Icelandic OCR Leaderboard

How well OCR and vision-language models transcribe Icelandic documents — a broken-out scorecard, not a single grade. Ranked on micro-averaged character error rate, read as confidence intervals, not ranks.

The test material is a ground truth sample drawn from Sigurdur/icelandic-ocr-benchmark, pages of Icelandic-language documents. The scoring core is ported, unchanged, from finebooks/bhl-ocr-eval — same diplomatic/reading CER lanes, same bootstrap CIs, same fail-closed eligibility rule.

one line of the ground truth as each lane scores it — diplomatic keeps case and composed accents, reading case-folds and normalizes
Type
Size
click a row for per-language CER
Model Type i Params i CER · reading i CER · dip i Content CER i Sparse CER i Recall i Over-x i Loop % i

Sparse and blank pages are where models diverge most: strong content OCR can coexist with runaway hallucination on near-empty pages, and the aggregate CER shows it.

Size vs. accuracy

params (log) vs CER · upper-left is better

Reading the board. Where 95% bootstrap CIs overlap, differences are within noise — that overlap is the finding, not a defect. CIs resample volumes (source documents), so with few volumes they are wide by design.