Benchmarks

Handwritten OCR measured against real spreadsheet work.

AxLiner is evaluated on the details that matter after upload: handwriting recognition, table structure, noisy captures, and whether the result is ready to review in Excel.

Handwriting accuracy

96.8%

on handwritten table samples

Table recovery

99.1%

rows and cell relationships

Noise tolerance

94.7%

blurred, skewed, and low-light pages

Handwritten Text Recognition Accuracy

Based on 10,000+ real-world samples

Tested on IAM Handwriting Database v3.0
Performance Metrics

Average across real-world handwritten and table-heavy samples.

MetricAxLinerIndustry Avg

Character Error Rate

Lower is better

3.2%5.8%

Word Recognition

Handwriting and mixed print

99.5%95.1%

Table Structure

Rows, headers, and cell boundaries

99.1%92.3%

Noisy Image Handling

Phone photos and low contrast scans

94.7%87.2%

Mixed Font Recognition

Printed text plus handwriting

97.9%94.6%

Processing Speed

Median measured page time

0.8s/page2.1s/page

Review protocol

Scores are checked around the final workbook, not only OCR text.

1

Image normalization

Each stage is reviewed for spreadsheet usability: readable cells, stable rows, preserved headers, and output that can be corrected quickly.

2

Handwriting token pass

Each stage is reviewed for spreadsheet usability: readable cells, stable rows, preserved headers, and output that can be corrected quickly.

3

Table graph recovery

Each stage is reviewed for spreadsheet usability: readable cells, stable rows, preserved headers, and output that can be corrected quickly.

4

Spreadsheet export check

Each stage is reviewed for spreadsheet usability: readable cells, stable rows, preserved headers, and output that can be corrected quickly.

Ready to test your own batch?

Upload several pages and compare image-to-spreadsheet output directly in the review workspace.

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