频 > OCR Evaluation in Python: Measure CER and WER with jiwer

OCR Evaluation in Python: Measure CER and WER with jiwer

Release: 2026/09/20 21:03 Reading: 0

Original author:Professor Py: AI Engineering

Original source:https://www.youtube.com/embed/bCHclQ72ecg

OCR quality checks with jiwer: compare raw vs. normalized WER/CER and pinpoint word-level edits that can break RAG retrieval. Learn a practical workflow to detect single-character and token errors, apply normalization policies, and gate documents before vector indexing. Demo uses jiwer (cer, process_words, process_characters) and alignment diagnostics in Python for corpus-level OCR evaluation. #OCR #jiwer #WER #CER #RAG #Python Subscribe for clear AI engineering and Python tutorials.

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